Awesome-Interaction-Aware-Trajectory-Prediction
Trajectory prediction datasets
A collection of state-of-the-art research materials and datasets for trajectory prediction in various fields like autonomous driving, robotics, and human behavior analysis.
A selection of state-of-the-art research materials on trajectory prediction
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artificial-intelligenceautonomous-drivingautonomous-vehiclesbehavior-analysisbehavior-predictioncomputer-visiondeep-learninghuman-trajectory-predictionmachine-learningmotion-predictionmultiagent-learningmultiagent-systemspaperpath-predictionspedestrian-trajectoriessocial-interactionstraffictrajectory-generationtrajectory-predictionvehicle-trajectory
Awesome Interaction-Aware Behavior and Trajectory Prediction / Datasets / Vehicles and Traffic | |||
| Waymo Open Dataset | |||
| Argoverse | |||
| nuScenes | |||
| highD | |||
| inD | |||
| roundD | |||
| BDD100k | |||
| KITTI | |||
| NGSIM | |||
| INTERACTION | |||
| Cyclists | |||
| Apolloscapes | |||
| Udacity | 6,237 | almost 3 years ago | |
| Cityscapes | |||
| Stanford Drone | |||
| Argoverse | |||
| TRAF | |||
| Aschaffenburg Pose Dataset | |||
Awesome Interaction-Aware Behavior and Trajectory Prediction / Datasets / Pedestrians | |||
| UCY | |||
| ETH (ICCV09) | |||
| VIRAT | |||
| KITTI | |||
| ATC | |||
| Daimler | |||
| Central Station | |||
| Town Center | |||
| Edinburgh | |||
| Cityscapes | |||
| Argoverse | |||
| Stanford Drone | |||
| TrajNet | |||
| PIE | |||
| ForkingPaths | |||
| TrajNet++ | |||
| Aschaffenburg Pose Dataset | |||
| Cyclist Top-View Dataset (CTV) | |||
Awesome Interaction-Aware Behavior and Trajectory Prediction / Datasets / Sport Players | |||
| Football | |||
| NBA SportVU | 656 | about 1 year ago | |
| NFL | 2 | almost 6 years ago | |
Awesome Interaction-Aware Behavior and Trajectory Prediction / Literature and Codes / Survey Papers | |||
| paper | Machine Learning for Autonomous Vehicle’s Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions, arXiv preprint arXiv:2307.07527, 2023. [ ] | ||
| paper | Incorporating Driving Knowledge in Deep Learning Based Vehicle Trajectory Prediction: A Survey, IEEE T-IV, 2023. [ ] | ||
| paper | Pedestrian Trajectory Prediction in Pedestrian-Vehicle Mixed Environments: A Systematic Review, IEEE T-ITS, 2023. [ ] | ||
| paper | A Survey on Trajectory-Prediction Methods for Autonomous Driving, IEEE T-IV 2022. [ ] | ||
| paper | A Survey of Vehicle Trajectory Prediction Based on Deep Learning Models, International Conference on Sustainable Expert Systems, ICSES 2022. [ ] | ||
| paper | Scenario Understanding and Motion Prediction for Autonomous Vehicles – Review and Comparison, IEEE T-ITS, 2022. [ ] | ||
| paper | Multi-modal Fusion Technology based on Vehicle Information: A Survey, arXiv preprint arXiv:2211.06080, 2022. [ ] | ||
| paper | Deep Reinforcement Learning for Autonomous Driving: A Survey, IEEE T-ITS, 2022. [ ] | ||
| paper | Social Interactions for Autonomous Driving: A Review and Perspective, arXiv preprint arXiv:2208.07541, 2022. [ ] | ||
| paper | Generative Adversarial Networks for Spatio-temporal Data: A Survey, ACM T-IST, 2022. [ ] | ||
| paper | Behavioral Intention Prediction in Driving Scenes: A Survey, arXiv preprint arXiv:2211.00385, 2022. [ ] | ||
| paper | A Survey on Motion Prediction of Pedestrians and Vehicles for Autonomous Driving, IEEE Access, 2021. [ ] | ||
| paper | Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-based Approaches, arXiv preprint arXiv:2111.06740, 2021. [ ] | ||
| paper | A Survey on Trajectory Data Management, Analytics, and Learning, CSUR 2021. [ ] | ||
| paper | Pedestrian Behavior Prediction for Automated Driving: Requirements, Metrics, and Relevant Features, IEEE T-ITS, 2021. [ ] | ||
| paper | A Review of Deep Learning-Based Methods for Pedestrian Trajectory Prediction, Sensors, 2021. [ ] | ||
| paper | A Survey on Deep-Learning Approaches for Vehicle Trajectory Prediction in Autonomous Driving, ROBIO 2021. [ ] [ ] | ||
| paper | A Survey of Deep Learning Techniques for Autonomous Driving, Journal of Field Robotics, 2020. [ ] | ||
| paper | Human Motion Trajectory Prediction: A Survey, International Journal of Robotics Research, 2020. [ ] | ||
