https://github.com/inverted-ai/torchdrivesim
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation
Papers with Code 아카이브
Trajectory Prediction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
- 32
- 보존된 평가 기록
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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/jbutepage/semi_supervised_variational_recurrent_neural_network
A Probabilistic Semi-Supervised Approach to Multi-Task Human Activity Modeling
https://github.com/joehezhao/expert_traj
https://github.com/johnwlambert/argoverse_cbgs_kf_tracker
https://github.com/kfragkedaki/pedestrian_project
https://github.com/limaosen0/DMGNN
Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction
https://github.com/lyqcom/sgcn
SGCN:Sparse Graph Convolution Network for Pedestrian Trajectory Prediction
https://github.com/maharshi95/Pose2vec
https://github.com/marcdemers/batch-DILATE
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models
https://github.com/mirkozaff/aa-sgan
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
https://github.com/ml1323/musevae
MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction
https://github.com/mohsenzand/reschunk
Multiscale Residual Learning of Graph Convolutional Sequence Chunks for Human Motion Prediction
https://github.com/nageshpindi/human-motion-prediction-master
https://github.com/nanzhaogang/contrib/tree/master/application/multimodal-trajectory-predictions-for-autonomous-driving-using-deep-convolutional-networks
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks
https://github.com/nikeke19/safe-mult-rl
Motion Transformer with Global Intention Localization and Local Movement Refinement
https://github.com/nutonomy/nuscenes-devkit
CoverNet: Multimodal Behavior Prediction using Trajectory Sets
https://github.com/nvlabs/adaptive-prediction
Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data
https://github.com/nvr-avg/adaptive-prediction
Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data
https://github.com/nvr-avg/trajdata
trajdata: A Unified Interface to Multiple Human Trajectory Datasets
https://github.com/olly-styles/Dynamic-Trajectory-Predictor
Forecasting Pedestrian Trajectory with Machine-Annotated Training Data
https://github.com/omron-sinicx/planning-datasets
OpenTraj: Assessing Prediction Complexity in Human Trajectories Datasets
https://github.com/opendrivelab/hdgt
https://github.com/programmingLearner/MATF-architecture-details
Multi-Agent Tensor Fusion for Contextual Trajectory Prediction
https://github.com/qiyan98/social-nce-stgcnn
Social NCE: Contrastive Learning of Socially-aware Motion Representations
https://github.com/quizzicalkudu/shiny-bassoon
Factorised Neural Relational Inference for Multi-Interaction Systems
https://github.com/rohanchandra30/TrackNPred
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
https://github.com/rohjunha/multiple-topologies-prediction
https://github.com/romi514/TLSGAN
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
https://github.com/sancarlim/densetnt-intent
DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets
https://github.com/sshirahmad/GCRL
Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting
https://github.com/talsperre/INFER
https://github.com/tmralmeida/thor-magni-tools
THÖR-MAGNI Act: Actions for Human Motion Modeling in Robot-Shared Industrial Spaces
https://github.com/ucbdrive/3d-vehicle-tracking
https://github.com/umautobots/bidireaction-trajectory-prediction
BiTraP: Bi-directional Pedestrian Trajectory Prediction with Multi-modal Goal Estimation
https://github.com/vertaix/Alpha-Alternator
https://github.com/vita-epfl/s-attack
Are socially-aware trajectory prediction models really socially-aware?
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.