Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD | Paper Citation Record

Observation e662b6de-3ec4-4403-a3d4-21b29fe6abf6 · outbound

This paper cites Intent-aware pedestrian prediction for adaptive crowd navigation,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Intent-aware pedestrian prediction for adaptive crowd navigation,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:14:07.714416Z

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Observation dd4b10d7-d3a6-460c-86ce-c9a5ce6f132a · outbound

This paper cites Intention aware robot crowd navigation with attention-based interaction graph,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Intention aware robot crowd navigation with attention-based interaction graph,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:14:07.614680Z

Source-reported events for the cited work

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Observation 191e9d63-e111-402c-bed5-7facfb51d0e1 · outbound

This paper cites Idd-x: A multi-view dataset for ego-relative important object local- ization and explanation in dense and unstructured traffic,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Idd-x: A multi-view dataset for ego-relative important object local- ization and explanation in dense and unstructured traffic,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:14:07.448483Z

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Observation 7ed59e20-1817-43d6-8cad-4ac783c1a5d7 · outbound

This paper cites Argoverse 2: Next generation datasets for self-driving perception and forecasting,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Argoverse 2: Next generation datasets for self-driving perception and forecasting,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:14:07.326879Z

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Observation 8b725e72-5279-41e2-aa31-db620d581d77 · outbound

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

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD nuscenes: A multimodal dataset for autonomous driving,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:14:07.161066Z

Source-reported events for the cited work

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Observation aa6f6de2-5eff-4152-99c0-1ba7c9c44897 · outbound

This paper cites Idd-3d: Indian driving dataset for 3d unstructured road scenes,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Idd-3d: Indian driving dataset for 3d unstructured road scenes,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:14:06.978512Z

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Observation ad0b02a3-324e-4b54-96ae-fb66eb5b1f35 · outbound

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

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Scalability in perception for autonomous driving: Waymo open dataset,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:14:06.822134Z

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Observation 9718b8f0-855c-4e9c-8386-0386a438bf65 · outbound

This paper cites Crowds by example,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Crowds by example,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:14:06.651490Z

Source-reported events for the cited work

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Observation 40fb4454-61da-4618-bbfc-8bd777e40622 · outbound

This paper cites You’ll never walk alone: Modeling social behavior for multi-target tracking,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD You’ll never walk alone: Modeling social behavior for multi-target tracking,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:14:06.472885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f4829bdb-07d3-4ca4-ae5f-60ce3568f06f · outbound

This paper cites Learning social etiquette: Human trajectory understanding in crowded scenes,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Learning social etiquette: Human trajectory understanding in crowded scenes,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:14:06.296671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c0caedc9-8c67-4d8b-af2d-4b3169d8213c · outbound

This paper cites Are they going to cross? a benchmark dataset and baseline for pedestrian crosswalk behavior,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Are they going to cross? a benchmark dataset and baseline for pedestrian crosswalk behavior,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:14:06.090535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c03c3690-c1b3-4639-b2ab-74acdc648dd3 · outbound

This paper cites Pie: A large-scale dataset and models for pedestrian intention estimation and trajectory prediction,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Pie: A large-scale dataset and models for pedestrian intention estimation and trajectory prediction,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:14:05.933765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 03932272-5917-4077-bdcd-ff5fba249413 · outbound

This paper cites TITAN: Future forecast using ac- tion priors,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD TITAN: Future forecast using ac- tion priors,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:14:05.749302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 34926c1e-6fde-4e8b-b04d-222546785b3c · outbound

This paper cites PSI: A Benchmark for Human Interpretation and Response in Traffic Interactions.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD PSI: A Benchmark for Human Interpretation and Response in Traffic Interactions

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T22:13:53.409348Z

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Observation c7e02c97-0652-42ce-9278-a547a38be8ed · outbound

This paper cites Euro-pvi: Pedestrian vehicle interactions in dense urban centers,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Euro-pvi: Pedestrian vehicle interactions in dense urban centers,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:14:05.542043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 48a57a04-ba7a-4a0c-bf12-40e22bae2ae7 · outbound

This paper cites Tbd pedestrian data collection: Towards rich, portable, and large- scale natural pedestrian data,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Tbd pedestrian data collection: Towards rich, portable, and large- scale natural pedestrian data,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:14:05.278012Z

Source-reported events for the cited work

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Observation 513739c4-1f02-4698-b286-99c288448dab · outbound

This paper cites Nightowls: A pedestrians at night dataset,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Nightowls: A pedestrians at night dataset,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:14:05.144031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e0abe4fb-a0f6-421d-a81c-264889a0b427 · outbound

This paper cites Jaywalkervr: A vr system for collecting safety-critical pedestrian-vehicle interactions,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Jaywalkervr: A vr system for collecting safety-critical pedestrian-vehicle interactions,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:14:04.949183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0bd5d736-fae9-4c95-8e5a-9ef957d06195 · outbound

This paper cites Pedestrian temporal gap acceptance behavior at unsignalized intersections in kanpur, india,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Pedestrian temporal gap acceptance behavior at unsignalized intersections in kanpur, india,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:14:04.749240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d762f9da-ce88-4deb-a928-3fff4d1d1b99 · outbound