| paper | Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies, arXiv preprint arXiv:2006.06091, 2020. [ ] | ||
| paper | A Survey on Visual Traffic Simulation: Models, Evaluations, and Applications in Autonomous Driving, Computer Graphics Forum 2020. [ ] | ||
| paper | Deep Learning-Based Vehicle Behavior Prediction for Autonomous Driving Applications: A Review, IEEE T-ITS 2020. [ ] | ||
| paper | Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles, IEEE T-ITS 2020. [ ] | ||
| paper | Vehicle Trajectory Similarity: Models, Methods, and Applications, ACM Computing Surveys (CSUR 2020). [ ] | ||
| paper | Modeling and Prediction of Human Driver Behavior: A Survey, 2020. [ ] | ||
| paper | A literature review on the prediction of pedestrian behavior in urban scenarios, ITSC 2018. [ ] | ||
| paper | Survey on Vision-Based Path Prediction. [ ] | ||
| paper | Autonomous vehicles that interact with pedestrians: A survey of theory and practice. [ ] | ||
| paper | Trajectory data mining: an overview. [ ] | ||
| paper | A survey on motion prediction and risk assessment for intelligent vehicles. [ ] | ||
Awesome Interaction-Aware Behavior and Trajectory Prediction / Literature and Codes / Physics Systems with Interaction | |||
| paper | Learning Physical Dynamics with Subequivariant Graph Neural Networks, NeurIPS 2022. [ ] [ ] | ||
| paper | EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning, NeurIPS 2020. [ ] | ||
| paper | Interaction Templates for Multi-Robot Systems, IROS 2019. [ ] | ||
| paper | Factorised Neural Relational Inference for Multi-Interaction Systems, ICML workshop 2019. [ ] [ ] | ||
| paper | Physics-as-Inverse-Graphics: Joint Unsupervised Learning of Objects and Physics from Video, 2019. [ ] | ||
| paper | Neural Relational Inference for Interacting Systems, ICML 2018. [ ] [ ] | ||
| paper | Unsupervised Learning of Latent Physical Properties Using Perception-Prediction Networks, UAI 2018. [ ] | ||
| paper | Relational inductive biases, deep learning, and graph networks, 2018. [ ] | ||
| paper | Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions, ICLR 2018. [ ] | ||
| paper | Graph networks as learnable physics engines for inference and control, ICML 2018. [ ] | ||
| paper | Flexible Neural Representation for Physics Prediction, 2018. [ ] | ||
| paper | A simple neural network module for relational reasoning, 2017. [ ] | ||
| paper | VAIN: Attentional Multi-agent Predictive Modeling, NeurIPS 2017. [ ] | ||
| paper | Visual Interaction Networks, 2017. [ ] | ||
| paper | A Compositional Object-Based Approach to Learning Physical Dynamics, ICLR 2017. [ ] | ||
| paper | Interaction Networks for Learning about Objects, Relations and Physics, 2016. [ ][ ] | ||
Awesome Interaction-Aware Behavior and Trajectory Prediction / Literature and Codes / Intelligent Vehicles & Traffic & Pedestrians | |||
| paper | Diffusion-Based Environment-Aware Trajectory Prediction, arXiv preprint arXiv:2403.11643, 2024. [ ] | ||
| paper | MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction with Neural ODEs, IEEE T-IV 2023. [ ] [ ] | ||
| paper | MotionDiffuser: Controllable Multi-Agent Motion Prediction using Diffusion, CVPR 2023. [ ] | ||
| paper | Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction, CVPR 2023. [ ] | ||
| paper | Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction, CVPR 2023. [ ] [ ] | ||
| paper | Planning-oriented Autonomous Driving, CVPR 2023. [ ] [ ] | ||
| paper | IPCC-TP: Utilizing Incremental Pearson Correlation Coefficient for Joint Multi-Agent Trajectory Prediction, CVPR 2023. [ ] | ||
| paper | Stimulus Verification is a Universal and Effective Sampler in Multi-modal Human Trajectory Prediction, CVPR 2023. [ ] | ||
| paper | Query-Centric Trajectory Prediction, CVPR 2023. [ ] [ ] [ ] | ||
| paper | FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-tail Trajectory Prediction, CVPR 2023. [ ] | ||
| paper | Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion, CVPR 2023. [ ] [ ] | ||
| paper | FJMP: Factorized Joint Multi-Agent Motion Prediction over Learned Directed Acyclic Interaction Graphs, CVPR 2023. [ ] [ ] | ||
