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Awesome-Traffic-Agent-Trajectory-Prediction

This is a list of papers related to traffic agent trajectory prediction.
https://github.com/Psychic-DL/Awesome-Traffic-Agent-Trajectory-Prediction

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[paper - lab/CIDNN)]
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[paper - LSTM)]
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[paper - lstm)]
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[paper - social-pooling)]
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[paper
[paper - programmatic-supervision)]
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[paper - xx/TrafficPredict)]
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[paper - architecture-details)]
[paper - prediction)] [[website](https://next.cs.cmu.edu/)]
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[paper - LSTM)]
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[paper - freiburg/Multimodal-Future-Prediction)]
[paper - api)]
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[paper - xx/STGAT)]
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[paper - multiple-futures-prediction)]
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[paper - Roy-2/publication/337629029_Vehicle_Trajectory_Prediction_at_Intersections_using_Interaction_based_Generative_Adversarial_Networks/links/5de5e6224585159aa45cc76c/Vehicle-Trajectory-Prediction-at-Intersections-using-Interaction-based-Generative-Adversarial-Networks.pdf)]
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[paper - epfl/AdversarialLoss-SGAN)]
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[paper - lstm/)]
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[paper - SONG/PiP-Planning-informed-Prediction)]
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[paper - plus-plus)]
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[paper - DATF)]
[paper - Path-Prediction)]
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[paper - research/LaneGCN)]
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[paper - Transformer)]
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[paper - Trajectory-Predition)]
[paper - amr/social_vrnn)]
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[paper - STGCNN)]
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[paper - models)]
[paper - and-DPP)]
[paper - GAN)]
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[paper - trajectory-prediction), [code](https://github.com/tdavchev/Stochastic-Futures-Prediction)]
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[paper - pred-irl)]
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[paper - LibCity)]
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[paper - Transformer-PedTraj)]
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[paper - yuan.com/agentformer/)]
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[paper - GAN)]
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[paper
[paper - Aware-Motion-Prediction)]
[paper - ri.com/loki)]
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[paper - Neighborhood-Interaction-for-Heterogeneous-Trajectory-Prediction)]
[paper - epfl/social-nce)]
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[paper - inf.mpg.de/departments/computer-vision-and-machine-learning/research/euro-pvi-dataset)]
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[paper - STL-Lab/ECCO)]
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[paper - Trajectory-Prediction-for-Pedestrian-Video-Anomaly-Detection)]
[paper - adv-workshop.github.io/short_paper/s-attack-arow2021.pdf)] [[code](https://s-attack.github.io/)]
[paper - epfl/RRB)]
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[paper - epfl/trajnetplusplusbaselines)]
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[paper - research/VTP)]
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[paper - Stage-Gan-in-trajectory-generation)]
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[paper - trajectory-prediction)]
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[paper - SJTU/MemoNet)]
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[paper - attack.github.io/)]
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[paper - epfl/causalmotion), [code](https://github.com/sherwinbahmani/ynet_adaptive)]
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[paper - cs/TDOR)]
[paper - mars-lab.github.io/M2I/)]
[paper - SJTU/GroupNet)]
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[paper - MR)]
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[paper - attention)]
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[paper - traj-gen)]
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[paper - TF)]
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[paper - prediction)]
[paper - ju/crat-pred)]
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[paper - ML/HAICU)] [[trajdata](https://github.com/nvr-avg/trajdata)]
[paper - Aerial-Robotics/DSP)]
