Paper Citation Record · LEDGER

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey

As of 16 August 2026, this Paper Citation Record lists 100 of 156 outbound references and 3 inbound Pith citation observations for arXiv:2505.12384.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.12384 v1

Coverage vector

measured 100 of 156 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:38:21.353951Z

measured 103 of 103 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T12:15:01.929896Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-20T11:23:14.063326Z

Reference resolution

100 of 156 outbound references displayed

verified exact8
verified fuzzy0
unresolved90
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a94f98a1-bc7c-493d-a50a-3377d28684a6 · outbound

This paper cites Semantic Visual Simultaneous Localization and Mapping: A Survey.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Semantic Visual Simultaneous Localization and Mapping: A Survey

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:20.762914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 882bcac6-34d8-4e88-8cc8-9662d9236df2 · outbound

This paper cites A survey of visual slam in dynamic environment: The evolution from geometric to semantic approaches,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey A survey of visual slam in dynamic environment: The evolution from geometric to semantic approaches,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:20.767722Z

Source-reported events for the cited work

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Observation dc698d29-0521-4f88-92a1-98e419b609e7 · outbound

This paper cites A survey of image semantics-based visual simultaneous localization and mapping: Application-oriented solutions to autonomous navigation of mobile robots,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey A survey of image semantics-based visual simultaneous localization and mapping: Application-oriented solutions to autonomous navigation of mobile robots,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:20.771600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3534983c-7aee-4bab-a2ac-41e9ab48d14e · outbound

This paper cites An overview on visual slam: From tradition to semantic,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey An overview on visual slam: From tradition to semantic,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:20.775455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bfbc2d0-b73f-4825-abd7-ed1c7c36b1d9 · outbound

This paper cites How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Survey.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Survey

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:20.779249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f16b7113-8e6e-46eb-aeef-26fd49434a75 · outbound

This paper cites NeRFs in Robotics: A Survey.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey NeRFs in Robotics: A Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:20.783117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4309f08-f2de-457b-a653-691ea4bd170c · outbound

This paper cites Slam meets nerf: A survey of implicit slam methods,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Slam meets nerf: A survey of implicit slam methods,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:20.787708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f651342-6c82-4001-b751-a333a69556ea · outbound

This paper cites Neural Fields in Robotics: A Survey.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Neural Fields in Robotics: A Survey

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:20.791104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e90a39c9-421c-4f23-9a85-d108c96feec5 · outbound

This paper cites A Survey on 3D Gaussian Splatting.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey A Survey on 3D Gaussian Splatting

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:20.795047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d8afd40-0fb9-490a-b624-c0d08f76a20f · outbound

This paper cites 3D Gaussian Splatting: Survey, Technologies, Challenges, and Opportunities.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey 3D Gaussian Splatting: Survey, Technologies, Challenges, and Opportunities

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:20.799034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 675686ea-ae4a-406f-82fc-aa7abb262e92 · outbound

This paper cites Customizable Perturbation Synthesis for Robust SLAM Benchmarking.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Customizable Perturbation Synthesis for Robust SLAM Benchmarking

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:20.803140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd42d961-e641-4662-8bb9-6019b5c17534 · outbound

This paper cites From Perfect to Noisy World Simulation: Customizable Embodied Multi-modal Perturbations for SLAM Robustness Benchmarking.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey From Perfect to Noisy World Simulation: Customizable Embodied Multi-modal Perturbations for SLAM Robustness Benchmarking

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:20.807544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 115c4341-a2e7-408b-b293-d0a964b60225 · outbound

This paper cites Benchmarking Implicit Neural Representation and Geometric Rendering in Real-Time RGB-D SLAM.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Benchmarking Implicit Neural Representation and Geometric Rendering in Real-Time RGB-D SLAM

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:38:22.952374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 64dae1ca-5796-4a0c-8593-e8103aa53103 · outbound

This paper cites Benchmarking Neural Radiance Fields for Autonomous Robots: An Overview.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Benchmarking Neural Radiance Fields for Autonomous Robots: An Overview

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:20.815802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a6c8c91-daf5-4989-a63c-338ebe5b8114 · outbound

This paper cites Evaluating modern approaches in 3d scene reconstruction: Nerf vs gaussian-based methods,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Evaluating modern approaches in 3d scene reconstruction: Nerf vs gaussian-based methods,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:20.924767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f9d1b6e-256f-47b2-a402-ab073ecc1720 · outbound