| paper | Leapfrog Diffusion Model for Stochastic Trajectory Prediction, CVPR 2023. [ ] [ ] | ||
| paper | ViP3D: End-to-end Visual Trajectory Prediction via 3D Agent Queries, CVPR 2023. [ ] [ ] | ||
| paper | EqMotion: Equivariant Multi-Agent Motion Prediction with Invariant Interaction Reasoning, CVPR 2023. [ ] [ ] | ||
| paper | V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting, CVPR 2023. [ ] [ ] | ||
| paper | Weakly Supervised Class-agnostic Motion Prediction for Autonomous Driving, CVPR 2023. [ ] | ||
| paper | Decompose More and Aggregate Better: Two Closer Looks at Frequency Representation Learning for Human Motion Prediction, CVPR 2023. [ ] | ||
| paper | HumanMAC: Masked Motion Completion for Human Motion Prediction, ICCV 2023. [ ] [ ] | ||
| paper | BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction, ICCV 2023. [ ] [ ] | ||
| paper | EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting, ICCV 2023. [ ] [ ] | ||
| paper | ADAPT: Efficient Multi-Agent Trajectory Prediction with Adaptation, ICCV 2023. [ ] [ ] | ||
| paper | PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird’s-Eye View, IJCAI 2023. [ ] [ ] | ||
| paper | Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction, AAAI 2023. [ ] | ||
| paper | Multi-stream Representation Learning for Pedestrian Trajectory Prediction, AAAI 2023. [ ] | ||
| paper | Continuous Trajectory Generation Based on Two-Stage GAN, AAAI 2023. [ ] [ ] | ||
| paper | A Set of Control Points Conditioned Pedestrian Trajectory Prediction, AAAI 2023. [ ] [ ] | ||
| paper | Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction, ICLR 2023. [ ] | ||
| paper | TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios, ICRA 2023. [ ] [ ] | ||
| paper | GANet: Goal Area Network for Motion Forecasting, ICRA 2023. [ ] [ ] | ||
| paper | TOFG: A Unified and Fine-Grained Environment Representation in Autonomous Driving, ICRA 2023. [ ] | ||
| paper | SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving, CoRL 2023. [ ] [ ] | ||
| paper | LimSim: A Long-term Interactive Multi-scenario Traffic Simulator, ITSC 2023. [ ] [ ] | ||
| paper | MVHGN: Multi-View Adaptive Hierarchical Spatial Graph Convolution Network Based Trajectory Prediction for Heterogeneous Traffic-Agents, TITS. [ ] | ||
| paper | Adaptive and Simultaneous Trajectory Prediction for Heterogeneous Agents via Transferable Hierarchical Transformer Network, TITS. [ ] | ||
| paper | SSAGCN: Social Soft Attention Graph Convolution Network for Pedestrian Trajectory Prediction, TNNLS. [ ] [ ] | ||
| paper | Disentangling Crowd Interactions for Pedestrians Trajectory Prediction, RAL. [ ] | ||
| paper | VNAGT: Variational Non-Autoregressive Graph Transformer Network for Multi-Agent Trajectory Prediction, IEEE Transactions on Vehicular Technology. [ ] | ||
| paper | Spatial-Temporal-Spectral LSTM: A Transferable Model for Pedestrian Trajectory Prediction, TIV. [ ] | ||
| paper | Holistic Transformer: A Joint Neural Network for Trajectory Prediction and Decision-Making of Autonomous Vehicles, PR. [ ] | ||
| paper | Tri-HGNN: Learning triple policies fused hierarchical graph neural networks for pedestrian trajectory prediction, PR. [ ] | ||
| paper | Multimodal Vehicular Trajectory Prediction With Inverse Reinforcement Learning and Risk Aversion at Urban Unsignalized Intersections, TITS. [ ] | ||
| paper | Trajectory prediction for autonomous driving based on multiscale spatial‐temporal graph, IET Intelligent Transport Systems. [ ] | ||
| paper | Social Self-Attention Generative Adversarial Networks for Human Trajectory Prediction, IEEE Transactions on Artificial Intelligence. [ ] | ||
| paper | CSIR: Cascaded Sliding CVAEs With Iterative Socially-Aware Rethinking for Trajectory Prediction, TITS. [ ] | ||
| paper | Multimodal Manoeuvre and Trajectory Prediction for Automated Driving on Highways Using Transformer Networks, RAL. [ ] | ||
| paper | A physics-informed Transformer model for vehicle trajectory prediction on highways, Transportation Research Part C: Emerging Technologies. [ ] [ ] | ||
| paper | MacFormer: Map-Agent Coupled Transformer for Real-time and Robust Trajectory Prediction, RAL. [ ] | ||
