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Paper Citation Record · LEDGER

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey

As of 23 August 2026, this Paper Citation Record lists 100 of 174 outbound references and 0 inbound Pith citation observations for arXiv:2509.10570.

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

pith.paper-citation-record.v1
2509.10570 v1

Coverage vector

measured 100 of 174 reference resolution

Typed states for the displayed outbound observations.

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measured 100 of 100 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

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100 of 174 outbound references displayed

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Outbound references

Observation a772784b-dc41-4012-861d-8d543458a045 · outbound

This paper cites Multiple futures prediction,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Multiple futures prediction,

Reference 1

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Observation 170ae613-7c2b-48b1-b3d3-50886cde1614 · outbound

This paper cites Online vehicle trajectory prediction using policy anticipation network and optimization-based context reasoning,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Online vehicle trajectory prediction using policy anticipation network and optimization-based context reasoning,

Reference 2

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Observation c26cc921-92af-442b-8e30-a500428a257c · outbound

This paper cites Trajectory prediction for autonomous driving based on multi-head attention with joint agent-map representation,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Trajectory prediction for autonomous driving based on multi-head attention with joint agent-map representation,

Reference 3

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Observation 2509d8b8-6046-46a0-8c59-216297d994d7 · outbound

This paper cites Trajectory prediction with linguistic representations,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Trajectory prediction with linguistic representations,

Reference 4

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Observation d4045416-143e-4819-8bde-bd38a87560e1 · outbound

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

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Grip: Graph-based interaction-aware trajectory prediction,

Reference 5

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Observation e8e944e5-a167-47f4-9179-5598afb014d0 · outbound

This paper cites Vehicle trajectory prediction using intention-based conditional variational autoencoder,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Vehicle trajectory prediction using intention-based conditional variational autoencoder,

Reference 6

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Observation 12ca21a2-fbf2-41c0-b4ba-9ecfa375ffc6 · outbound

This paper cites Explainability of deep vision-based autonomous driving systems: Review and chal- lenges,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Explainability of deep vision-based autonomous driving systems: Review and chal- lenges,

Reference 7

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Observation 206dd231-8805-425d-a25f-7bbfaf3a1fce · outbound

This paper cites Uqnet: Quantifying uncer- tainty in trajectory prediction by a non-parametric and generalizable approach,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Uqnet: Quantifying uncer- tainty in trajectory prediction by a non-parametric and generalizable approach,

Reference 8

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Observation 72ddf36d-3a5d-4b86-b8ae-b173f29fc3d1 · outbound

This paper cites LLM4Drive: A Survey of Large Language Models for Autonomous Driving,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey LLM4Drive: A Survey of Large Language Models for Autonomous Driving,

Reference 9

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Observation 70918382-7c05-4ad3-8a8b-666f06bde598 · outbound

This paper cites Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models,

Reference 10

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Observation d89158a4-090d-46e0-9c6e-06d01e653927 · outbound

This paper cites A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks,

Reference 11

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Observation 0f692e00-997b-4407-8f24-673c85af2ba7 · outbound

This paper cites Chain- of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Chain- of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects,

Reference 12

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Observation 12b8d995-87ec-4537-8ed1-fd04bca5e1e1 · outbound

This paper cites Foundation models for autonomous driving perception: A survey through core capabilities,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Foundation models for autonomous driving perception: A survey through core capabilities,

Reference 13

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Observation 1a617a27-12af-442c-8afd-6244e9e43a32 · outbound

This paper cites A survey on trajectory-prediction methods for autonomous driving,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey A survey on trajectory-prediction methods for autonomous driving,

Reference 14

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Observation c15fe76e-2ffd-43ee-bfa7-c8e633995e09 · outbound

This paper cites Incorporating driving knowledge in deep learn- ing based vehicle trajectory prediction: A survey,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Incorporating driving knowledge in deep learn- ing based vehicle trajectory prediction: A survey,

Reference 15

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Observation 4eb01c8d-a622-491c-ae9e-3814890f5ba1 · outbound

This paper cites Pedestrian trajectory prediction in pedestrian-vehicle mixed envi- ronments: A systematic review,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Pedestrian trajectory prediction in pedestrian-vehicle mixed envi- ronments: A systematic review,

