本仓库由公众号【自动驾驶之心】团队整理，欢迎关注，一览最前沿的技术分享!
自动驾驶之心是国内首个自动驾驶开发者社区！这里有最全面有效的自动驾驶与AI学习路线（感知/定位/融合）和自动驾驶与AI公司内推机会！
colorfulfuture/Awesome-Trajectory-Motion-Prediction-Papers (github.com)
Y-Net: From goals, waypoints & paths to long term human trajectory forecasting, ICCV 2021
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian TrajectoryPrediction, ICCV 2021
Semantic Synthesis of Pedestrian Locomotion, ACCV 2020
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction，ECCV2020
SimAug: Learning Robust Representations from 3D Simulation for Pedestrian Trajectory Prediction inUnseen Cameras
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human TrajectoryPrediction,2020 CVPR,
Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision
PIE:ALarge-Scale Dataset and Models for Pedestrian Intention Estimation and Trajectory Prediction
STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction, 2019 ICCV
Trajectory Prediction by Coupling Scene-LSTM with Human Movement LSTM, 2019 ISVC
SEABIG:A Deep Learning-Based Method for Location Prediction in Pedestrian Semantic Trajectories
A novel model based on deep learning for Pedestrian detection and Trajectory prediction
Pedestrian Trajectory Prediction Using a Social Pyramid, 2019 PRICAI
Human Trajectory Prediction using Adversarial Loss, 2019(from Alahi, conference unknown fornow
Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs
Peeking into the Future: Predicting Future Person Activities and Locations in Videos
Future Person Localization in First-Person Videos, 2018 CVPR
Move, Attend and Predict: Anattention-based neural model for people's movement prediction, 2018 PatternRecognition Letters
Group LSTM: Group Trajectory Prediction in Crowded Scenarios,2018 ECCV Workshop
Pedestrian Trajectory Prediction in Extremely Crowded Scenarios, 2019 Sensors (journal)
The Simpler the Better: Constant Velocity for Pedestrian Motion Prediction, 2019 SR-LSTM:State Refinement for LSTM towards Pedestrian Trajectory Prediction, 2019 CVPR
Situation-Aware Pedestrian Trajectory Prediction with Spatio-Temporal Attention Model, 2019 ComputerVision Winter Workshop (cvw) Depth Information Guided Crowd Counting for Complex Crowd Scenes, 2018
GD-GAN: Generative Adversarial Networks for Trajectory Prediction and Group Detection in Crowds, 2018 ACCV
Tracking by Prediction: A Deep Generative Model for Mutli-Person Localisation and Tracking, 2018 WACV
“Seeing is Believing”: Pedestrian Trajectory Forecasting Using Visual Frustum of Attention, 2018 WACV
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks, 2018 CVPR
Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty, 2018 CVPR
Encoding Crowd Interaction with Deep Neural Network for Pedestrian Trajectory Prediction, 2018 CVPR
Scene-LSTM: A Model for Human Trajectory Prediction, 2018 ArXiv
Bi-prediction: pedestrian trajectory prediction based on bidirectional LSTM classification, 2017 DICTA
Human Trajectory Prediction using Spatially aware Deep Attention Models, 2017 arxiv
Soft + Hardwired Attention: An LSTM Framework for Human Trajectory Prediction and Abnormal Event Detection, 2017 arxiv
Forecasting Interactive Dynamics of Pedestrians with Fictitious Play, 2017 CVPR
Social LSTM: Human Trajectory Prediction in Crowded Spaces, 2016 CVPR
STF-RNN: Space Time Features-based Recurrent Neural Network for predicting People Next Location, 2016 SSCI
PTNet: Physically Feasible Vehicle Trajectory Prediction, NeurIPS ML4AD Workshop
Injecting Knowledge in Data-driven Vehicle Trajectory Predictors, 2021 Transportation research part C
Multiple Futures Prediction, 2019 NeurIPS
Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs, 2019 arXiv
RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs, 2019 ACM CSCS
TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions, 2019 CVPR
Multi-Step Prediction of Occupancy Grid Maps with Recurrent Neural Networks, 2019 CVPR
Argoverse: 3D Tracking and Forecasting With Rich Maps, 2019 CVPR
Robust Aleatoric Modeling for Future Vehicle Localization, 2019 CVPR
Convolutional Social Pooling for Vehicle Trajectory Prediction
Trajectory-Prediction with Vision: A Survey
Spatio-Temporal Trajectory Similarity Measures: A Comprehensive Survey and Quantitative Study
Multimodal Trajectory Prediction: A Survey
1. Summary of classical methods (including physics-based, machine learning, deep learning, reinforcement learning)
Vehicle dynamics and external disturbance estimation for vehicle path prediction
Reducing navigation errors by planning with realistic vehicle model
Situation assessment of an autonomous emergency brake for arbitrary vehicle-to-vehicle collision scenarios
Cooperative path prediction in vehicular environments
Model-based threat assessment for avoiding arbitrary vehicle collisions
An adaptive peer-to-peer collision warning system