| paper | MRGTraj: A Novel Non-Autoregressive Approach for Human Trajectory Prediction, TCSVT. [ ] [ ] | ||
| paper | Planning-inspired Hierarchical Trajectory Prediction via Lateral-Longitudinal Decomposition for Autonomous Driving, TIV. [ ] | ||
| paper | Traj-MAE: Masked Autoencoders for Trajectory Prediction, arXiv preprint arXiv:2303.06697, 2023. [ ] | ||
| paper | Uncertainty-Aware Pedestrian Trajectory Prediction via Distributional Diffusion, arXiv preprint arXiv:2303.08367, 2023. [ ] | ||
| paper | Diffusion Model for GPS Trajectory Generation, arXiv preprint arXiv:2304.11582, 2023. [ ] | ||
| paper | Multiverse Transformer: 1st Place Solution for Waymo Open Sim Agents Challenge 2023, CVPR 2023 Workshop on Autonomous Driving. [ ] [ ] | ||
| paper | Joint-Multipath++ for Simulation Agents: 2nd Place Solution for Waymo Open Sim Agents Challenge 2023, CVPR 2023 Workshop on Autonomous Driving. [ ] [ ] | ||
| paper | MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying, 1st Place Solution for Waymo Open Motion Prediction Challenge 2023, CVPR 2023 Workshop on Autonomous Driving. [ ] [ ] | ||
| paper | GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving, arXiv preprint arXiv:2303.05760, 2023. [ ] [ ] [ ] | ||
| paper | GameFormer Planner: A Learning-enabled Interactive Prediction and Planning Framework for Autonomous Vehicles, the nuPlan Planning Challenge at the CVPR 2023 End-to-End Autonomous Driving Workshop. [ ] [ ] | ||
| paper | trajdata: A Unified Interface to Multiple Human Trajectory Datasets, arXiv preprint arXiv:2307.13924, 2023. [ ] [ ] | ||
| paper | Remember Intentions: Retrospective-Memory-based Trajectory Prediction, CVPR 2022. [ ] [ ] | ||
| paper | STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes, CVPR 2022. [ ] [ ] | ||
| paper | Vehicle trajectory prediction works, but not everywhere, CVPR 2022. [ ] [ ] | ||
| paper | Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion, CVPR 2022. [ ] [ ] | ||
| paper | Non-Probability Sampling Network for Stochastic Human Trajectory Prediction, CVPR 2022. [ ] [ ] | ||
| paper | On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles, CVPR 2022. [ ] [ ] | ||
| paper | Adaptive Trajectory Prediction via Transferable GNN, CVPR 2022. [ ] | ||
| paper | Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective, CVPR 2022. [ ] [ , ] | ||
| paper | How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting, CVPR 2022. [ ] | ||
| paper | Learning from All Vehicles, CVPR 2022. [ ] [ ] | ||
| paper | Forecasting from LiDAR via Future Object Detection, CVPR 2022. [ ] [ ] | ||
| paper | End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps, CVPR 2022. [ ] [ ] | ||
| paper | M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction, CVPR 2022. [ ] [ ] | ||
| paper | GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning, CVPR 2022. [ ] [ ] | ||
| paper | Whose Track Is It Anyway? Improving Robustness to Tracking Errors with Affinity-Based Prediction, CVPR 2022. [ ] | ||
| paper | ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning, CVPR 2022. [ ] [ ] | ||
| paper | Graph-based Spatial Transformer with Memory Replay for Multi-future Pedestrian Trajectory Prediction, CVPR 2022. [ ] [ ] | ||
| paper | MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction, CVPR 2022. [ ] | ||
| paper | LTP: Lane-based Trajectory Prediction for Autonomous Driving, CVPR 2022. [ ] | ||
| paper | ATPFL: Automatic Trajectory Prediction Model Design under Federated Learning Framework, CVPR 2022. [ ] | ||
| paper | Human Trajectory Prediction with Momentary Observation, CVPR 2022. [ ] | ||
| paper | HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction, CVPR 2022. [ ] [ ] | ||
| paper | Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction, ECCV 2022. [ ] [ ] | ||
| paper | Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation, ECCV 2022. [ ] [ ] [ ] | ||
| paper | Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting, ECCV 2022. [ ] [ ] | ||
| paper | SocialVAE: Human Trajectory Prediction using Timewise Latents, ECCV 2022. [ ] [ ] | ||
| paper | View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums, ECCV 2022. [ ] [ ] | ||
| paper | Entry-Flipped Transformer for Inference and Prediction of Participant Behavior, ECCV 2022. [ ] | ||
