EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications | Paper Citation Record

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This paper cites nvidia.com/deeplearning/tensorrt/latest/ index.html.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications nvidia.com/deeplearning/tensorrt/latest/ index.html

Reference 1

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This paper cites PreTR: Spatio-Temporal Non-Autoregressive Trajectory Prediction Transformer.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications PreTR: Spatio-Temporal Non-Autoregressive Trajectory Prediction Transformer

Reference 2

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This paper cites So- cial lstm: Human trajectory prediction in crowded spaces.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications So- cial lstm: Human trajectory prediction in crowded spaces

Reference 3

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This paper cites Zenseact open dataset: A large-scale and diverse multimodal dataset for autonomous driving.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Zenseact open dataset: A large-scale and diverse multimodal dataset for autonomous driving

Reference 4

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This paper cites Pishgu: Universal path prediction network architecture for real-time cyber-physical edge systems.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Pishgu: Universal path prediction network architecture for real-time cyber-physical edge systems

Reference 5

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This paper cites Real-time adaptive background modeling for multicore embedded systems.Journal of Signal Process- ing Systems, 62:65–76.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Real-time adaptive background modeling for multicore embedded systems.Journal of Signal Process- ing Systems, 62:65–76

Reference 6

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This paper cites Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction

Reference 7

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This paper cites Lightprune: Latency-aware structured pruning for ef- ficient deep inference on embedded devices.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Lightprune: Latency-aware structured pruning for ef- ficient deep inference on embedded devices

Reference 8

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Observation e4d1321e-68f7-46ef-a139-cd91778c6eb6 · outbound

This paper cites nuscenes: A multi- modal dataset for autonomous driving.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications nuscenes: A multi- modal dataset for autonomous driving

Reference 9

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This paper cites MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction

Reference 10

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This paper cites Re- thinking backbone design for lightweight 3d object detection in lidar.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Re- thinking backbone design for lightweight 3d object detection in lidar

Reference 11

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This paper cites Argoverse: 3d tracking and forecasting with rich maps.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Argoverse: 3d tracking and forecasting with rich maps

Reference 12

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This paper cites Tvm: An auto- mated end-to-end optimizing compiler for deep learning.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Tvm: An auto- mated end-to-end optimizing compiler for deep learning

Reference 13

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Observation 7b15f6b4-509e-47f8-baa4-bd1684ba6dcb · outbound

This paper cites Dedicated inference engine and binary-weight neural networks for lightweight instance segmentation.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Dedicated inference engine and binary-weight neural networks for lightweight instance segmentation

Reference 14

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This paper cites an unresolved cited work.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Unresolved cited work

Reference 15

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Observation ef956eec-6229-4359-8b2b-f631b1507b07 · outbound

This paper cites Onboard stereo vision for drone pursuit or sense and avoid.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Onboard stereo vision for drone pursuit or sense and avoid

Reference 16

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Observation cc7ddd0b-3feb-4360-978c-17d4ecbbd988 · outbound

This paper cites Next generation simula- tion (NGSIM), Interstate 80 freeway dataset.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Next generation simula- tion (NGSIM), Interstate 80 freeway dataset

Reference 17

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Observation 65932043-0162-4cf4-864e-bd8ef1a2124a · outbound

This paper cites Next generation simulation (NGSIM), US Highway-101 dataset.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Next generation simulation (NGSIM), US Highway-101 dataset

Reference 18

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EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Unresolved cited work

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Observation 5ac0094c-0580-42f4-b0b3-667e38596095 · outbound

This paper cites Multi-Modal Trajectory Prediction of Surrounding Vehicles with Maneuver based LSTMs.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Multi-Modal Trajectory Prediction of Surrounding Vehicles with Maneuver based LSTMs

Reference 20

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Observation 275963bb-6e39-4d89-b93c-e7b845387506 · outbound

This paper cites Auto- matic camera calibration for traffic understanding.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Auto- matic camera calibration for traffic understanding

Reference 21

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Observation 71af6231-9b23-4686-8213-6a5e4837a440 · outbound