A multilevel collision mitigation approach-its situation assessment, decision making, and performance tradeoffs
Real time trajectory prediction for collision risk estimation between vehicles
Recognition of dangerous situations within a cooperative group of vehicles
IMM object tracking for high dynamic driving maneuvers
Switched kalman filterinteracting multiple model algorithm based on optimal autoregressive model for manoeuvring target trackin
Object tracking in urban intersections based on active use of a priori knowledge: Active interacting multi model filter
A method for connected vehicle trajectory prediction and collision warning algorithm based on v2v communication
Interaction-aware motion prediction for autonomous driving:Amultiple model Kalman filtering scheme
Monte Carlo road safety reasoning
Comparison of Markov chain abstraction and monte carlo simulation for the safety assessment of autonomous cars
Driver intention-based vehicle threat assessment using random forests and particle filtering
Trajectory planning and safety assessment of autonomous vehicles based onmotion prediction and model predictive control
A Bayesian nonparametric approach to modelingmobility patterns
A Bayesian nonparametric approach to modeling motion patterns
Online maneuver recognition and multimodal trajectory prediction for intersection assistance using non-parametric regression
Probabilistic analysis of dynamic scenes and collision risks assessment to improve driving safety
Unfreezing the robot: Navigation in dense, interacting crowds
Modeling multi-vehicle interaction scenarios using Gaussian random field
Motion prediction for moving objects: A statistical approach
Long-term vehicle motion prediction
Using support vector machines for lane-change detection
Learning-based approach for online lane change intention prediction
Using support vectormachines and Bayesian filtering for classifying agent intentions at road intersections
Threat assessment design for driver assistance system at intersections
Hidden Markov Model
Probabilistic analysis of dynamic scenes and collision risks assessment to improve driving safety
Next place prediction using mobility Markov chains
Improved driving behaviors prediction based on fuzzy logic-hidden Markov model (fl-hmm)
Continuous driver intention recognition with hiddenMarkov models
A self-adaptive parameter selection trajectory prediction approach via hidden Markov models
Decision-making and planning method for autonomous vehicles based on motivation and risk assessment
How would surround vehicles move? A unified framework for maneuver classification and motion prediction
Research on traffic vehicle behavior prediction method based on game theory and hmm
Learning driver behavior models from traffic observations for decision making and planning
An integrated approach to maneuver-based trajectory prediction and criticality assessment in arbitrary road environments
A game-theoretic approach to replanning-aware interactive scene prediction and planning
Probabilistic intention prediction and trajectory generation based on dynamic Bayesian networks
A dynamic Bayesian network for vehicle maneuver prediction in highway driving scenarios: Framework and verification
Pedestrian trajectory prediction combining probabilistic reasoning and sequence learning
A recurrent neural network solution for predicting driver intention at unsignalized intersections
Long short termmemory for driver intent prediction
Generalizable intention prediction of human drivers at intersections
An LSTM network for highway trajectory prediction
Online vehicle trajectory prediction using policy anticipation network and optimization-based context reasoning
Naturalistic driver intention and path prediction using recurrent neural networks
Sequence-to-sequence prediction of vehicle trajectory via lstm encoder-decoder architecture
Personalized vehicle trajectory prediction based on joint time-series modeling for connected vehicles
Argoverse: 3D tracking and forecasting with rich maps
Multimodal trajectory predictions for urban environments using geometric relationships between a vehicle and lanes
Modeling vehicle interactions via modified lstm models for trajectory prediction
Predicting vehicle behaviors over an extended horizon using behavior interaction network
Intention-aware long horizon trajectory prediction of surrounding vehicles using dual lstm networks
Multi-modal trajectory prediction of surrounding vehicles with maneuver based LSTMS
Rnn-based path prediction of obstacle vehicles with deep ensemble
Multiple futures prediction
A recurrent attention and interaction model for pedestrian trajectory prediction
Vehicle motion prediction at intersections based on the turning intention and prior trajectories model
Convolutional neural network for trajectory prediction
Covernet: Multimodal behavior prediction using trajectory sets