Reference 16

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Observation 0122b976-b443-4908-b450-3a33cca92344 · outbound

This paper cites Real time trajectory prediction for collision risk estimation between vehicles,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Real time trajectory prediction for collision risk estimation between vehicles,

Reference 17

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Observation 3c59b832-5708-48b9-bead-309c1725ab6e · outbound

This paper cites Cooperative path prediction in vehicular environments,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Cooperative path prediction in vehicular environments,

Reference 18

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Observation 3ca04ea9-f4bc-4580-b06b-6c4529c3d6eb · outbound

This paper cites Situation assessment of an autonomous emergency brake for arbitrary vehicle-to-vehicle collision scenarios,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Situation assessment of an autonomous emergency brake for arbitrary vehicle-to-vehicle collision scenarios,

Reference 19

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Observation fed18f88-442a-4f9b-8e02-8839f8e5352f · outbound

This paper cites Interaction-aware motion prediction for autonomous driving: A mul- tiple model kalman filtering scheme,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Interaction-aware motion prediction for autonomous driving: A mul- tiple model kalman filtering scheme,

Reference 20

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Observation 06f53a8c-dd7e-4eee-911b-fdbe63c43328 · outbound

This paper cites Trajectory planning and safety assessment of autonomous vehicles based on motion prediction and model predictive control,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Trajectory planning and safety assessment of autonomous vehicles based on motion prediction and model predictive control,

Reference 21

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Observation 3f4c4e05-6688-4e40-b2ce-0eb61bb00817 · outbound

This paper cites How would surround vehicles move? a unified framework for maneuver classification and motion prediction,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey How would surround vehicles move? a unified framework for maneuver classification and motion prediction,

Reference 22

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Observation db241939-3098-4806-8f5f-b22e4057f2a6 · outbound

This paper cites Online maneuver recognition and multimodal trajectory prediction for intersection assistance using non-parametric regression,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Online maneuver recognition and multimodal trajectory prediction for intersection assistance using non-parametric regression,

Reference 23

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Observation 8e2486d0-d946-433e-9c07-322db32bca82 · outbound

This paper cites Improved driving behaviors prediction based on fuzzy logic-hidden markov model (fl-hmm),.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Improved driving behaviors prediction based on fuzzy logic-hidden markov model (fl-hmm),

Reference 24

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Observation eb4b7623-18cb-465a-980d-228944493b5e · outbound

This paper cites A self-adaptive parameter selection trajectory prediction approach via hidden markov models,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey A self-adaptive parameter selection trajectory prediction approach via hidden markov models,

Reference 25

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Observation d179bc53-51ef-4c3c-8b28-a8694a9a4426 · outbound

This paper cites Probabilistic intention prediction and trajectory generation based on dynamic bayesian net- works,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Probabilistic intention prediction and trajectory generation based on dynamic bayesian net- works,

Reference 26

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Observation 066292fb-3877-43fa-a320-c8d65be17ae6 · outbound

This paper cites Convolutional social pooling for vehicle trajectory prediction,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Convolutional social pooling for vehicle trajectory prediction,

Reference 27

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Observation 8b0d32b9-bf4f-46c7-a9f1-68dfcfa2c54d · outbound

This paper cites Multi-head atten- tion based probabilistic vehicle trajectory prediction,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Multi-head atten- tion based probabilistic vehicle trajectory prediction,

Reference 28

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Observation 5023be4d-2ece-4e7b-af35-db9a7d080a79 · outbound

This paper cites Vectornet: Encoding hd maps and agent dynamics from vectorized representation,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Vectornet: Encoding hd maps and agent dynamics from vectorized representation,

Reference 29

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Observation cedd9185-ce25-47d8-af9b-6ea806fb9345 · outbound

This paper cites Deep inverse reinforcement learning for behavior prediction in autonomous driving: Accurate forecasts of vehicle motion,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Deep inverse reinforcement learning for behavior prediction in autonomous driving: Accurate forecasts of vehicle motion,

Reference 30

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Observation 6a040cb5-0a95-4321-858c-ba68cbd79270 · outbound

This paper cites Imitating driver behavior with generative adversarial networks,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Imitating driver behavior with generative adversarial networks,