| paper | D2-TPred: Discontinuous Dependency for Trajectory Prediction under Traffic Lights, ECCV 2022. [ ] [ ] | ||
| paper | Human Trajectory Prediction via Neural Social Physics, ECCV 2022. [ ] [ ] | ||
| paper | Social-SSL: Self-Supervised Cross-Sequence Representation Learning Based on Transformers for Multi-Agent Trajectory Prediction, ECCV 2022. [ ] [ ] | ||
| paper | Aware of the History: Trajectory Forecasting with the Local Behavior Data, ECCV 2022. [ ] [ ] | ||
| paper | Action-based Contrastive Learning for Trajectory Prediction, ECCV 2022. [ ] | ||
| paper | AdvDO: Realistic Adversarial Attacks for Trajectory Prediction, ECCV 2022. [ ] | ||
| paper | ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal Feature Learning, ECCV 2022. [ ] [ ] | ||
| paper | Social ODE: Multi-Agent Trajectory Forecasting with Neural Ordinary Differential Equations, ECCV 2022. [ ] | ||
| paper | Forecasting Human Trajectory from Scene History, NeurIPS 2022. [ ] [ ] | ||
| paper | Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline, NeurIPS 2022. [ ] [ ] | ||
| paper | Motion Transformer with Global Intention Localization and Local Movement Refinement, NeurIPS 2022. [ ] [ ] | ||
| paper | Interaction Modeling with Multiplex Attention, NeurIPS 2022. [ ] [ ] | ||
| paper | Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models, Conference on Learning for Dynamics and Control (L4DC). [ ] [ ] | ||
| paper | Social Interpretable Tree for Pedestrian Trajectory Prediction, AAAI 2022. [ ] [ ] | ||
| paper | Complementary Attention Gated Network for Pedestrian Trajectory Prediction, AAAI 2022. [ ] [ ] | ||
| paper | Scene Transformer: A unified architecture for predicting future trajectories of multiple agents, ICLR 2022. [ ] | ||
| paper | You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction, ICLR 2022. [ ] | ||
| paper | Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion Prediction, ICLR 2022. [ ] [ ] | ||
| paper | THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling, ICLR 2022. [ ] | ||
| paper | Path-Aware Graph Attention for HD Maps in Motion Prediction, ICRA 2022. [ ] | ||
| paper | Trajectory Prediction with Linguistic Representations, ICRA 2022. [ ] | ||
| paper | Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction, ICRA 2022. [ ] [ ] | ||
| paper | KEMP: Keyframe-Based Hierarchical End-to-End Deep Model for Long-Term Trajectory Prediction, ICRA 2022. [ ] | ||
| paper | Domain Generalization for Vision-based Driving Trajectory Generation, ICRA 2022. [ ] [ ] | ||
| paper | A Deep Concept Graph Network for Interaction-Aware Trajectory Prediction, ICRA 2022. [ ] | ||
| paper | Conditioned Human Trajectory Prediction using Iterative Attention Blocks, ICRA 2022. [ ] | ||
| paper | StopNet: Scalable Trajectory and Occupancy Prediction for Urban Autonomous Driving, ICRA 2022. [ ] | ||
| paper | Meta-path Analysis on Spatio-Temporal Graphs for Pedestrian Trajectory Prediction, ICRA 2022. [ ] [ ] | ||
| paper | Propagating State Uncertainty Through Trajectory Forecasting, ICRA 2022. [ ] [ ] | ||
| paper | HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling, ICRA 2022. [ ] | ||
| paper | Grouptron: Dynamic Multi-Scale Graph Convolutional Networks for Group-Aware Dense Crowd Trajectory Forecasting, ICRA 2022. [ ] | ||
| paper | Crossmodal Transformer Based Generative Framework for Pedestrian Trajectory Prediction, ICRA 2022. [ ] | ||
| paper | Trajectory Prediction for Autonomous Driving with Topometric Map, ICRA 2022. [ ] [ ] | ||
| paper | CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention, ICRA 2022. [ ] [ ] | ||
| paper | MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction, ICRA 2022. [ ] | ||
| paper | Multi-modal Motion Prediction with Transformer-based Neural Network for Autonomous Driving, ICRA 2022. [ ] | ||
| paper | GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation, ICRA 2022. [ ] | ||
| paper | TridentNetV2: Lightweight Graphical Global Plan Representations for Dynamic Trajectory Generation, ICRA 2022. [ ] | ||
| paper | Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty, IROS 2022. [ ] [ ] [ ] | ||
| paper | Trajectory Prediction with Graph-based Dual-scale Context Fusion, IROS 2022. [ ] [ ] | ||
| paper | Robust Trajectory Prediction against Adversarial Attacks, CoRL 2022. [ ] [ ] | ||
| paper | Planning with Diffusion for Flexible Behavior Synthesis, ICML 2022. [ ] [ ] | ||
| paper | Synchronous Bi-Directional Pedestrian Trajectory Prediction with Error Compensation, ACCV 2022. [ ] | ||
| paper | AI-TP: Attention-based Interaction-aware Trajectory Prediction for Autonomous Driving, IEEE T-IV, 2022. [ ] [ ] | ||
| paper | MDST-DGCN: A Multilevel Dynamic Spatiotemporal Directed Graph Convolutional Network for Pedestrian Trajectory Prediction, Computational Intelligence and Neuroscience. [ ] | ||
| paper | Graph-Based Spatial-Temporal Convolutional Network for Vehicle Trajectory Prediction in Autonomous Driving, IEEE T-ITS, 2022. [ ] | ||
| paper | Multi-Agent Trajectory Prediction with Heterogeneous Edge-Enhanced Graph Attention Network, IEEE T-ITS, 2022. [ ] | ||
| paper | Fully Convolutional Encoder-Decoder With an Attention Mechanism for Practical Pedestrian Trajectory Prediction, IEEE T-ITS, 2022. [ ] | ||
| paper | STGM: Vehicle Trajectory Prediction Based on Generative Model for Spatial-Temporal Features, IEEE T-ITS, 2022. [ ] | ||
| paper | Trajectory Prediction for Autonomous Driving Using Spatial-Temporal Graph Attention Transformer, IEEE T-ITS, 2022. [ ] | ||
| paper | Intention-Aware Vehicle Trajectory Prediction Based on Spatial-Temporal Dynamic Attention Network for Internet of Vehicles, IEEE T-ITS, 2022. [ ] [ ] | ||
| paper | Trajectory Forecasting Based on Prior-Aware Directed Graph Convolutional Neural Network, IEEE T-ITS, 2022. [ ] | ||
| paper | DeepTrack: Lightweight Deep Learning for Vehicle Trajectory Prediction in Highways, IEEE T-ITS, 2022. [ ] | ||
| paper | Interactive Trajectory Prediction Using a Driving Risk Map-Integrated Deep Learning Method for Surrounding Vehicles on Highways, IEEE T-ITS, 2022. [ ] | ||
| paper | Vehicle Trajectory Prediction in Connected Environments via Heterogeneous Context-Aware Graph Convolutional Networks, IEEE T-ITS, 2022. [ ] | ||
| paper | Trajectory Prediction Neural Network and Model Interpretation Based on Temporal Pattern Attention, IEEE T-ITS, 2022. [ ] | ||
| paper | Learning Sparse Interaction Graphs of Partially Detected Pedestrians for Trajectory Prediction, IEEE RA-L, 2022. [ ] [ ] | ||
| paper | GAMMA: A General Agent Motion Prediction Model for Autonomous Driving, RAL. [ ] [ ] | ||
| paper | Stepwise Goal-Driven Networks for Trajectory Prediction, RAL. [ ] [ ] | ||
| paper | GA-STT: Human Trajectory Prediction with Group Aware Spatial-Temporal Transformer, RAL. [ ] | ||
| paper | Long-term 4D trajectory prediction using generative adversarial networks, Transportation Research Part C: Emerging Technologies. [ ] | ||
| paper | A context-aware pedestrian trajectory prediction framework for automated vehicles, Transportation Research Part C: Emerging Technologies. [ ] | ||
| paper | Explainable multimodal trajectory prediction using attention models, Transportation Research Part C: Emerging Technologies. [ ] | ||
| paper | CSCNet: Contextual semantic consistency network for trajectory prediction in crowded spaces, PR. [ ] | ||
| paper | CSR: Cascade Conditional Variational AutoEncoder with Social-aware Regression for Pedestrian Trajectory Prediction, PR. [ ] | ||
| paper | Step Attention: Sequential Pedestrian Trajectory Prediction, IEEE Sensors Journal. [ ] | ||
| paper | Vehicle Trajectory Prediction Method Coupled With Ego Vehicle Motion Trend Under Dual Attention Mechanism, IEEE Transactions on Instrumentation and Measurement. [ ] | ||
| paper | Spatio-temporal Interaction Aware and Trajectory Distribution Aware Graph Convolution Network for Pedestrian Multimodal Trajectory Prediction, IEEE Transactions on Instrumentation and Measurement. [ ] | ||
| paper | Deep encoder–decoder-NN: A deep learning-based autonomous vehicle trajectory prediction and correction model, Physica A: Statistical Mechanics and its Applications. [ ] | ||
| paper | PTPGC: Pedestrian trajectory prediction by graph attention network with ConvLSTM, Robotics and Autonomous Systems. [ ] | ||
