https://github.com/xrenaa/safety-aware-motion-prediction
공식 코드Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving
Papers with Code 아카이브
Trajectory Prediction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 3
- 평가표
- 32
- 보존된 평가 기록
- 132
Trajectory Prediction is the problem of predicting the short-term (1-3 seconds) and long-term (3-5 seconds) spatial coordinates of various road-agents such as cars, buses, pedestrians, rickshaws, and animals, etc. These road-agents have different dynamic behaviors that may correspond to aggressive or conservative driving styles.
Source: Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/xuedashuai/hmnet
공식 코드Hierarchical Motion Encoder-Decoder Network for Trajectory Forecasting
https://github.com/xupei0610/contextvae
공식 코드Context-Aware Timewise VAEs for Real-Time Vehicle Trajectory Prediction
https://github.com/xupei0610/socialvae
공식 코드SocialVAE: Human Trajectory Prediction using Timewise Latents
https://github.com/xushenlz/parksim
공식 코드https://github.com/xuxie1031/CollisionFreeMultiAgentTrajectoryPrediciton
공식 코드Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidance
https://github.com/y-zheng18/gimo
공식 코드https://github.com/yfzhang/vehicle-motion-forecasting
공식 코드https://github.com/yhli123/pretraining_on_synthetic_driving_data_for_trajectory_prediction
공식 코드Pre-training on Synthetic Driving Data for Trajectory Prediction
https://github.com/ynw2021/fend
공식 코드https://github.com/yutasq/multi-class-social-stgcnn
공식 코드https://github.com/zbzhu99/madiff
공식 코드https://github.com/zhanwei-z/g2ltraj
공식 코드G2LTraj: A Global-to-Local Generation Approach for Trajectory Prediction
https://github.com/zhefan-xu/cerlab-uav-autonomy
공식 코드https://github.com/zhengfang1997/Unlimited-Neighborhood-Interaction-for-Heterogeneous-Trajectory-Prediction
공식 코드Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction
https://github.com/ziqipang/streamingforecasting
공식 코드https://github.com/zl-helios/trajpac
공식 코드TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models
https://github.com/zlichen/ppad
공식 코드PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous Driving
https://gitlab.engr.illinois.edu/hubris/mesrnn
공식 코드Meta-path Analysis on Spatio-Temporal Graphs for Pedestrian Trajectory Prediction
https://github.com/2023-MindSpore-1/ms-code-217/tree/main/TNT
https://github.com/AkashGanesan/desire-pytorch
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents
https://github.com/ApeironY/PCCSNet
Three Steps to Multimodal Trajectory Prediction: Modality Clustering, Classification and Synthesis
https://github.com/BenMSK/trajectory-prediction-for-KalmanPrediction-and-DeepLearning
Kinematic Single Vehicle Trajectory Prediction Baselines and Applications with the NGSIM Dataset
https://github.com/ClementJaccarino/NEC_DeepTP
Predicting Aircraft Trajectories: A Deep Generative Convolutional Recurrent Neural Networks Approach
https://github.com/ConditionalSpeedGAN/CSG
Conditional Generative Adversarial Networks for Speed Control in Trajectory Simulation
https://github.com/Djmcflush/Funky-Movement
https://github.com/FunmiKesa/JLA
Joint Learning Architecture for Multiple Object Tracking and Trajectory Forecasting
https://github.com/Jacoo-Zhao/3D-Pose-Based-Feedback-For-Physical-Exercises
Learning Trajectory Dependencies for Human Motion Prediction
https://github.com/JunweiLiang/Object_Detection_Tracking
From Recognition to Prediction: Analysis of Human Action and Trajectory Prediction in Video
https://github.com/JunweiLiang/social-distancing-prediction
Peeking into the Future: Predicting Future Person Activities and Locations in Videos
https://github.com/KrishnaswamyLab/ImageFlowNet
https://github.com/Manojbhat09/DATF-Trajformer
Trajformer: Trajectory Prediction with Local Self-Attentive Contexts for Autonomous Driving
https://github.com/MiG98789/urop-desire
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents
https://github.com/MindCode-4/code-8/tree/main/multimodal-trajectory
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks
https://github.com/MindSpore-scientific/code-6/tree/main/multimodal-trajectory
CoverNet: Multimodal Behavior Prediction using Trajectory Sets
https://github.com/MoonBlvd/tad-IROS2019-TBD-
Unsupervised Traffic Accident Detection in First-Person Videos
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.