This paper cites Spatiotemporal relationship reasoning for pedestrian intent prediction,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Spatiotemporal relationship reasoning for pedestrian intent prediction,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:14:04.462288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c8eba0ee-3c78-4ea0-9a6e-b91c5ed60a7c · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T22:13:53.958769Z

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Observation db1bae08-a8fb-440d-8821-aec96ecada32 · outbound

This paper cites Rnn-based pedestrian crossing prediction using activity and pose-related features,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Rnn-based pedestrian crossing prediction using activity and pose-related features,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:14:04.217317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d81f54e6-2063-4e18-947a-a90a1f9d5b05 · outbound

This paper cites Do they want to cross? understanding pedestrian intention for behavior prediction,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Do they want to cross? understanding pedestrian intention for behavior prediction,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:14:03.919346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 91d2439d-f0e0-47f6-9953-784d10c996dc · outbound

This paper cites Real-time intent prediction of pedestrians for autonomous ground vehicles via spatio-temporal densenet,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Real-time intent prediction of pedestrians for autonomous ground vehicles via spatio-temporal densenet,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:14:03.602537Z

Source-reported events for the cited work

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Observation 8189a565-97d2-473b-bb44-409ae9bbaa98 · outbound

This paper cites Spatio-temporal densenet for real-time intent prediction of pedestrians in urban traffic environ- ments,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Spatio-temporal densenet for real-time intent prediction of pedestrians in urban traffic environ- ments,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:14:03.344945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7885b44c-f031-4082-9488-99bc19c61250 · outbound

This paper cites Learning spatiotemporal features with 3d convolutional networks,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Learning spatiotemporal features with 3d convolutional networks,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T22:13:54.371408Z

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Observation 92846fd6-229b-4d8e-8c3c-4b288d6422ab · outbound

This paper cites Quo vadis, action recognition? a new model and the kinetics dataset,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Quo vadis, action recognition? a new model and the kinetics dataset,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T22:13:54.442478Z

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Observation e1161df9-53ea-46dc-9fa6-c3d471124788 · outbound

This paper cites Pedestrian-driver communication and decision strategies at marked crossings,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Pedestrian-driver communication and decision strategies at marked crossings,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T22:13:54.513481Z

Source-reported events for the cited work

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Observation 9135e68a-0841-4c77-84f4-bff187219ce6 · outbound

This paper cites Pedestrian graph: Pedestrian crossing prediction based on 2d pose estimation and graph convolutional networks,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Pedestrian graph: Pedestrian crossing prediction based on 2d pose estimation and graph convolutional networks,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:14:03.008940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ac09fc26-aed5-4894-87e0-8ae17d32428e · outbound

This paper cites Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T22:13:54.696585Z

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Observation b0005388-2d22-40b6-8c0a-3e44af0ef6dd · outbound

This paper cites Benchmark for evaluating pedestrian action prediction,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Benchmark for evaluating pedestrian action prediction,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:14:02.811591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8e254171-572f-49ac-946d-9963875c212f · outbound

This paper cites Predicting pedestrian crossing intention with feature fusion and spatio-temporal attention,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Predicting pedestrian crossing intention with feature fusion and spatio-temporal attention,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:14:02.623991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0520edd8-54d4-4dc0-9a21-2a835aadb3cd · outbound

This paper cites Multi-modal hybrid architecture for pedestrian action prediction,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Multi-modal hybrid architecture for pedestrian action prediction,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:14:02.371251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 111677df-392f-47d2-a95c-2ab74f4831db · outbound

This paper cites Action-vit: Pedestrian intent prediction in traffic scenes,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Action-vit: Pedestrian intent prediction in traffic scenes,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:14:02.127132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8018a0a4-f43c-410b-ade3-70c913751152 · outbound

This paper cites Is attention to bounding boxes all you need for pedestrian action predic- tion?,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Is attention to bounding boxes all you need for pedestrian action predic- tion?,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:14:01.820363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 87e82226-6831-43d5-9bcb-f58b41483fa9 · outbound

This paper cites Pit: Progressive interaction transformer for pedestrian crossing intention prediction,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Pit: Progressive interaction transformer for pedestrian crossing intention prediction,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T22:13:55.172052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c86a439-0eac-427c-a4db-ade3255aa1a2 · outbound

This paper cites Capformer: Pedestrian crossing action prediction using transformer,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Capformer: Pedestrian crossing action prediction using transformer,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:14:01.559354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 22d3e44a-fe43-4613-965d-e845d468bf76 · outbound

This paper cites Trep: Transformer-based evidential prediction for pedestrian intention with uncertainty,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Trep: Transformer-based evidential prediction for pedestrian intention with uncertainty,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:14:01.290157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d0a02a63-33ad-4401-bb30-55a933f98c20 · outbound

This paper cites Mdst-dgcn: A mul- tilevel dynamic spatiotemporal directed graph convolutional network for pedestrian trajectory prediction,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Mdst-dgcn: A mul- tilevel dynamic spatiotemporal directed graph convolutional network for pedestrian trajectory prediction,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:14:00.985481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b10aa1f2-a857-4e31-b4cc-b0ce8042f473 · outbound