This paper cites Chapter 8 - multimodal localization for embedded systems: A survey,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Chapter 8 - multimodal localization for embedded systems: A survey,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:20.929384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00b2c3c4-53a3-448e-b34b-99238c4b9a2a · outbound

This paper cites A survey on real-time 3D scene reconstruction with SLAM methods in embedded systems.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey A survey on real-time 3D scene reconstruction with SLAM methods in embedded systems

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:20.939310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 754a18b5-61c9-4482-9bc5-35b3e5ba3363 · outbound

This paper cites Rds-slam: Real-time dynamic slam using semantic segmentation methods,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Rds-slam: Real-time dynamic slam using semantic segmentation methods,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:20.954731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd6a92f0-3d5e-4a1f-8077-a9a146a678b5 · outbound

This paper cites VDO-SLAM: A Visual Dynamic Object-aware SLAM System,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey VDO-SLAM: A Visual Dynamic Object-aware SLAM System,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:20.958592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24167d37-bcc8-41e2-9d3e-fac782f6545c · outbound

This paper cites Rgb-d inertial odometry for a resource-restricted robot in dynamic environments,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Rgb-d inertial odometry for a resource-restricted robot in dynamic environments,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:20.974043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0105ee3a-010f-4810-934c-cf97edce72a4 · outbound

This paper cites Panoptic-slam: Visual slam in dynamic environments using panoptic segmentation,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Panoptic-slam: Visual slam in dynamic environments using panoptic segmentation,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:20.979121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff65d216-5b17-4f9a-a278-fbf161cdcf82 · outbound

This paper cites GS$ˆ {3}$LAM: Gaussian semantic splatting SLAM,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey GS$ˆ {3}$LAM: Gaussian semantic splatting SLAM,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:20.988971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42670c66-ab97-4a28-bdd8-6686aeec54a3 · outbound

This paper cites SNI-SLAM: Semantic Neural Implicit SLAM.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey SNI-SLAM: Semantic Neural Implicit SLAM

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:20.993078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e747e77e-45ec-45b7-b66c-9ae8e5f1be2c · outbound

This paper cites SGS-SLAM: Semantic Gaussian Splatting For Neural Dense SLAM.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey SGS-SLAM: Semantic Gaussian Splatting For Neural Dense SLAM

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:20.999144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58b3fc7e-7d4c-4eda-be05-01221ff936d3 · outbound

This paper cites Octomap: an efficient probabilistic 3d mapping framework based on octrees,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Octomap: an efficient probabilistic 3d mapping framework based on octrees,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.003421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73abbe54-acbc-4717-8fb8-97995dede53c · outbound

This paper cites Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.006849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cba296b4-1edc-40d4-bcad-d9e8f3cfb10b · outbound

This paper cites You only look once: Unified, real-time object detection,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey You only look once: Unified, real-time object detection,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.010915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7a7d56d-c4e2-497c-8bd3-6ec0e4793657 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey DINOv2: Learning Robust Visual Features without Supervision

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.016014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46f79c05-3faf-480f-b58c-e202d1793b23 · outbound

This paper cites Dunet: A deformable network for retinal vessel segmentation,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Dunet: A deformable network for retinal vessel segmentation,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.020848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc28a3c9-3737-4508-931d-96e73e5554ea · outbound

This paper cites Pyramid scene parsing network,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Pyramid scene parsing network,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.024530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ed1c22a-e484-4f70-ad2c-dcc882d6d4d4 · outbound

This paper cites Segnet: A deep convolutional encoder-decoder architecture for image segmentation,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Segnet: A deep convolutional encoder-decoder architecture for image segmentation,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.028529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4752e98-a872-4481-a0fb-689bdf772b0c · outbound

This paper cites HarDNet: A Low Memory Traffic Network.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey HarDNet: A Low Memory Traffic Network

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:38:22.720304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1613d4be-5c68-43c8-a8d0-204c211fa4cf · outbound

This paper cites BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:38:22.705466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ee33ae3b-b172-49b0-a566-b29060fe03bd · outbound

This paper cites Mask r-cnn,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Mask r-cnn,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.039473Z

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Observation f301303a-602b-4ca4-9ffd-3c82a04b4150 · outbound

This paper cites Yolact++ better real-time instance segmentation,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Yolact++ better real-time instance segmentation,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.042705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bff8477-7659-4937-a142-5c4a38ed5fd7 · outbound

This paper cites Psmd-slam: Panoptic segmentation-aided multi-sensor fusion simultaneous localization and mapping in dynamic scenes,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Psmd-slam: Panoptic segmentation-aided multi-sensor fusion simultaneous localization and mapping in dynamic scenes,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.053029Z

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Unavailable: canonical work link unavailable.