| paper | GCHGAT: pedestrian trajectory prediction using group constrained hierarchical graph attention networks, Applied Intelligence. [ ] | ||
| paper | Vehicles Trajectory Prediction Using Recurrent VAE Network, IEEE Access. [ ] [ ] | ||
| paper | SEEM: A Sequence Entropy Energy-Based Model for Pedestrian Trajectory All-Then-One Prediction, TPAMI. [ ] | ||
| paper | PTP-STGCN: Pedestrian Trajectory Prediction Based on a Spatio-temporal Graph Convolutional Neural Network, Applied Intelligence. [ ] | ||
| paper | Trajectory distributions: A new description of movement for trajectory prediction, Computational Visual Media. [ ] | ||
| paper | Trajectory prediction for autonomous driving based on multiscale spatial-temporal graph, IET Intelligent Transport Systems. [ ] | ||
| paper | Continual learning-based trajectory prediction with memory augmented networks, Knowledge-Based Systems. [ ] | ||
| paper | Atten-GAN: Pedestrian Trajectory Prediction with GAN Based on Attention Mechanism, Cognitive Computation. [ ] | ||
| paper | EvoSTGAT: Evolving spatiotemporal graph attention networks for pedestrian trajectory prediction, Neurocomputing. [ ] | ||
| paper | Raising context awareness in motion forecasting, CVPR Workshops 2022. [ ] [ ] | ||
| paper | Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction, CVPR Workshops 2022. [ ] [ ] | ||
| paper | Importance Is in Your Attention: Agent Importance Prediction for Autonomous Driving, CVPR Workshops 2022. [ ] | ||
| paper | MPA: MultiPath++ Based Architecture for Motion Prediction, CVPR Workshops 2022. [ ] [ ] | ||
| paper | TPAD: Identifying Effective Trajectory Predictions Under the Guidance of Trajectory Anomaly Detection Model, arXiv:2201.02941, 2022. [ ] | ||
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| paper | GLMP-realtime pedestrian path prediction using global and local movement patterns, ICRA 2016. [ ] | ||
| paper | Knowledge transfer for scene-specific motion prediction, ECCV 2016. [ ] | ||
| code | 28 | about 7 years ago | STF-RNN: Space Time Features-based Recurrent Neural Network for predicting People Next Location, SSCI 2016. [ ] |
| paper | Goal-directed pedestrian prediction, ICCV 2015. [ ] | ||
| paper | Trajectory analysis and prediction for improved pedestrian safety: Integrated framework and evaluations, 2015. [ ] | ||
| paper | Predicting and recognizing human interactions in public spaces, 2015. [ ] | ||
| paper | Learning collective crowd behaviors with dynamic pedestrian-agents, 2015. [ ] | ||
| paper | Modeling spatial-temporal dynamics of human movements for predicting future trajectories, AAAI 2015. [ ] | ||
| paper | Unsupervised robot learning to predict person motion, ICRA 2015. [ ] | ||
| paper | A controlled interactive multiple model filter for combined pedestrian intention recognition and path prediction, ITSC 2015. [ ] | ||
| paper | Real-Time Predictive Modeling and Robust Avoidance of Pedestrians with Uncertain, Changing Intentions, 2014. [ ] | ||
| paper | Behavior estimation for a complete framework for human motion prediction in crowded environments, ICRA 2014. [ ] | ||
| paper | Pedestrian’s trajectory forecast in public traffic with artificial neural network, ICPR 2014. [ ] | ||
| paper | Will the pedestrian cross? A study on pedestrian path prediction, 2014. [ ] | ||
| paper | BRVO: Predicting pedestrian trajectories using velocity-space reasoning, 2014. [ ] | ||
| paper | Context-based pedestrian path prediction, ECCV 2014. [ ] | ||
| paper | Pedestrian path prediction using body language traits, 2014. [ ] | ||
| paper | Online maneuver recognition and multimodal trajectory prediction for intersection assistance using non-parametric regression, 2014. [ ] | ||
| paper | Learning intentions for improved human motion prediction, 2013. [ ] | ||
| paper | Understanding interactions between traffic participants based on learned behaviors, 2016. [ ] | ||
| paper | Visual path prediction in complex scenes with crowded moving objects, CVPR 2016. [ ] | ||
| paper | A game-theoretic approach to replanning-aware interactive scene prediction and planning, 2016. [ ] | ||
| paper | Intention-aware online pomdp planning for autonomous driving in a crowd, ICRA 2015. [ ] | ||