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[paper - Implicit)] [[website](https://www.abduallahmohamed.com/social-implicit-amdamv-adefde-demo)]
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[paper - TL/D2-TPred)]
[paper - Trajectory-Prediction-via-Neural-Social-Physics)]
[paper - SSL)]
[paper - of-the-history)]
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[paper - P3)]
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[paper - inf.mpg.de/motion-transformer-with-global-intention-localization-and-local-movement-refinement/)]
[paper - sun/IMMA)]
[paper - interactive-predict-plan)]
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[paper - planning.github.io/)]
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[paper - Zhang/AI-TP)]
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[paper - SAR)]
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[paper - motion-prediction-challenge-2022-multipath-plus-plus)]
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[paper - SJTU/Collaborative-Uncertainty)]
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[paper - ai.github.io/ftgn/)]
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[paper - master)]
[paper - TrajGen)]
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[paper - tlabs.github.io/trace-pace/)]
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[paper - SJTU/LED)]
[paper - mars-lab.github.io/ViP3D/)]
[paper - SJTU/EqMotion)]
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[paper - cloud/SSL-Lanes)]
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[paper - ai.github.io/adapt/)]
[paper - go)]
[paper - ADG/LimSim)]
[paper - THU/DAIR-V2X-Seq)]
[paper - DISCOVER/INT2)]
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[paper - Tong/ssagcn_for_path_prediction)]
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[paper - IDM)]
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[paper - go)]
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[paper - transformer.github.io/sim-agents/)]
[paper - handsome/Joint-Multipathpp)]
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[paper - Planner/)]
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[paper - machine-learning/pedestrianpathprediction)]
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[paper - THU/V2X-Graph)]
[paper - epfl/social-transmotion)]
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[paper - hub.github.io/SceneDM/)]
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[paper - gaia-1/)]
[paper - mpc)]
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[paper - ADG/DriveLikeAHuman)]
[paper - adg.github.io/DiLu/)]
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[paper - with-LLMs)]
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[paper - research/waymax)] [[website](https://waymo.com/intl/zh-cn/research/waymax/)]
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[paper - Driver)]
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[paper - gvl.github.io/Agent-Driver/)]
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[paper - SJTU/Awesome-LLM4AD)]
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[paper - ADG/GPT4V-AD-Exploration)]
[paper - WM)] [[website](https://drive-wm.github.io/)]
[paper - Multimodal-LLM-Autonomous-Driving)]
[paper - ad.github.io/)] [[code](https://github.com/wenyuqing/panacea)]
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[paper - driver.github.io/)]
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[paper - Behavior-aware-Model)]
[paper - QA)]
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[paper - chao-Zhang/OOSTraj)]
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[paper - sim.github.io/)]
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[paper - epfl/UniTraj)]
[paper - behavior-diffusion)]
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[paper - Trajectory-Predition)]
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[paper
Porto - +Prediction+Challenge,+ECML+PKDD+2015)
NGSIM
NYC
T-drive
Greek Trucks
highD
inD
rounD
uniD
exiD
Dronalize
Mirror-Traffic
Argoverse Website
ApolloScape
INTERACTION
Waymo Open Dataset
Cityscapes
KITTI
nuScenes
TRAF
Lyft Level 5
METEOR
DiDi GAIA - City](https://www.scidb.cn/en/detail?dataSetId=804399692560465920&dataSetType=personal), [paper](https://arxiv.org/pdf/1904.01975)
Shanghai & Hangzhou
Beijing
VMT
TRAFFIC
CROSS
Ubiquitous Traffic Eyes (UTE)
GeoLife
UCY
ETH - interest/baug/igp/photogrammetry-remote-sensing-dam/documents/pdf/pellegrini09iccv.pdf)
Stanford Drone Dataset
TrajNet
Oxford Town Center
New York Grand Central Station
PIE
JAAD
DS4C-PPP
BDBC COVID-19
Vi-Fi
LocaRDS
ZUMAVD
Ushant
Cargo
HURDAT2
Movebank
![Star History Chart - history.com/#Psychic-DL/Awesome-Traffic-Agent-Trajectory-Prediction&Date)

Programming Languages

Python 2

Keywords

multi-agent 1 motion-forecasting 1 human-trajectory-prediction 1 few-shot-learning 1 domain-adaptation 1 deep-learning 1 cvpr2024 1 autonomous-vehicles 1 visualization 1 tracking 1 nlp 1 extraction 1 covid-19 1