Observation 39934465-0ce2-4cec-b3e8-7661864e9ab9 · outbound

This paper cites Volumetric Semantically Consistent 3D Panoptic Mapping.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Volumetric Semantically Consistent 3D Panoptic Mapping

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:38:22.667139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation dc7043f3-e65d-41fe-a4ea-eca17e89099d · outbound

This paper cites Panoptic Feature Pyramid Networks ,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Panoptic Feature Pyramid Networks ,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.060740Z

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Observation 05861241-b3c4-45ff-98d7-0031cb070a64 · outbound

This paper cites Segment everything everywhere all at once,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Segment everything everywhere all at once,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.076566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2a6d68e-ad08-471a-91f9-918d83c51133 · outbound

This paper cites Orb-slam2: An open-source slam system for monocular, stereo, and rgb-d cameras,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Orb-slam2: An open-source slam system for monocular, stereo, and rgb-d cameras,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.081388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ce0015b-3111-4a88-ae4c-ed7d6a686bc4 · outbound

This paper cites Orb-slam3: An accurate open-source library for visual, visual–inertial, and multimap slam,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Orb-slam3: An accurate open-source library for visual, visual–inertial, and multimap slam,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.085913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 033ef760-ad39-4aa4-beae-42c9e12b4026 · outbound

This paper cites Towards real-time semantic rgb-d slam in dynamic environments,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Towards real-time semantic rgb-d slam in dynamic environments,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.089660Z

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Unavailable: canonical work link unavailable.

Observation 7c196c60-6059-48c7-9beb-02fee3ad8b3a · outbound

This paper cites Rtsdm: A real-time semantic dense mapping system for uavs,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Rtsdm: A real-time semantic dense mapping system for uavs,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.094110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03f0a881-f4b4-4383-9579-70a11b61e901 · outbound

This paper cites Solo-slam: A parallel semantic slam algorithm for dynamic scenes,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Solo-slam: A parallel semantic slam algorithm for dynamic scenes,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.097965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5c5fc4d-a10e-4af4-a3ed-c49dabbfff5e · outbound

This paper cites Rdmo-slam: Real-time visual slam for dynamic environments using semantic label prediction with optical flow,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Rdmo-slam: Real-time visual slam for dynamic environments using semantic label prediction with optical flow,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.102604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14ab63a0-7141-4fdd-9ea7-36ae934d0eeb · outbound

This paper cites D-vins: Dynamic adaptive visual–inertial slam with imu prior and semantic constraints in dynamic scenes,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey D-vins: Dynamic adaptive visual–inertial slam with imu prior and semantic constraints in dynamic scenes,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.106868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99cd4005-7666-4d45-9e9f-11750e2de59f · outbound

This paper cites Semantic visual slam in dynamic environment,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Semantic visual slam in dynamic environment,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.110475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57319026-7423-4d35-a1f0-83ad85a19efa · outbound

This paper cites Fch-slam: A slam method for dynamic environments using semantic segmentation,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Fch-slam: A slam method for dynamic environments using semantic segmentation,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.113917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7b9b4c1-8606-4705-98a2-f4aa04ac9023 · outbound

This paper cites Wf-slam: A robust vslam for dynamic scenarios via weighted features,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Wf-slam: A robust vslam for dynamic scenarios via weighted features,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.117257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34671069-c626-4e71-94c7-841a9433c353 · outbound

This paper cites Slamantic - leveraging semantics to improve vslam in dynamic environments,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Slamantic - leveraging semantics to improve vslam in dynamic environments,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.121229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 409823b2-b1ec-4982-947a-e7d7badb53b1 · outbound

This paper cites Sad-slam: A visual slam based on semantic and depth information,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Sad-slam: A visual slam based on semantic and depth information,

Reference 52

Resolution: metadata mismatch; raw_fallback, observed 2026-08-15T20:38:22.512856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation af7ca784-0a59-439e-9f76-d87679591080 · outbound

This paper cites Ds-slam: A semantic visual slam towards dynamic environments.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Ds-slam: A semantic visual slam towards dynamic environments