This paper cites Pedestrian trajectory prediction using dynamics-based deep learning,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Pedestrian trajectory prediction using dynamics-based deep learning,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:14:00.672421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8bd4050e-128d-4c41-bc94-81179e288dba · outbound

This paper cites Pedestrian intention estimation and trajectory prediction based on data and knowledge- driven method,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Pedestrian intention estimation and trajectory prediction based on data and knowledge- driven method,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:14:00.414624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2f46bdeb-8ffd-4189-b306-e5db8eb35c98 · outbound

This paper cites Multimodal transformer networks for pedestrian trajectory prediction.,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Multimodal transformer networks for pedestrian trajectory prediction.,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:14:00.136331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7959b723-7385-40d2-b087-414647057516 · outbound

This paper cites Stochastic sampling simulation for pedestrian trajectory prediction,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Stochastic sampling simulation for pedestrian trajectory prediction,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:13:59.827872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 01af183d-c9f7-4848-9df0-fa9825d614e3 · outbound

This paper cites Bitrap: Bi-directional pedestrian trajectory prediction with multi- modal goal estimation,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Bitrap: Bi-directional pedestrian trajectory prediction with multi- modal goal estimation,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:13:59.597104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 10c48359-22ea-49e5-b335-8a0500c749c4 · outbound

This paper cites A novel benchmarking paradigm and a scale-and motion- aware model for egocentric pedestrian trajectory prediction,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD A novel benchmarking paradigm and a scale-and motion- aware model for egocentric pedestrian trajectory prediction,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:13:59.280489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation df0ce522-78d9-43d4-bc78-fb5613bad7c9 · outbound

This paper cites Stepwise goal-driven networks for trajectory prediction,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Stepwise goal-driven networks for trajectory prediction,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:13:59.010736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bd565990-42ba-4de5-bf6c-10e43709b765 · outbound

This paper cites Social-stgmlp: A social spatio- temporal graph multi-layer perceptron for pedestrian trajectory pre- diction,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Social-stgmlp: A social spatio- temporal graph multi-layer perceptron for pedestrian trajectory pre- diction,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:13:58.737831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fa9eaf5a-5f87-480c-a488-2ee5b43f8d31 · outbound

This paper cites Evaluating pedestrian trajectory prediction methods with respect to autonomous driving,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Evaluating pedestrian trajectory prediction methods with respect to autonomous driving,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:13:58.411002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2a0831ed-8fdd-479a-9991-92f9daf38341 · outbound

This paper cites Holistic spatio-temporal graph attention for trajectory prediction in vehicle–pedestrian interactions,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Holistic spatio-temporal graph attention for trajectory prediction in vehicle–pedestrian interactions,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:13:58.104296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2d3c13a3-f1f5-43a3-8446-6652848024c3 · outbound

This paper cites PePScenes: A Novel Dataset and Baseline for Pedestrian Action Prediction in 3D.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD PePScenes: A Novel Dataset and Baseline for Pedestrian Action Prediction in 3D

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:13:57.041897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 139b76ee-a1d1-4b84-a8fa-d7e18a059390 · outbound

This paper cites Openmmlab pose estimation toolbox and bench- mark.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Openmmlab pose estimation toolbox and bench- mark

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:13:57.857537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation aa5d9467-3894-443c-9c87-9e278f0efa55 · outbound

This paper cites Analysis of pedestrian illegal crossing at unmarked segments: environmental factors, pedestrian characteristics and crossing behaviours,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Analysis of pedestrian illegal crossing at unmarked segments: environmental factors, pedestrian characteristics and crossing behaviours,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:13:57.590056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c39a411f-e2ce-4e7d-8cb4-221e5b027a71 · outbound

This paper cites Coupling Intent and Action for Pedestrian Crossing Behavior Prediction.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Coupling Intent and Action for Pedestrian Crossing Behavior Prediction

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T22:13:56.558743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61bba3b4-4ae2-46a9-a4b9-cb294ee897e7 · outbound

This paper cites Adaptive pedestrian agent model- ing for scenario-based testing of autonomous vehicles through behav- ior retargeting,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Adaptive pedestrian agent model- ing for scenario-based testing of autonomous vehicles through behav- ior retargeting,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:13:57.472797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ec649412-4e19-4d2f-a766-c766887efa25 · outbound

This paper cites Convolutional lstm network: A machine learning approach for precipitation nowcasting,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Convolutional lstm network: A machine learning approach for precipitation nowcasting,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T22:13:56.701799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6214a95d-11f0-4272-a34f-f9320f7b6ef6 · outbound

This paper cites RAFT: Recurrent all-pairs field transforms for optical flow,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD RAFT: Recurrent all-pairs field transforms for optical flow,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:13:57.343054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8c1ca874-2a26-4717-9cd9-02f332f50b8d · outbound

This paper cites Social gan: Socially acceptable trajectories with generative adversarial net- works,.

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD Social gan: Socially acceptable trajectories with generative adversarial net- works,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:13:57.217630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers