Paper Citation Record · LEDGER

Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions

As of 13 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2412.02370.

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

pith.paper-citation-record.v1
2412.02370 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:38:53.707742Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:51:02.912402Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T15:51:03.012037Z

Reference resolution

28 of 28 outbound references displayed

verified exact0
verified fuzzy21
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b0394a8f-40cb-4473-9eb9-e9a1e74e13e1 · outbound

This paper cites Vision meets robotics: The kitti dataset,.

Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions Vision meets robotics: The kitti dataset,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T23:38:53.617703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dec99fb-9925-4117-abea-dad70a08fc06 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions nuscenes: A multimodal dataset for autonomous driving,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:38:54.023716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9fa6cdce-e942-46f5-b72a-a5fc1e240048 · outbound

This paper cites Bdd100k: A diverse driving dataset for heterogeneous multi- task learning,.

Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions Bdd100k: A diverse driving dataset for heterogeneous multi- task learning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:38:54.012709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2ba5588d-b96f-40cc-933b-e0a0ede0168c · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding,.

Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions The cityscapes dataset for semantic urban scene understanding,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:38:54.001965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 12e574a2-28a0-4bfb-bdcb-b0ea663fed51 · outbound

This paper cites Idd-aw: A benchmark for safe and robust segmentation of drive scenes in unstructured traffic and adverse weather,.

Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions Idd-aw: A benchmark for safe and robust segmentation of drive scenes in unstructured traffic and adverse weather,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:38:53.991111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0bae2fb7-70a4-44f7-b154-39d86a8f4bd0 · outbound

This paper cites Acdc: The adverse conditions dataset with correspondences for semantic driving scene understanding,.

Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions Acdc: The adverse conditions dataset with correspondences for semantic driving scene understanding,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:38:53.981209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ce48df4f-b3ce-4575-815a-03449cc37665 · outbound

This paper cites Self-supervised traversability prediction by learning to reconstruct safe terrain,.

Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions Self-supervised traversability prediction by learning to reconstruct safe terrain,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:38:53.971571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f83cbef1-204d-42d7-812a-fb442a37b097 · outbound

This paper cites Learning o ff-road terrain traversability with self-supervisions only,.

Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions Learning o ff-road terrain traversability with self-supervisions only,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:38:53.961836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bfa79178-0921-4b97-a941-f324fa72a8cf · outbound

This paper cites V-strong: Visual self-supervised traversability learning for o ff-road navigation,.

Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions V-strong: Visual self-supervised traversability learning for o ff-road navigation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:38:53.951669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation af4dbad1-1e3f-4569-90dd-9782f08d66aa · outbound

This paper cites Scate: A scalable frame- work for self-supervised traversability estimation in unstructured envi- ronments,.

Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions Scate: A scalable frame- work for self-supervised traversability estimation in unstructured envi- ronments,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:38:53.941074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7c1c69c1-1da0-4063-b163-619c78cd69fa · outbound

This paper cites Tadap: Trajectory-aided drivable area auto-labeling with pretrained self- supervised features in winter driving conditions,.

Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions Tadap: Trajectory-aided drivable area auto-labeling with pretrained self- supervised features in winter driving conditions,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T23:38:53.650233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d81e8b92-7448-4769-a3ec-bae37802a5bb · outbound

This paper cites A co-point mapping-based approach to drivable area detection for self-driving cars,.

Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions A co-point mapping-based approach to drivable area detection for self-driving cars,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:38:53.924216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e1fd6414-532b-4378-b700-df5f1eab6d5c · outbound

This paper cites Probabilistic traversability map generation using 3d-lidar and camera,.

Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions Probabilistic traversability map generation using 3d-lidar and camera,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:38:53.914253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b4bd7457-1d79-48c9-b0bc-cbdbd81fc28a · outbound

This paper cites RoadRunner -- Learning Traversability Estimation for Autonomous Off-road Driving.

Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions RoadRunner -- Learning Traversability Estimation for Autonomous Off-road Driving

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T23:38:53.659311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 980e09a2-8776-4a7a-86dc-d816570eba16 · outbound

This paper cites Learning-on-the-Drive: Self-supervised Adaptation of Visual Offroad Traversability Models.

Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions Learning-on-the-Drive: Self-supervised Adaptation of Visual Offroad Traversability Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T23:38:53.662886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c022079-49cb-41ed-ae74-1890e3c9cdad · outbound

This paper cites Self-supervised drivable area and road anomaly segmentation using rgb-d data for robotic wheelchairs,.

Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions Self-supervised drivable area and road anomaly segmentation using rgb-d data for robotic wheelchairs,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:38:53.903294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fca0551d-2e16-45eb-93ea-a1ff0b4b776c · outbound

This paper cites Self-supervised learning of the driv- able area for autonomous vehicles,.

Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions Self-supervised learning of the driv- able area for autonomous vehicles,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:38:53.890955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d10ba95e-2dbc-4c7e-9746-7d0002c8c700 · outbound

This paper cites Self-supervised driv- able area segmentation using lidar’s depth information for autonomous driving,.

Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions Self-supervised driv- able area segmentation using lidar’s depth information for autonomous driving,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:38:53.878973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9632397c-4325-40ec-9712-593c57df89bf · outbound

This paper cites Camera–lidar sen- sor fusion for drivable area detection in winter weather using convolu- tional neural networks,.

Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions Camera–lidar sen- sor fusion for drivable area detection in winter weather using convolu- tional neural networks,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:38:53.867213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f5cd9e57-f4c4-4b0a-b7d4-7dbd9648ea54 · outbound

This paper cites Emerging properties in self-supervised vision transformers,.

Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions Emerging properties in self-supervised vision transformers,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:38:53.855906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 79f7a3b2-a463-449f-ae75-fbd092442c74 · outbound

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

Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions DINOv2: Learning Robust Visual Features without Supervision

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T23:38:53.684426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74e0746d-e118-4477-ace0-dc8144ceb949 · outbound

This paper cites Segment anything,.

Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions Segment anything,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:38:53.844815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dda4ea37-0cd1-4413-ab0d-011e3244be04 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions SAM 2: Segment Anything in Images and Videos

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T23:38:53.691615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 949ea162-37ad-4615-8432-6fc7f2bb31cf · outbound

This paper cites A 3d lidar data-based dedicated road boundary detection algorithm for autonomous vehicles,.

Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions A 3d lidar data-based dedicated road boundary detection algorithm for autonomous vehicles,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:38:53.834551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 79212c94-7764-4f90-a5d6-680f105f2f67 · outbound

This paper cites Speed and accuracy tradeo ff for lidar data based road boundary detection,.

Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions Speed and accuracy tradeo ff for lidar data based road boundary detection,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:38:53.824055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 516226ac-dc10-4c47-b572-8b6b2bfe2a7b · outbound

This paper cites Road-segmentation-based curb detection method for self-driving via a 3d-lidar sensor,.

Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions Road-segmentation-based curb detection method for self-driving via a 3d-lidar sensor,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:38:53.813226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e4648fe6-c81e-42dc-8306-f1e74b319057 · outbound

This paper cites Efficient inference in fully connected crfs with gaussian edge potentials,.

Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions Efficient inference in fully connected crfs with gaussian edge potentials,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:38:53.800768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 52892eac-21a7-4626-a8ad-2a3529d91f2b · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T23:38:53.707742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 5bbb9cc1-c3a9-4092-81cb-21448c72edee · inbound

Label Correction for Road Segmentation Using Road-side Cameras cites this paper.

Label Correction for Road Segmentation Using Road-side Cameras Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-09T15:51:03.018988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.