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.127844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c7d4a66-2049-4cc2-a6f5-29213ee10b4b · outbound

This paper cites Dynaslam: Tracking, mapping, and inpainting in dynamic scenes,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Dynaslam: Tracking, mapping, and inpainting in dynamic scenes,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.131652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19d96ff4-f6bb-4020-83ea-7de844d440c3 · outbound

This paper cites Sof-slam: A semantic visual slam for dynamic environments,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Sof-slam: A semantic visual slam for dynamic environments,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.135143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6a7eed7-0ed7-4f11-84a5-48e0c70d93dc · outbound

This paper cites Dynamic scene semantics slam based on semantic segmentation,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Dynamic scene semantics slam based on semantic segmentation,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.138399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 713b09c0-6e15-433b-b849-a5c3dfe88b55 · outbound

This paper cites Ofm-slam: A visual semantic slam for dynamic indoor environments,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Ofm-slam: A visual semantic slam for dynamic indoor environments,

Reference 57

Resolution: verified exact; doi, observed 2026-08-15T20:38:21.637872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 55218d67-4e5e-488f-b898-ecb0e7a553d4 · outbound

This paper cites Ddl-slam: A robust rgb-d slam in dynamic environments combined with deep learning,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Ddl-slam: A robust rgb-d slam in dynamic environments combined with deep learning,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.145445Z

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Observation a544f72d-f0af-4291-8f28-1539eabc0479 · outbound

This paper cites D2SLAM: Semantic visual SLAM based on the Depth-related influence on object interactions for Dynamic environments.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey D2SLAM: Semantic visual SLAM based on the Depth-related influence on object interactions for Dynamic environments

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:38:22.330383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2b00b75a-f88f-4928-8136-3840e060b89a · outbound

This paper cites A semantic SLAM system for dynamic environments,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey A semantic SLAM system for dynamic environments,

Reference 60

Resolution: verified exact; doi, observed 2026-08-15T20:38:21.624833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 006ca395-8a70-46bd-9ab2-970f223dc4cc · outbound

This paper cites Learning from feedback: Semantic enhancement for object slam using foundation models,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Learning from feedback: Semantic enhancement for object slam using foundation models,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.156572Z

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Observation 1d52bae3-3bd6-45fa-acf2-8b323df9471a · outbound

This paper cites V3d-slam: Robust rgb-d slam in dynamic environments with 3d semantic geometry voting,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey V3d-slam: Robust rgb-d slam in dynamic environments with 3d semantic geometry voting,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.164935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a3dd901-896f-4cb6-8da1-5442374acff3 · outbound

This paper cites 3ds-slam: A 3d object detection based semantic slam towards dynamic indoor environments,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey 3ds-slam: A 3d object detection based semantic slam towards dynamic indoor environments,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.168966Z

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Observation 40c71358-12fd-45c1-ae7d-d71562512839 · outbound

This paper cites Blitz-slam: A semantic slam in dynamic environments,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Blitz-slam: A semantic slam in dynamic environments,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.179732Z

Source-reported events for the cited work

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Observation 3425a767-9015-460a-aae1-8b2ae6c2c86f · outbound

This paper cites By-slam: Dynamic visual slam system based on beblid and semantic information extraction,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey By-slam: Dynamic visual slam system based on beblid and semantic information extraction,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.184252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5a328e5-b445-4cc0-90bd-0af6d36c8958 · outbound

This paper cites Yolo-slam: A semantic slam system towards dynamic environment with geometric constraint,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Yolo-slam: A semantic slam system towards dynamic environment with geometric constraint,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.188110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44284d6f-a540-446b-b988-5fe5c26bf8cc · outbound

This paper cites A dynamic object filtering approach based on object detection and geometric constraint between frames,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey A dynamic object filtering approach based on object detection and geometric constraint between frames,

Reference 67

Resolution: verified exact; doi, observed 2026-08-15T20:38:21.610919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5ef3da5e-a3e2-4d22-a362-690594221240 · outbound

This paper cites Orbslam-atlas: a robust and accurate multi-map system,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Orbslam-atlas: a robust and accurate multi-map system,

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.196869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc16baab-db11-4f37-bed4-a38205d2660a · outbound

This paper cites Solov2: Dynamic and fast instance segmentation,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Solov2: Dynamic and fast instance segmentation,

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.205354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 377a46fa-725e-4d3a-b9e3-cdbdd30a3ee5 · outbound