Deep kinematic models for kinematically feasible vehicle trajectory predictions
Multimodal trajectory predictions for autonomous driving using deep convolutional networks
Predicting motion of vulnerable road users using highdefinition maps and efficient convnets
Uncertainty-aware short-term motion prediction of traffic actors for autonomous driving
Multiple trajectory prediction with deep temporal and spatial convolutional neural networks
A lane-changing prediction method based on temporal convolution network
Mantra: Memory augmented networks for multiple trajectory prediction
Home: Heatmap output for future motion estimation
Tpcn: Temporal point cloud networks for motion forecasting
Convolutional social pooling for vehicle trajectory prediction
Traphic: Trajectory prediction in dense and heterogeneous traffic using weighted interactions
Motion trajectory prediction based on a CNN-LSTM sequential model
The importance of prior knowledge in precise multimodal prediction
Desire: Distant future prediction in dynamic scenes with interacting agents
Rules of the road: Predicting driving behavior with a convolutional model of semantic interactions
Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction
Multi-head attention based probabilistic vehicle trajectory prediction Attention based vehicle trajectory prediction
Trajectory prediction for autonomous driving based on multi-head attention with joint agent-map representatio
Transformer networks for trajectory forecasting
Multi-modal motion prediction with transformer-based neural network for autonomous driving
End-to-end contextual perception and prediction with interaction transformer
Scene transformer:A unified multi-task model for behavior prediction and planning
Multimodal motion prediction with stacked transformers
Trajectron: Dynamically-feasible trajectory forecasting with heterogeneous data
Graph neural networks for modelling traffic participant interaction
Grip: Graph-based interaction-aware trajectory prediction
Grip++: Enhanced graph-based interaction-aware trajectory prediction for autonomous driving SCALE-Net: Scalable vehicle trajectory prediction network under random number of interacting vehicles via edge-enhanced graph convolutional neural network
Social-STGCNN: A social spatio-temporal graph convolutional neural network for human trajectory prediction
Forecasting trajectory and behavior of road-agents using spectral clustering in graph-LSTMS
Gisnet: Graph-based information sharing network for vehicle trajectory prediction
Vectornet: Encoding hd maps and agent dynamics from vectorized representation
Learning lane graph representations for motion forecasting
Tnt: Target-driven trajectory prediction
Densetnt: End-to-end trajectory prediction from dense goal sets
Lanercnn: Distributed representations for graph-centric motion forecasting
Stgat: Modeling spatialtemporal interactions for human trajectory prediction
Stochastic trajectory predictionwith social graph network
Learning to predict vehicle trajectories with model-based planning
Sequence-to-sequence prediction of vehicle trajectory via lstm encoder decoder architecture
Multi-modal trajectory prediction of surrounding vehicles with maneuver based LSTMS
Multiple futures prediction
Rules of the road: Predicting driving behavior with a convolutional model of semantic interactions
Social gan: Socially acceptable trajectories with generative adversarial networks
Tppo: A novel trajectory predictor with pseudo oracle
Conditional generative neural system for probabilistic trajectory prediction
Sophie: An attentive gan for predicting paths compliant to social and physical constraints
Vehicle trajectory prediction using gan
Multi-agent tensor fusion for contextual trajectory prediction
Multi-vehicle collaborative learning for trajectory prediction with spatio-temporal tensor fusion
R2p2: A reparameterized pushforward policy for diverse, precise generative path forecasting
Implicit latent variable model for scene-consistent motion forecasting
Maximum margin planning
Inverse reinforcement learning through structured classification
Learning autonomous driving styles and maneuvers from expert demonstration
Maximum entropy inverse reinforcement learning
Learning to drive using inverse reinforcement learning and deep q-networks
Probabilistic prediction of interactive driving behavior via hierarchical inverse reinforcement learning
Modeling driver behavior from demonstrations in dynamic environments using spatiotemporal lattices
Learning from naturalistic driving data for human-like autonomous highway driving
Efficient samplingbased maximum entropy inverse reinforcement learning with application to autonomous driving
Trajectory forecasts in unknown environments conditioned on grid-based plans