This paper cites Vectornet: Encoding hd maps and agent dynamics from vectorized rep- resentation.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Vectornet: Encoding hd maps and agent dynamics from vectorized rep- resentation

Reference 22

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EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Unresolved cited work

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Observation bbeb24d6-c127-45f8-8a13-1aed036c4533 · outbound

This paper cites Speed estimation and abnormality detection from surveillance cameras.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Speed estimation and abnormality detection from surveillance cameras

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Observation 73769f63-6964-493b-bbbd-73760d5cd753 · outbound

This paper cites Maybank, and Dacheng Tao.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Maybank, and Dacheng Tao

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This paper cites Goal-based Trajectory Prediction for improved Cross-Dataset Generalization.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Goal-based Trajectory Prediction for improved Cross-Dataset Generalization

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Observation 9a82f9ba-1a8e-43a3-9f49-e8137ed05e1a · outbound

This paper cites Densetnt: End-to-end trajectory prediction from dense goal sets.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Densetnt: End-to-end trajectory prediction from dense goal sets

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Observation 38a08fdc-6b9a-4a17-bab8-3c899c58076e · outbound

This paper cites Social gan: Socially acceptable tra- jectories with generative adversarial networks.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Social gan: Socially acceptable tra- jectories with generative adversarial networks

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Observation bd06a215-8861-4eaf-97d8-f396fcab37e5 · outbound

This paper cites Sensor fusion in autonomous vehicle with traffic surveillance camera system: detection, localiza- tion, and ai networking.Sensors, 23(6):3335.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Sensor fusion in autonomous vehicle with traffic surveillance camera system: detection, localiza- tion, and ai networking.Sensors, 23(6):3335

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Observation daf62d33-bbe4-449f-8dc8-4f17e7ed058f · outbound

This paper cites Distilling the Knowledge in a Neural Network.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Distilling the Knowledge in a Neural Network

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Observation 7b5a0667-95a1-4612-9eaf-9861c9819649 · outbound

This paper cites Trajectory mamba: Efficient attention-mamba forecasting model based on selective ssm.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Trajectory mamba: Efficient attention-mamba forecasting model based on selective ssm

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This paper cites Intro- ducing probabilistic b ´ezier curves for N-step sequence pre- diction.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Intro- ducing probabilistic b ´ezier curves for N-step sequence pre- diction

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Observation 66d51b42-834e-47ac-8ff3-1a657cdb2b53 · outbound

This paper cites Jeong, J.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Jeong, J

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Observation 08fcec4d-dfe9-4b5c-88ef-fb69dfa3ae37 · outbound

This paper cites Deeptrack: Lightweight deep learning for vehicle trajectory prediction in highways.IEEE Transactions on Intelligent Transporta- tion Systems, 23(10):18927–18936.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Deeptrack: Lightweight deep learning for vehicle trajectory prediction in highways.IEEE Transactions on Intelligent Transporta- tion Systems, 23(10):18927–18936

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Observation b113e92e-2000-4a36-9f49-fea35f4bd967 · outbound

This paper cites A pov-based highway vehicle trajectory dataset and prediction architecture.IEEE Transac- tions on Intelligent Transportation Systems, 25(10):13136– 13146.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications A pov-based highway vehicle trajectory dataset and prediction architecture.IEEE Transac- tions on Intelligent Transportation Systems, 25(10):13136– 13146

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Observation 0f661477-47f4-4106-a557-9e8ead9320e8 · outbound

This paper cites The highd dataset: A drone dataset of natural- istic vehicle trajectories on german highways for valida- tion of highly automated driving systems.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications The highd dataset: A drone dataset of natural- istic vehicle trajectories on german highways for valida- tion of highly automated driving systems

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Observation 383dce6e-518a-4577-86fa-2f3c1a735105 · outbound

This paper cites Hierarchical light transformer ensembles for multi- modal trajectory forecasting.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Hierarchical light transformer ensembles for multi- modal trajectory forecasting

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Observation d0d7706b-b334-473e-904b-9d5ec8a1235a · outbound