This paper cites Mid-fusion: Octree-based object-level multi-instance dynamic slam,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Mid-fusion: Octree-based object-level multi-instance dynamic slam,

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.209172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fbcfec8-3e0c-4d77-b00a-727949b78650 · outbound

This paper cites PWC-Net: CNNs for optical flow using pyramid, warping, and cost volume,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey PWC-Net: CNNs for optical flow using pyramid, warping, and cost volume,

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.213447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0568c06-6c55-4d28-add3-fef14b27a81e · outbound

This paper cites Suma++: Efficient lidar-based semantic slam,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Suma++: Efficient lidar-based semantic slam,

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.217109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9d88ecf-4862-4a6f-af5a-1cdbe52bc96d · outbound

This paper cites Efficient surfel-based slam using 3d laser range data in urban environments,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Efficient surfel-based slam using 3d laser range data in urban environments,

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.221049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cb21d0c-f280-4a1e-9e2e-2201052c881a · outbound

This paper cites Dynamic-SLAM: Semantic Monocular Visual Localiza- tion and Mapping Based on Deep Learning in Dynamic Environment,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Dynamic-SLAM: Semantic Monocular Visual Localiza- tion and Mapping Based on Deep Learning in Dynamic Environment,

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.229713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be12aa67-3762-4e05-a30e-c461aea6d8fb · outbound

This paper cites SALSA: Semantic assisted life-long SLAM for indoor environments,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey SALSA: Semantic assisted life-long SLAM for indoor environments,

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.233492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dc51ea1-f70c-4943-b57a-182474462c2a · outbound

This paper cites DynaSLAM II: Tightly-Coupled Multi-Object Tracking and SLAM.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey DynaSLAM II: Tightly-Coupled Multi-Object Tracking and SLAM

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.237170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f16ff04-a98b-409f-ac07-5359633e54b5 · outbound

This paper cites An fpga based energy efficient ds-slam accelerator for mobile robots in dynamic environment,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey An fpga based energy efficient ds-slam accelerator for mobile robots in dynamic environment,

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.242193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34deda92-355d-4762-98e0-38f0bc05c8cb · outbound

This paper cites Dp-slam: A visual slam with moving probability towards dynamic environments,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Dp-slam: A visual slam with moving probability towards dynamic environments,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.246254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fac9581-383c-42af-a0d0-3bb6123e317f · outbound

This paper cites Vins-mono: A robust and versatile monocular visual-inertial state estimator,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Vins-mono: A robust and versatile monocular visual-inertial state estimator,

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.250358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab612c59-bfd2-4fc1-98f5-942a2ab71da1 · outbound

This paper cites Rgbd-inertial trajectory estimation and mapping for ground robots,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Rgbd-inertial trajectory estimation and mapping for ground robots,

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.254507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 485a3b7b-79d5-4ab4-b340-db9b68674702 · outbound

This paper cites Semantic lidar odometry and mapping for mobile robots using rangenet++,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Semantic lidar odometry and mapping for mobile robots using rangenet++,

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.262878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d462e52-aa59-4f58-94a0-af7b113d9b00 · outbound

This paper cites Twistslam++: Fusing multiple modalities for accurate dynamic semantic slam,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Twistslam++: Fusing multiple modalities for accurate dynamic semantic slam,

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.266664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90346262-1469-46db-bd1f-da4312027055 · outbound

This paper cites Twistslam: Constrained slam in dynamic environment,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Twistslam: Constrained slam in dynamic environment,

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.275615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f0507b6-4bac-4390-8c97-e4be6e064f58 · outbound

This paper cites S3lam: Structured scene slam,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey S3lam: Structured scene slam,

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.280024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de12ee28-0d83-4199-8297-c4648ba416ab · outbound

This paper cites 3dssd: Point-based 3d single stage object detector,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey 3dssd: Point-based 3d single stage object detector,

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.284057Z

Source-reported events for the cited work

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Observation 485c8449-4c28-4f1e-89dc-bae5817016c9 · outbound

This paper cites Available: https://www.mdpi.com/1424-8220/19/10/ 2251.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Available: https://www.mdpi.com/1424-8220/19/10/ 2251

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.258429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc1926a5-84fd-4c70-8cf4-a713cf83c284 · outbound

This paper cites An online semantic mapping system for extending and enhancing visual slam,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey An online semantic mapping system for extending and enhancing visual slam,

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.291856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62198809-5590-40f2-8ea0-a9ed8f39fb73 · outbound

This paper cites Factor graphs and gtsam: A hands-on introduction,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Factor graphs and gtsam: A hands-on introduction,

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.295670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3aae24bf-e98e-40f3-9755-0b93a5eea42b · outbound

This paper cites TwistSLAM++: Fusing multiple modalities for accurate dynamic semantic SLAM.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey TwistSLAM++: Fusing multiple modalities for accurate dynamic semantic SLAM

Reference 89

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T20:38:22.137636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9b091929-d36b-4c6c-a883-643f83729503 · outbound

This paper cites So-slam: Semantic object slam with scale proportional and symmetrical texture constraints,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey So-slam: Semantic object slam with scale proportional and symmetrical texture constraints,

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.310660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89a04c7d-45b1-4467-8a6d-145a2a19ba13 · outbound

This paper cites Quadricslam: Dual quadrics from object detections as landmarks in object-oriented slam,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Quadricslam: Dual quadrics from object detections as landmarks in object-oriented slam,

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.315128Z

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Observation 4f15ad27-8937-4c43-a0ab-44ba315687a9 · outbound

This paper cites Visual localization and mapping in dynamic and changing environments,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Visual localization and mapping in dynamic and changing environments,

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.319204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5a6d583-02d2-43a3-8801-85ada4c9dc1d · outbound

This paper cites Detectron2,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Detectron2,

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.287774Z

Source-reported events for the cited work

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Observation 3758f72b-5e76-4b59-a46b-b4416c1b3775 · outbound

This paper cites A General Optimization-based Framework for Global Pose Estimation with Multiple Sensors.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey A General Optimization-based Framework for Global Pose Estimation with Multiple Sensors

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.326731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f336e89-35fe-42ab-b99a-9482257993db · outbound

This paper cites An End-to-End Transformer Model for 3D Object Detection,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey An End-to-End Transformer Model for 3D Object Detection,

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.330897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7d8858c-05a3-4248-8a73-ab3ea3bcdfc8 · outbound

This paper cites Ydd-slam: Indoor dynamic visual slam fusing yolov5 with depth information,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Ydd-slam: Indoor dynamic visual slam fusing yolov5 with depth information,

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.334828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation caf52caf-ca69-4664-b967-8cf5cabf4896 · outbound

This paper cites Dgs-slam: A fast and robust rgbd slam in dynamic environments combined by geometric and semantic information,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Dgs-slam: A fast and robust rgbd slam in dynamic environments combined by geometric and semantic information,

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.303068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf2244c0-92de-4edc-8324-df3716486c70 · outbound

This paper cites PVO: Panoptic visual odometry,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey PVO: Panoptic visual odometry,

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.342249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e83c00f-2b38-4a75-8353-39fb5c5ebfac · outbound

This paper cites DROID-SLAM: Deep Visual SLAM for Monoc- ular, Stereo, and RGB-D Cameras,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey DROID-SLAM: Deep Visual SLAM for Monoc- ular, Stereo, and RGB-D Cameras,

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.346453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0e30b1e-a115-4e46-9a5a-7250a3d4c9ed · outbound

This paper cites Sd-slam: A semantic slam approach for dynamic scenes based on lidar point clouds,.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Sd-slam: A semantic slam approach for dynamic scenes based on lidar point clouds,

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.350329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fa5dce3-f592-41ad-a5e5-818cea7d5f9c · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:21.353951Z

Source-reported events for the cited work

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Pith citing papers

Observation bef75040-9695-4457-887b-68b53ad05137 · inbound

A Survey of Spatial Memory Representations for Efficient Robot Navigation cites this paper.

A Survey of Spatial Memory Representations for Efficient Robot Navigation Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:36:02.969357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 88ef917b-3f79-436d-ac19-6c7a0abfe2af · inbound

Token-Space Mask Prediction for Efficient Vision Transformer Segmentation cites this paper.

Token-Space Mask Prediction for Efficient Vision Transformer Segmentation Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:23:14.064997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1b6cb0dd-c283-4e29-bc41-73e12b46813b · inbound

Robotic Contextual Awareness for Human-Robot Collaboration and Environmental Understanding cites this paper.

Robotic Contextual Awareness for Human-Robot Collaboration and Environmental Understanding Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey

Reference 183

Resolution: unresolved; no resolver link, observed 2026-07-14T12:15:01.929896Z

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