Reference 31

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Observation 95956f12-4d1f-464e-a2b7-b46706ebc560 · outbound

This paper cites Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback

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Observation 06d551b1-d5ad-4cde-a40a-8d89558336e4 · outbound

This paper cites Learning from naturalistic driving data for human-like autonomous highway driving,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Learning from naturalistic driving data for human-like autonomous highway driving,

Reference 33

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Observation 8c2c04ab-1bb8-4e96-8765-3acd7e610849 · outbound

This paper cites Off-road autonomous vehicles traversability analysis and trajectory planning based on deep inverse reinforcement learning,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Off-road autonomous vehicles traversability analysis and trajectory planning based on deep inverse reinforcement learning,

Reference 34

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Observation f4466dfa-c8cc-44e8-a4c1-5e9ef0b4a726 · outbound

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Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Social force models for pedestrian traffic–state of the art,

Reference 35

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Observation 13ece64d-e579-4fb1-8479-df1fd1d23287 · outbound

This paper cites Social force based microscopic modeling of vehicle-crowd interaction,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Social force based microscopic modeling of vehicle-crowd interaction,

Reference 36

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Observation 8aabaac9-ad8f-4373-9b0d-01304af32959 · outbound

This paper cites Pedestrian collision risk assessment based on state estimation and motion prediction,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Pedestrian collision risk assessment based on state estimation and motion prediction,

Reference 37

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Observation 1531a8f0-de65-45c2-9d8c-8e19067eb5b1 · outbound

This paper cites A study of interference between pedestrians and vehicles in drop-off area at railway station based on celluar automata,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey A study of interference between pedestrians and vehicles in drop-off area at railway station based on celluar automata,

Reference 38

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Observation 573f8491-5223-4638-a9ba-d3da6e684d2b · outbound

This paper cites Top-view trajectories: A pedestrian dataset of vehicle-crowd interaction from controlled experiments and crowded campus,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Top-view trajectories: A pedestrian dataset of vehicle-crowd interaction from controlled experiments and crowded campus,

Reference 39

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Observation 8e6c1036-178c-437d-bc61-2477a973700f · outbound

This paper cites Agent- based modeling for predicting pedestrian trajectories around an au- tonomous vehicle,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Agent- based modeling for predicting pedestrian trajectories around an au- tonomous vehicle,

Reference 40

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Observation 46690a7a-6e51-4b0d-8d90-4f76c16bb49b · outbound

This paper cites Multi-agent trajectory prediction with spatio- temporal sequence fusion,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Multi-agent trajectory prediction with spatio- temporal sequence fusion,

Reference 41

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Observation 7967a6c3-d19d-4c8c-ac6e-0e0c5249f9cb · outbound

This paper cites Ltn: Long-term network for long-term motion prediction,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Ltn: Long-term network for long-term motion prediction,

Reference 42

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Observation feb7ca83-1cb3-4a05-b029-2d78961d012a · outbound

This paper cites Dynamic attention- based cvae-gan for pedestrian trajectory prediction,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Dynamic attention- based cvae-gan for pedestrian trajectory prediction,

Reference 43

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Observation 3ba8d026-c18c-4f46-8f3e-cd8f311af489 · outbound

This paper cites Interactive behavior prediction for heterogeneous traffic participants in the urban road: A graph-neural- network-based multitask learning framework,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Interactive behavior prediction for heterogeneous traffic participants in the urban road: A graph-neural- network-based multitask learning framework,

Reference 44

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Observation bb5bc986-bdd0-41f2-a36a-1f243d9a555f · outbound

This paper cites A hierarchical framework for interactive behaviour prediction of heterogeneous traffic participants based on graph neural network,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey A hierarchical framework for interactive behaviour prediction of heterogeneous traffic participants based on graph neural network,

Reference 45

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Observation bb6b36f7-1a3d-47da-9dd2-7962ab165501 · outbound

This paper cites Trajectory forecasting based on prior-aware directed graph convolutional neural network,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Trajectory forecasting based on prior-aware directed graph convolutional neural network,

Reference 46

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Observation fd467b84-a77f-41cb-a9b2-0b165d7decd1 · outbound

This paper cites Loki: Long term and key intentions for trajectory prediction,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Loki: Long term and key intentions for trajectory prediction,

Reference 47

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Observation 2275a524-fb7d-4512-8df5-8e7d49e55cea · outbound

This paper cites Trajectory modelling in shared spaces: Expert-based vs. deep learning approach?.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Trajectory modelling in shared spaces: Expert-based vs. deep learning approach?