This paper cites Choy, Philip H.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Choy, Philip H

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Observation d15a5651-1f3c-4644-a969-83f3f3334d2d · outbound

This paper cites Stop-and-go traffic analysis: Theoretical properties, environ- mental impacts and oscillation mitigation.Transportation Research Part B: Methodological, 70:319–339.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Stop-and-go traffic analysis: Theoretical properties, environ- mental impacts and oscillation mitigation.Transportation Research Part B: Methodological, 70:319–339

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Observation a1f7b17d-6f6b-436d-986d-cc663178d5dc · outbound

This paper cites Grip: Graph- based interaction-aware trajectory prediction.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Grip: Graph- based interaction-aware trajectory prediction

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Observation b5ac83e3-28a9-4954-96fd-ab5a34481284 · outbound

This paper cites GRIP++: Enhanced Graph-based Interaction-aware Trajectory Prediction for Autonomous Driving.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications GRIP++: Enhanced Graph-based Interaction-aware Trajectory Prediction for Autonomous Driving

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Resolution: verified exact; arxiv_id, observed 2026-05-10T09:18:32.366578Z

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Observation 2a900b19-d37d-4720-95a3-157b7f1aa9dd · outbound

This paper cites Learning lane graph representa- tions for motion forecasting.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Learning lane graph representa- tions for motion forecasting

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:25:08.247656Z

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Observation d7336490-7887-4666-92eb-54ef84fbc718 · outbound

This paper cites A cognitive-based trajectory prediction approach for au- tonomous driving.IEEE Transactions on Intelligent Vehi- cles.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications A cognitive-based trajectory prediction approach for au- tonomous driving.IEEE Transactions on Intelligent Vehi- cles

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Observation ecb2379c-ba73-482c-88ef-e2104b00d993 · outbound

This paper cites Bat: Behavior-aware human-like trajectory prediction for au- tonomous driving.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Bat: Behavior-aware human-like trajectory prediction for au- tonomous driving

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:25:08.169872Z

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Observation 599e6563-4977-433e-80c5-8eb92d26a105 · outbound

This paper cites Vehicle trajectory prediction using lstms with spatial-temporal atten- tion mechanisms.IEEE Intelligent Transportation Systems Magazine.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Vehicle trajectory prediction using lstms with spatial-temporal atten- tion mechanisms.IEEE Intelligent Transportation Systems Magazine

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Observation c0c9b8eb-e732-4dc6-a951-eed5d72c3735 · outbound

This paper cites The exid dataset: A real- world trajectory dataset of highly interactive highway sce- narios in germany.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications The exid dataset: A real- world trajectory dataset of highly interactive highway sce- narios in germany

Reference 46

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Observation af5188e1-2b16-48e0-b6ba-a73a5b487a43 · outbound

This paper cites Mohamed, Kun Qian, Mohamed Elhoseiny, and Christian G.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Mohamed, Kun Qian, Mohamed Elhoseiny, and Christian G

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:25:08.199094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 834bc153-8624-44e0-9439-3900a31da4ff · outbound

This paper cites The 2019 ai city challenge.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications The 2019 ai city challenge

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:25:08.171814Z

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No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation dbf3f945-e42e-40cb-bb33-2ea3576f9aed · outbound

This paper cites The 4th ai city challenge.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications The 4th ai city challenge

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:25:08.186550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 213d9502-d1ef-4142-8ab0-bec43093022d · outbound

This paper cites Wayformer: Motion Forecasting via Simple & Efficient Attention Networks.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Wayformer: Motion Forecasting via Simple & Efficient Attention Networks

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T09:18:32.361672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 364c5aef-f4ea-4d38-888c-909313d0c83f · outbound

This paper cites Scene Transformer: A unified architecture for predicting multiple agent trajectories.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:18:32.406688Z

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No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation b0d9ac3d-70b9-4f68-8bbc-4be63d259f3f · outbound

This paper cites A train station surveillance system: Challenges and solutions.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications A train station surveillance system: Challenges and solutions

