awesome-driving-behavior-prediction
A collection of research papers for Driving Behavior Prediction
https://github.com/opendilab/awesome-driving-behavior-prediction
Last synced: 6 days ago
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Dataset
- Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset
- Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset
- Argoverse: 3D tracking and forecasting with rich maps
- INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps
- The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems
- NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles
- Argoverse: 3D tracking and forecasting with rich maps
- The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections
- The rounD Dataset: A Drone Dataset of Road User Trajectories at Roundabouts in Germany
- INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps
- The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems
- The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections
- The rounD Dataset: A Drone Dataset of Road User Trajectories at Roundabouts in Germany
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Survey
- Social Interactions for Autonomous Driving: A Review and Perspectives
- Human motion trajectory prediction: a survey
- Social Interactions for Autonomous Driving: A Review and Perspectives
- Human motion trajectory prediction: a survey
- Deep learning-based vehicle behavior prediction for autonomous driving applications: a review
- Deep learning-based vehicle behavior prediction for autonomous driving applications: a review
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Paper
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CVPR
- Trafficpredict: Trajectory prediction for heterogeneous traffic-agents
- Apolloscape Trajectory
- Trafficpredict: Trajectory prediction for heterogeneous traffic-agents
- Apolloscape Trajectory
- MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction
- Multimodal Motion Prediction with Stacked Transformers
- VectorNet: Encoding HD maps and agent dynamics from vectorized representation
- MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction
- Multimodal Motion Prediction with Stacked Transformers
- PRECOG: Prediction conditioned on goals in visual multi-agent settings
- nuScenes
- Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
- VectorNet: Encoding HD maps and agent dynamics from vectorized representation
- TITAN: Future forecast using action priors
- TITAN: Future forecast using action priors
- TITAN
- nuScenes
- Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
- Neighborhood LSTM : Human trajectory Prediction in Crowded Spaces
- EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning
- TNT: Target-driveN Trajectory Prediction
- Neighborhood LSTM : Human trajectory Prediction in Crowded Spaces
- TNT: Target-driveN Trajectory Prediction
- EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning
- DROGON: A Trajectory Prediction Model based on Intention-Conditioned Behavior Reasoning
- KITTI
- DROGON: A Trajectory Prediction Model based on Intention-Conditioned Behavior Reasoning
- KITTI
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NeurIPS
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Others
- Predicting vehicle behaviors over an extended horizon using behavior interaction network
- Uncertainty-aware driver trajectory prediction at urban intersections
- Socially-Compatible Behavior Design of Autonomous Vehicles with Verification on Real Human Data
- Social behavior for autonomous vehicles
- Socially-Compatible Behavior Design of Autonomous Vehicles with Verification on Real Human Data
- Social behavior for autonomous vehicles
- Multimodal interaction-aware motion prediction for autonomous street crossing
- Long-term occupancy grid prediction using recurrent neural networks
- Multimodal interaction-aware motion prediction for autonomous street crossing
- Long-term occupancy grid prediction using recurrent neural networks
- Planning for autonomous cars that leverage effects on human actions
- Predicting vehicle behaviors over an extended horizon using behavior interaction network
- Uncertainty-aware driver trajectory prediction at urban intersections
- Planning for autonomous cars that leverage effects on human actions
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IROS
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ECCV
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AAAI
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CORL
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T-ITS
- Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware Probabilistic Prediction
- Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware Probabilistic Prediction
- Naturalistic driver intention and path prediction using recurrent neural networks
- How Would Surround Vehicles Move? A Unified Framework for Maneuver Classification and Motion Prediction
- Naturalistic driver intention and path prediction using recurrent neural networks
- How Would Surround Vehicles Move? A Unified Framework for Maneuver Classification and Motion Prediction
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ITSC
- GRIP++: Enhanced Graph-based Interaction-aware Trajectory Prediction for Autonomous Driving
- GRIP++: Enhanced Graph-based Interaction-aware Trajectory Prediction for Autonomous Driving
- Relational Recurrent Neural Networks For Vehicle Trajectory Prediction
- A framework for probabilistic generic traffic scene prediction
- Multiple Model Unscented Kalman Filtering in Dynamic Bayesian Networks for Intention Estimation and Trajectory Prediction
- Relational Recurrent Neural Networks For Vehicle Trajectory Prediction
- A framework for probabilistic generic traffic scene prediction
- Multiple Model Unscented Kalman Filtering in Dynamic Bayesian Networks for Intention Estimation and Trajectory Prediction
- Probabilistic Prediction of Interactive Driving Behavior via Hierarchical Inverse Reinforcement Learning
- Probabilistic Prediction of Interactive Driving Behavior via Hierarchical Inverse Reinforcement Learning
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IV
- Data Driven Prediction Architecture for Autonomous Driving and its Application on Apollo Platform
- Multi-modal probabilistic prediction of interactive behavior via an interpretable model
- Data Driven Prediction Architecture for Autonomous Driving and its Application on Apollo Platform
- Multi-modal probabilistic prediction of interactive behavior via an interpretable model
- AGen: Adaptable generative prediction networks for autonomous driving
- Probabilistic Prediction of Vehicle Semantic Intention and Motion
- Multi-Modal Trajectory Prediction of Surrounding Vehicles with Maneuver based LSTMs
- Sequence-to-Sequence Prediction of Vehicle Trajectory via LSTM Encoder-Decoder Architecture
- AGen: Adaptable generative prediction networks for autonomous driving
- Probabilistic Prediction of Vehicle Semantic Intention and Motion
- Multi-Modal Trajectory Prediction of Surrounding Vehicles with Maneuver based LSTMs
- Sequence-to-Sequence Prediction of Vehicle Trajectory via LSTM Encoder-Decoder Architecture
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arXiv
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