Reference 48

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Observation 4fe7760f-bf37-4291-a06d-1ae1951af12f · outbound

This paper cites Social gan: Socially acceptable trajectories with generative adversarial networks,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Social gan: Socially acceptable trajectories with generative adversarial networks,

Reference 49

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Observation 95dec3e4-5447-4307-ab88-d140a90443cc · outbound

This paper cites An agent-based model for trajectory modelling in shared spaces: A combination of expert-based and deep learning approaches,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey An agent-based model for trajectory modelling in shared spaces: A combination of expert-based and deep learning approaches,

Reference 50

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source=pdf_text observed=2026-08-04T19:19:23.732136Z digest=sha256:754448f4b99dfe32daf8dd9d51bb2af12ed3989ea67b3a0bfd114346101458fd

Observation b72cdc36-5ff9-4728-a1e7-f0133299f9be · outbound

This paper cites Spatio-temporal graph dual-attention network for multi-agent prediction and tracking,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Spatio-temporal graph dual-attention network for multi-agent prediction and tracking,

Reference 51

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Observation 04da9795-e09e-4469-ae65-1c6c0c482c85 · outbound

This paper cites VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision

Reference 52

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Observation cd572da2-06b2-4163-8662-999fca2ae1fc · outbound

This paper cites DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models

Reference 53

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Observation 04a2378d-2249-43ec-9451-9da66343bd82 · outbound

This paper cites Driving with llms: Fusing object- level vector modality for explainable autonomous driving,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Driving with llms: Fusing object- level vector modality for explainable autonomous driving,

Reference 54

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Observation ba0afcf3-913f-4fe7-8805-d3c437eeca3f · outbound

This paper cites Rag-driver: Generalisable driving explanations with retrieval-augmented in-context multi-modal large language model learning,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Rag-driver: Generalisable driving explanations with retrieval-augmented in-context multi-modal large language model learning,

Reference 55

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Observation 6e4a8bd9-b147-44cb-ab36-2ed1bc660c21 · outbound

This paper cites A survey of autonomous driving: Common practices and emerging technologies,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey A survey of autonomous driving: Common practices and emerging technologies,

Reference 56

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Observation 4b8af02e-7a91-44a1-b55c-ebd0bba3627c · outbound

This paper cites Drivelm: Driving with graph visual question answering,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Drivelm: Driving with graph visual question answering,

Reference 57

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Observation 86ea60b5-5aa5-4cf4-b823-89531610da4f · outbound

This paper cites A language-driven navigation strategy integrating semantic maps and large language models,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey A language-driven navigation strategy integrating semantic maps and large language models,

Reference 58

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Observation f43b59b6-1c8e-4fef-ab56-beb811db3216 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Learning transferable visual models from natural language supervision,

Reference 59

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Observation 82c8c0ac-2ffd-469d-a535-d57a7e833825 · outbound

This paper cites Improved baselines with visual instruction tuning,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Improved baselines with visual instruction tuning,

Reference 60

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Observation 2db0c063-0ecb-42f0-99b7-ee5a4a2f11cb · outbound

This paper cites Drivegpt4: Interpretable end-to-end autonomous driving via large language model,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Drivegpt4: Interpretable end-to-end autonomous driving via large language model,

Reference 61

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Observation 03a33833-2601-451c-8fb5-5b27b36c00f9 · outbound

This paper cites Hilm-d: Enhancing mllms with multi-scale high-resolution details for autonomous driving,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Hilm-d: Enhancing mllms with multi-scale high-resolution details for autonomous driving,

Reference 62

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source=pdf_text observed=2026-08-04T19:19:24.517496Z digest=sha256:b6da5994126613dc6d93447ddee6284badfab41f498d0639c248014ceed8da89