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:25:08.232239Z

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No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation bd7a244e-3c08-43d2-a24a-b7eaddcf0f07 · outbound

This paper cites Vt-former: An exploratory study on vehicle trajectory prediction for highway surveil- lance through graph isomorphism and transformer.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Vt-former: An exploratory study on vehicle trajectory prediction for highway surveil- lance through graph isomorphism and transformer

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:25:08.215465Z

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No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 0b07842a-b94f-4667-a724-ee01f66eae4c · outbound

This paper cites Covernet: Multimodal behavior prediction using trajectory sets.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Covernet: Multimodal behavior prediction using trajectory sets

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:25:08.291670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 5269ac73-1909-4c57-bcf6-10425b1b198f · outbound

This paper cites Cadet: a causal disentanglement approach for robust trajec- tory prediction in autonomous driving.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Cadet: a causal disentanglement approach for robust trajec- tory prediction in autonomous driving

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:25:08.287375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 421e917d-a8e6-4ef3-9375-fb4a793aebac · outbound

This paper cites Content-aware input scaling and deep learning computation offloading for low-latency embedded vision.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Content-aware input scaling and deep learning computation offloading for low-latency embedded vision

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:25:08.212914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 1f90fc49-22f5-405e-9268-bcaa68e92ae4 · outbound

This paper cites Ef- ficient motion prediction: A lightweight & accurate trajec- tory prediction model with fast training and inference speed.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Ef- ficient motion prediction: A lightweight & accurate trajec- tory prediction model with fast training and inference speed

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:25:08.225538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 6f223096-50da-4d1c-93bd-23333dcea9e2 · outbound

This paper cites Imitative non- autoregressive modeling for trajectory forecasting and im- putation.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Imitative non- autoregressive modeling for trajectory forecasting and im- putation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:25:08.282590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 853138ff-d700-4ef8-a4eb-f0fe3f9b9185 · outbound

This paper cites Intelligent highway adaptive lane learning sys- tem in multiple rois of surveillance camera video.IEEE Transactions on Intelligent Transportation Systems, 25(8): 8591–8601.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Intelligent highway adaptive lane learning sys- tem in multiple rois of surveillance camera video.IEEE Transactions on Intelligent Transportation Systems, 25(8): 8591–8601

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:25:08.284918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 22af5ed5-5f32-41d9-aae2-480ee8245476 · outbound

This paper cites Mlperf inference benchmark.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Mlperf inference benchmark

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:25:08.208157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 79101e39-7669-43a2-8f30-7d6a6c7e5781 · outbound

This paper cites Trajectron++: Dynamically-feasible trajec- tory forecasting with heterogeneous data.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Trajectron++: Dynamically-feasible trajec- tory forecasting with heterogeneous data

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:25:08.302854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 01b1db9d-5e8d-4104-ad88-fcbe7aab3f07 · outbound

This paper cites Tra- jectory unified transformer for pedestrian trajectory predic- tion.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Tra- jectory unified transformer for pedestrian trajectory predic- tion

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:25:08.280279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation c5916071-e251-40a2-8f3d-ab6393046827 · outbound

This paper cites Motion Transformer with Global Intention Localization and Local Movement Refinement.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Motion Transformer with Global Intention Localization and Local Movement Refinement

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:18:32.386500Z

Source-reported events for the cited work

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Observation cc77d449-0a01-4381-a366-98dfe193d53b · outbound

This paper cites Edge ai: A sur- vey.Internet of Things and Cyber-Physical Systems, 3:71– 92.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Edge ai: A sur- vey.Internet of Things and Cyber-Physical Systems, 3:71– 92

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:25:08.289598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 5747a92a-ff90-4aa5-9758-b0310b3a8ba8 · outbound

This paper cites Traffic Surveillance Camera Calibration by 3D Model Bounding Box Alignment for Accurate Vehicle Speed Measurement.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Traffic Surveillance Camera Calibration by 3D Model Bounding Box Alignment for Accurate Vehicle Speed Measurement

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-07-04T21:58:59.367903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 8e130695-7b8d-4a80-83e3-75d26d22ad0f · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Scalability in perception for autonomous driving: Waymo open dataset

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:25:08.268900Z

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No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 7bf8afca-9d3d-4670-8ca5-9ad07218105d · outbound

This paper cites Benchmarking Deep Learning Models on NVIDIA Jetson Nano for Real-Time Systems: An Empirical Investigation.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Benchmarking Deep Learning Models on NVIDIA Jetson Nano for Real-Time Systems: An Empirical Investigation

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:18:32.393961Z

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Observation a5392b61-dd1d-4196-aaf2-71447f94f070 · outbound

This paper cites Hpnet: Dynamic trajectory fore- casting with historical prediction attention.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Hpnet: Dynamic trajectory fore- casting with historical prediction attention

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:25:08.173641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 01b88340-8cdb-4384-aa28-bab927f1a9df · outbound

This paper cites Cityflow: A city-scale benchmark for multi-target multi-camera vehicle tracking and re-identification.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Cityflow: A city-scale benchmark for multi-target multi-camera vehicle tracking and re-identification

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:25:08.196926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 2d617f59-80ce-4793-9a24-102d79b18818 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Attention is all you need.Advances in neural information processing systems, 30

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:25:08.182186Z

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Observation 78c2cb4c-8224-4aae-8cbc-c48c27551f78 · outbound

This paper cites Graph at- tention networks.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Graph at- tention networks

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:25:08.188515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 32ee0665-6341-4234-8e2b-c41cfef5b912 · outbound

This paper cites etram: Event-based traffic monitoring dataset.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications etram: Event-based traffic monitoring dataset

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:25:08.271489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 4c86f9e2-741c-4873-8b6a-c0b043543fcd · outbound

This paper cites Unsupervised anomaly detection for traffic surveil- lance based on background modeling.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Unsupervised anomaly detection for traffic surveil- lance based on background modeling

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:25:08.294005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation af5546cd-a517-4679-8c2f-c8cd5348f1fc · outbound

This paper cites Ua-detrac: A new benchmark and protocol for multi-object detection and tracking.Computer Vision and Image Understanding, 193:102907.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Ua-detrac: A new benchmark and protocol for multi-object detection and tracking.Computer Vision and Image Understanding, 193:102907

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:25:08.201122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 7ade51ca-8639-45e4-afea-3beee8dfdc19 · outbound

This paper cites Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-12T20:16:37.618269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 29e0d572-0218-4c2c-aeb1-522ebbebe310 · outbound

This paper cites Adapting to length shift: Flexilength network for trajectory prediction.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Adapting to length shift: Flexilength network for trajectory prediction

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:25:08.167926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 29940340-edde-4bf5-8d79-da515b271cd8 · outbound

This paper cites Agentformer: Agent-aware transformers for socio-temporal multi-agent forecasting.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Agentformer: Agent-aware transformers for socio-temporal multi-agent forecasting

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:25:08.184571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 3b105e53-a53c-460e-a22d-6724e2dd0931 · outbound

This paper cites Oostraj: Out-of-sight trajectory prediction with vision-positioning denoising.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Oostraj: Out-of-sight trajectory prediction with vision-positioning denoising

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:25:08.253634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 3f5e59ee-ef5e-44c7-971a-98e745f9f668 · outbound

This paper cites Real-time motion prediction via het- erogeneous polyline transformer with relative pose encod- ing.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Real-time motion prediction via het- erogeneous polyline transformer with relative pose encod- ing

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T12:25:08.242949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation b0e56f0f-7fd1-4e66-8763-b9935ee309dd · outbound

This paper cites TNT: Target-driveN Trajectory Prediction.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications TNT: Target-driveN Trajectory Prediction

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:18:32.371328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation f56ad379-d23b-48ed-b1ca-f38c9c998ee1 · outbound

This paper cites Hivt: Hierarchical vector transformer for multi-agent motion prediction.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Hivt: Hierarchical vector transformer for multi-agent motion prediction

Reference 81

Resolution: malformed identifier; raw_fallback, observed 2026-05-21T12:25:08.249621Z

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