Accelerated inverse reinforcement learning with randomly pre-sampled policies for autonomous driving reward design
Learning trajectory prediction with continuous inverse optimal control via langevin sampling of energy-based models
Driving behavior modeling using naturalistic human driving data with inverse reinforcement learning
Imitating driver behavior with generative adversarial networks
Infogail: Interpretable imitation learning from visual demonstrations
Modeling human driving behavior through generative adversarial imitation learning
Trajgail: Generating urban vehicle trajectories using generative adversarial imitation learning
Deep inverse reinforcement learning for behavior prediction in autonomous driving: Accurate forecasts of vehicle motion
Advanced planning for autonomous vehicles using reinforcement learning and deep inverse reinforcement learning
Large-scale cost function learning for path planning using deep inverse reinforcement learning
Inverse reinforcement learning via neural network in driver behavior modeling
Off-road autonomous vehicles traversability analysis and trajectory planning based on deep inverse reinforcement learning
Incorporating multi-context into the traversability map for urban autonomous driving using deep inverse reinforcement learning
A Survey on Trajectory-Prediction Methods for Autonomous Driving
- Decompose More and Aggregate Better: Two Closer Looks at Frequency Representation Learning for Human Motion Prediction. Paper
- DeFeeNet: Consecutive 3D Human Motion Prediction with Deviation Feedback. Paper arXiv
- EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning. Paper arXiv Code
- FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-tail Trajectory Prediction. Paper arXiv Code Website
- FJMP: Factorized Joint Multi-Agent Motion Prediction over Learned Directed Acyclic Interaction Graphs. Paper arXiv
- IPCC-TP: Utilizing Incremental Pearson Correlation Coefficient for Joint Multi-Agent Trajectory Prediction. Paper arXiv
- Leapfrog Diffusion Model for Stochastic Trajectory Prediction. Paper arXiv Code
- MotionDiffuser: Controllable Multi-Agent Motion Prediction using Diffusion. Paper
- Planning-oriented Autonomous Driving. Paper arXiv Code Website
- ProphNet: Efficient Agent-Centric Motion Forecasting with Anchor-Informed Proposals. Paper arXiv
- Query-Centric Trajectory Prediction. Paper
- Stimulus Verification is a Universal and Effective Sampler in Multi-modal Human Trajectory Prediction. Paper
- Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion. Paper arXiv Website
- Trajectory-Aware Body Interaction Transformer for Multi-Person Pose Forecasting. Paper arXiv Code
- Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction. Paper arXiv Code
- Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction. Paper arXiv Code
- ViP3D: End-to-end Visual Trajectory Prediction via 3D Agent Queries. Paper arXiv Website
- Weakly Supervised Class-agnostic Motion Prediction for Autonomous Driving. Paper
- Learning Heterogeneous Interaction Strengths by Trajectory Prediction with Graph Neural Network. OpenReview arXiv
- Stochastic Multi-Person 3D Motion Forecasting. OpenReview
- Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning. arXiv
- Safety-compliant Generative Adversarial Networks for Human Trajectory Forecasting. arXiv
- Wayformer: Motion Forecasting via Simple & Efficient Attention Networks. arXiv
- Contact-aware Human Motion Forecasting. OpenReview arXiv Code
- Forecasting Human Trajectory from Scene History. OpenReview arXiv
- Interaction Modeling with Multiplex Attention. OpenReview arXiv
- Motion Forecasting Transformer with Global Intention Localization and Local Movement Refinement. OpenReview arXiv Code
- Action-based Contrastive Learning for Trajectory Prediction. arXiv
- AdvDO: Realistic Adversarial Attacks for Trajectory Prediction. arXiv
- Aware of the History: Trajectory Forecasting with the Local Behavior Data. arXiv Code
- Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors arXiv Code Website
- D2-TPred: Discontinuous Dependency for Trajectory Prediction under Traffic Lights. arXiv Code
- Entry-Flipped Transformer for Inference and Prediction of Participant Behavior. arXiv
- Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting. arXiv
- Human Trajectory Prediction via Neural Social Physics. arXiv Code
- Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction. arXiv Code Website
- Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge for Human Motion Prediction. arXiv
- Polarimetric Pose Prediction. arXiv
- PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map. arXiv Code
- Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction. arXiv Code
- Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimatio. arXiv Code Website
- Social ODE: Multi-Agent Trajectory Forecasting with Neural Ordinary Differential Equations.
- Social-SSL: Self-Supervised Cross-Sequence Representation Learning Based on Transformers for Multi-Agent Trajectory Prediction. Paper Code
- SocialVAE: Human Trajectory Prediction using Timewise Latents. arXiv Code
- ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal Feature Learning. arXiv Code
- View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums. arXiv
- Adaptive Trajectory Prediction via Transferable GNN. arXiv Paper
- ATPFL: Automatic Trajectory Prediction Model Design Under Federated Learning Framework. Paper
- Convolutions for Spatial Interaction Modeling. arXiv Paper
- End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps. arXiv Paper Code
- Forecasting from LiDAR via Future Object Detection. arXiv Paper Code
- Graph-based Spatial Transformer with Memory Replay for Multi-future Pedestrian Trajectory Prediction. Paper Code
- GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning. arXiv Paper Code
- How Many Observations are Enough? Knowledge Distillation for Trajectory Forecasting. arXiv Paper
- LTP: Lane-Based Trajectory Prediction for Autonomous Driving. Paper
- M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction. arXiv Paper Code
- Neural Prior for Trajectory Estimation. Paper Website
- Non-Probability Sampling Network for Stochastic Human Trajectory Prediction. arXiv Paper Code
- On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles. arXiv Paper Code
- Remember Intentions: Retrospective-Memory-based Trajectory Prediction. arXiv Paper Code
- ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning. Paper Code
- Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion. arXiv Paper Code
- Vehicle Trajectory Prediction Works, But Not Everywhere. arXiv Paper Code
- Whose Track Is It Anyway? Improving Robustness to Tracking Errors With Affinity-Based Trajectory Prediction. Paper Code
- Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction. (CVPR'22 Workshop Precognition: Seeing Through the Future) arXiv Paper
- Importance Is in Your Attention: Agent Importance Prediction for Autonomous Driving. (CVPR'22 Workshop Precognition: Seeing Through the Future) arXiv Paper
- BE-STI: Spatial-Temporal Integrated Network for Class-Agnostic Motion Prediction With Bidirectional Enhancement. Paper Code
- Forecasting Characteristic 3D Poses of Human Actions. arXiv Paper Code
- HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction. Paper Code
- Human Trajectory Prediction With Momentary Observation. Paper
- MotionAug: Augmentation With Physical Correction for Human Motion Prediction. arXiv Paper Code
- Motron: Multimodal Probabilistic Human Motion Forecasting. arXiv Paper Code
- Multi-Objective Diverse Human Motion Prediction With Knowledge Distillation. Paper
- Multi-Person Extreme Motion Prediction. arXiv Paper Code
- Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction. arXiv Paper Code
- Spatial-Temporal Gating-Adjacency GCN for Human Motion Prediction. arXiv Paper
- Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective. arXiv Paper Code
- Weakly-Supervised Action Transition Learning for Stochastic Human Motion Prediction. arXiv Paper Code
- Path-Aware Graph Attention for HD Maps in Motion Prediction. arXiv
- D-CODE: Discovering Closed-form ODEs from Observed Trajectories. Paper Code
- Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion Prediction. Paper Code
- ProtoRes: Proto-Residual Network for Pose Authoring via Learned Inverse Kinematics. Paper Website
- Scene Transformer: A Unified Architecture for Predicting Multiple Agent Trajectories. Paper
- THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling. Paper
- You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction. Paper