Observation 1641234a-429b-47e0-9885-fc14cae80e26 · outbound

This paper cites Talk2bev: Language-enhanced bird’s-eye view maps for autonomous driving,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Talk2bev: Language-enhanced bird’s-eye view maps for autonomous driving,

Reference 63

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Observation 9fdddfd6-4ace-4f4d-9d43-1eb7af353c64 · outbound

This paper cites Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding

Reference 64

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Observation 766d5f52-881a-452b-9741-9e346b440c08 · outbound

This paper cites Dynstatf: An efficient feature fusion strategy for lidar 3d object detection,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Dynstatf: An efficient feature fusion strategy for lidar 3d object detection,

Reference 65

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Observation dc2ea3f0-39b8-4b32-9592-0903a535effa · outbound

This paper cites V2x-vit: Vehicle-to-everything cooperative perception with vision transformer,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey V2x-vit: Vehicle-to-everything cooperative perception with vision transformer,

Reference 66

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Observation 20bdd51e-e836-4afb-8952-dc7551d28cc3 · outbound

This paper cites V2v-llm: Vehicle-to-vehicle cooperative autonomous driving with multi-modal large language models,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey V2v-llm: Vehicle-to-vehicle cooperative autonomous driving with multi-modal large language models,

Reference 67

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source=pdf_text observed=2026-08-04T19:19:25.045778Z digest=sha256:59c04d2f7dddd926ad82824d49e377a6d8792fc5de01f7b272b953db2e749a9d

Observation c3ea178b-10e2-4662-b1bc-a6b833055b1d · outbound

This paper cites Lmdrive: Closed-loop end-to-end driving with large language models,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Lmdrive: Closed-loop end-to-end driving with large language models,

Reference 68

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Observation 4b4b2ab3-dfdd-4ebb-989c-3e2cd01e124c · outbound

This paper cites GAIA-1: A Generative World Model for Autonomous Driving.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey GAIA-1: A Generative World Model for Autonomous Driving

Reference 69

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Observation f7506fe1-3bfd-4c79-b370-69f5c84bc0b9 · outbound

This paper cites Visiontrap: Vision-augmented trajectory prediction guided by textual descriptions,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Visiontrap: Vision-augmented trajectory prediction guided by textual descriptions,

Reference 70

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source=pdf_text observed=2026-08-04T19:19:25.370700Z digest=sha256:caa1c615994daa5318d9c3b2a70c6b98392fa19382645374a840fbadfb7cb476

Observation 6e3e3932-afac-4fdd-9a2a-b022022a0245 · outbound

This paper cites Drivedreamer-2: Llm-enhanced world models for diverse driving video generation,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Drivedreamer-2: Llm-enhanced world models for diverse driving video generation,

Reference 71

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Observation c2b871f5-27d6-42ab-a438-a1dd7de949b1 · outbound

This paper cites Drivemlm: Aligning multi-modal large language models with behavioral planning states for autonomous driving,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Drivemlm: Aligning multi-modal large language models with behavioral planning states for autonomous driving,

Reference 72

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Observation 37274dec-eb76-4108-83ab-36b64c45e553 · outbound

This paper cites Multimodal trajectory prediction for intelligent connected vehicles in complex road scenar- ios based on causal reasoning and driving cognition characteristics,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Multimodal trajectory prediction for intelligent connected vehicles in complex road scenar- ios based on causal reasoning and driving cognition characteristics,

Reference 73

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Observation ee686a30-2250-4192-a768-d53444803c59 · outbound

This paper cites DualDiff+: Dual-Branch Diffusion for High-Fidelity Video Generation with Reward Guidance.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey DualDiff+: Dual-Branch Diffusion for High-Fidelity Video Generation with Reward Guidance

Reference 74

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source=pdf_text observed=2026-08-04T19:19:25.457418Z digest=sha256:e440e5deadb01a1a2e584d437640f48af383af95541a372e2da5f49d879d2556

Observation 0d0300dc-9c2c-4fa0-b5cd-7b03e0b2607e · outbound

This paper cites Lingo-1: Exploring natural language for autonomous driving,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Lingo-1: Exploring natural language for autonomous driving,

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Observation c9da4837-9a1d-4384-ba47-180fe56e69ee · outbound

This paper cites Can you text what is happening? Integrating pre-trained language encoders into trajectory prediction models for autonomous driving.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Can you text what is happening? Integrating pre-trained language encoders into trajectory prediction models for autonomous driving

Reference 76

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Observation d64bf589-c99d-4a82-9406-b9f0cd2d68db · outbound

This paper cites How Can Large Language Models Understand Spatial-Temporal Data?.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey How Can Large Language Models Understand Spatial-Temporal Data?

Reference 77

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Observation e67b77cb-ad6f-435a-be9f-571acabf8fba · outbound

This paper cites S4-driver: Scalable self-supervised driving multimodal large language model with spatio-temporal visual representation,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey S4-driver: Scalable self-supervised driving multimodal large language model with spatio-temporal visual representation,

Reference 78

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source=pdf_text observed=2026-08-04T19:19:25.512837Z digest=sha256:0612c560200bcb23b0aa5f8717a52ba0212a8d3ac5bd107ad62bc167226517b9

Observation ae56f4b1-5591-4c46-84c6-2ad473bfba37 · outbound

This paper cites imotion-llm: Motion prediction instruction tuning,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey imotion-llm: Motion prediction instruction tuning,

Reference 79

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source=pdf_text observed=2026-08-04T19:19:25.518415Z digest=sha256:f6036d4ecd1a2844f937a4be0f15a7c2c62d96bcf4ba44ed9f8045a47c1c46a6

Observation ce9ec9fb-44e4-4181-a7b4-3592086aaceb · outbound

This paper cites Lc-llm: Explainable lane-change intention and trajectory predictions with large language models,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Lc-llm: Explainable lane-change intention and trajectory predictions with large language models,

Reference 80

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source=pdf_text observed=2026-08-04T19:19:25.523696Z digest=sha256:75087eb7015a4119b8a35bf6ed46c7bd76b04aebcd0e55dac44d83b44bb6d325

Observation a7dcfe8b-30ac-4638-b65d-295aa356dc2d · outbound

This paper cites Cot-drive: Efficient motion forecasting for autonomous driving with llms and chain-of-thought prompting,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Cot-drive: Efficient motion forecasting for autonomous driving with llms and chain-of-thought prompting,

Reference 81

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source=pdf_text observed=2026-08-04T19:19:25.529795Z digest=sha256:e7fe4775f13a59cb856b48bd5c9ce54b1a4f8bff5c9bc08984e30236dff25a50

Observation db5a3231-144e-42f8-a630-3917cbdbc2b9 · outbound

This paper cites Open- emma: Open-source multimodal model for end-to-end autonomous driving,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Open- emma: Open-source multimodal model for end-to-end autonomous driving,

Reference 82

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Observation 321deb94-b03f-472c-a159-b0ad912b8852 · outbound

This paper cites Distilling Multi- modal Large Language Models for Autonomous Driving,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Distilling Multi- modal Large Language Models for Autonomous Driving,

Reference 83

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source=pdf_text observed=2026-08-04T19:19:25.541395Z digest=sha256:cc3a36b713714743432cdc17354ab2b6b569f1070cee0a31e8347e8da9809407

Observation 776b0b9c-604d-4b9b-be3d-b1b7d16bcba1 · outbound

This paper cites Genfollower: Enhancing car-following prediction with large language models,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Genfollower: Enhancing car-following prediction with large language models,

Reference 84

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source=pdf_text observed=2026-08-04T19:19:25.547686Z digest=sha256:9d96f9ed61e8ca418e922eb403000a6090f34f9aac087cfccfad7842b00682d2

Observation 5291408a-6e89-4dd0-be01-5156cb16fce2 · outbound

This paper cites DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers

Reference 85

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source=pdf_text observed=2026-08-04T19:19:25.554545Z digest=sha256:fa66081364699d40eee0a6edd229a7ff7246d026f55ec08de632b813df9eb7b0

Observation c2a63c99-bed8-4c44-999c-22299280c78c · outbound

This paper cites Motionlm: Multi-agent motion forecasting as language modeling,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Motionlm: Multi-agent motion forecasting as language modeling,

Reference 86

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source=pdf_text observed=2026-08-04T19:19:25.564199Z digest=sha256:52bf8f7dd99944e09453e9f959429c60e8c1a73ccd21c44ac9e5855aff032158

Observation 43515634-ea26-4a54-85fb-392994f7d1f0 · outbound

This paper cites DSDrive: Distilling Large Language Model for Lightweight End-to-End Autonomous Driving with Unified Reasoning and Planning.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey DSDrive: Distilling Large Language Model for Lightweight End-to-End Autonomous Driving with Unified Reasoning and Planning

Reference 87

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Observation 2ddf4100-317d-4906-8c86-395f3bd4d1be · outbound

This paper cites Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving

Reference 88

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source=pdf_text observed=2026-08-04T19:19:25.582674Z digest=sha256:a2b2ec1ec404ce6353d9268fc4d1ba1c214f28a99e8e7a3d89f9b366ccee6e01

Observation a0a487c0-4ee7-4bde-9307-3a9ac4343ce0 · outbound

This paper cites Waymo safety report: On the road to safer mobility,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Waymo safety report: On the road to safer mobility,

Reference 89

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Observation 13213180-abae-4403-8774-790bf8d56671 · outbound

This paper cites Building a Credible Case for Safety: Waymo's Approach for the Determination of Absence of Unreasonable Risk.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Building a Credible Case for Safety: Waymo's Approach for the Determination of Absence of Unreasonable Risk

Reference 90

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source=pdf_text observed=2026-08-04T19:19:25.604561Z digest=sha256:62d4b9d90400a39eb002f5fc78c7c01d28f8dcc4c161063b837b24e58bd10718

Observation 2d7abfd1-9b6e-4634-be4a-db6e4ef4c224 · outbound

This paper cites (2025) Tesla vehicle safety report.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey (2025) Tesla vehicle safety report

Reference 91

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Observation 8f92856d-0f2d-4722-853a-84935c715c62 · outbound

This paper cites Generative AI for Autonomous Driving: A Review.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Generative AI for Autonomous Driving: A Review

Reference 92

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Observation 54f8d58c-0bed-48d9-ad1f-00ebe5a06ae2 · outbound

This paper cites End-to-end autonomous driving: Challenges and frontiers,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey End-to-end autonomous driving: Challenges and frontiers,

Reference 93

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source=pdf_text observed=2026-08-04T19:19:25.634566Z digest=sha256:97cca8f94304fb7cbb1374d03d6b2859d5a20bcd7ba482bc9bef888e17d28956

Observation 4698272b-45c8-45e3-8795-83f6bf545e36 · outbound

This paper cites Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving

Reference 94

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Observation 1042419c-6988-4f5c-8ae0-94755ecb67f9 · outbound

This paper cites 2024 tesla impact report,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey 2024 tesla impact report,

Reference 95

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Observation 716ee0bc-fe1e-4768-a57f-470c1c50795e · outbound

This paper cites Chuck cook tests tesla FSD v12.4.1 at his difficult unprotected left turn,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Chuck cook tests tesla FSD v12.4.1 at his difficult unprotected left turn,

Reference 96

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Observation 1a76e60c-a33d-4aea-be75-0bcac9ee308c · outbound

This paper cites Li auto halo os technical overview,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Li auto halo os technical overview,

Reference 97

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Observation f8c9ed56-74bd-4e78-a2b2-6e6c056b75d3 · outbound

This paper cites (2024) Xiaomi pilot: Intelligent driving system.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey (2024) Xiaomi pilot: Intelligent driving system

Reference 98

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source=pdf_text observed=2026-08-04T19:19:25.678055Z digest=sha256:05495a50adddbb5f35ebd46ca31eaac9bb5b97636ed533c704c161e6428561ea

Observation 55009ab7-d633-49db-b223-a07d68fd6beb · outbound

This paper cites Eyeq™6 system-on-chip technical overview,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Eyeq™6 system-on-chip technical overview,

Reference 99

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Observation 1a5a7d4c-e570-4c32-bb6d-e9d77a5c3dc7 · outbound

This paper cites Trajectory-guided control prediction for end-to-end autonomous driving: A simple yet strong baseline,.

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey Trajectory-guided control prediction for end-to-end autonomous driving: A simple yet strong baseline,

Reference 100

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