| paper | Online maneuver recognition and multimodal trajectory prediction for intersection assistance using non-parametric regression, 2014. [ ] | ||
| paper | Patch to the future: Unsupervised visual prediction, CVPR 2014. [ ] | ||
| paper | Mobile agent trajectory prediction using bayesian nonparametric reachability trees, 2011. [ ] | ||
Awesome Interaction-Aware Behavior and Trajectory Prediction / Literature and Codes / Mobile Robots | |||
| paper | Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements, ICRA 2021. [ ] | ||
| paper | Social NCE: Contrastive Learning of Socially-aware Motion Representations. [ ], [ ] | ||
| paper | Multimodal probabilistic model-based planning for human-robot interaction, ICRA 2018. [ ][ ] | ||
| paper | Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning, ICRA 2017. [ ] | ||
| paper | Augmented dictionary learning for motion prediction, ICRA 2016. [ ] | ||
| paper | Predicting future agent motions for dynamic environments, ICMLA 2016. [ ] | ||
| paper | Bayesian intention inference for trajectory prediction with an unknown goal destination, IROS 2015. [ ] | ||
| paper | Learning to predict trajectories of cooperatively navigating agents, ICRA 2014. [ ] | ||
Awesome Interaction-Aware Behavior and Trajectory Prediction / Literature and Codes / Sport Players | |||
| paper | EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning, NeurIPS 2020. [ ] | ||
| paper | Imitative Non-Autoregressive Modeling for Trajectory Forecasting and Imputation, CVPR 2020. [ ] | ||
| paper | DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting, ICPR 2020. [ ] [ ] | ||
| paper | Diverse Generation for Multi-Agent Sports Games, CVPR 2019. [ ] | ||
| paper | Stochastic Prediction of Multi-Agent Interactions from Partial Observations, ICLR 2019. [ ] | ||
| paper | Generating Multi-Agent Trajectories using Programmatic Weak Supervision, ICLR 2019. [ ] | ||
| paper | Generative Multi-Agent Behavioral Cloning, ICML 2018. [ ] | ||
| paper | Where Will They Go? Predicting Fine-Grained Adversarial Multi-Agent Motion using Conditional Variational Autoencoders, ECCV 2018. [ ] | ||
| paper | Coordinated Multi-Agent Imitation Learning, ICML 2017. [ ] | ||
| paper | Generating long-term trajectories using deep hierarchical networks, 2017. [ ] | ||
| paper | Learning Fine-Grained Spatial Models for Dynamic Sports Play Prediction, ICDM 2014. [ ] | ||
| paper | Generative Modeling of Multimodal Multi-Human Behavior, 2018. [ ] | ||
| paper | What will Happen Next? Forecasting Player Moves in Sports Videos, ICCV 2017, [ ] | ||
Awesome Interaction-Aware Behavior and Trajectory Prediction / Literature and Codes / Benchmark and Evaluation Metrics | |||
| paper | A Preprocessing and Evaluation Toolbox for Trajectory Prediction Research on the Drone Datasets, arXiv preprint arXiv:2405.00604, 2024. [ ] [ ] | ||
| paper | Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation, ECCV 2022. [ ] [ ] | ||
| paper | OpenTraj: Assessing Prediction Complexity in Human Trajectories Datasets, ACCV 2020. [ ] [ ] | ||
| paper | Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction, ECCV 2020. [ ] | ||
| paper | PIE: A Large-Scale Dataset and Models for Pedestrian Intention Estimation and Trajectory Prediction, ICCV 2019. [ ] | ||
| paper | Towards a fatality-aware benchmark of probabilistic reaction prediction in highly interactive driving scenarios, ITSC 2018. [ ] | ||
| paper | How good is my prediction? Finding a similarity measure for trajectory prediction evaluation, ITSC 2017. [ ] | ||
| website | Trajnet: Towards a benchmark for human trajectory prediction. [ ] | ||
Awesome Interaction-Aware Behavior and Trajectory Prediction / Literature and Codes / Others | |||
| paper | Pose Based Start Intention Detection of Cyclists, ITSC 2019. [ ] | ||
| paper | Cyclist trajectory prediction using bidirectional recurrent neural networks, AI 2018. [ ] | ||
| paper | Road infrastructure indicators for trajectory prediction, 2018. [ ] | ||
| paper | Using road topology to improve cyclist path prediction, 2017. [ ] | ||
| paper | Trajectory prediction of cyclists using a physical model and an artificial neural network, 2016. [ ] | ||
ly0n/awesome-robotic-tooling