笛卡尔坐标系&frenet坐标系: [数学推导]
- Argoverse-motion-forecasting [Download-script]
- nuscenes
- In-house Pedestrian-at-Intersection dataset (PAID)
- INTERACTION-dataset
- Stanford-Drone-dataset-(SDD)
- kaggle-lyft-prediction
- HighD dataset "2018 21st International Conference on Intelligent Transportation Systems (ITSC)" [link] [paper] [github] [format]
- inD dataset [link] [paper]
- round dataset [link] [paper]
- Motion forecasting/prediction
- Trajectory Prediction
- Vehicle behavior prediction
- Occupancy Grid Maps[zhihu]
- BEV(Bird's eye view)
- HD maps
- geographic coordinate system
- "Fast lane changing computations using polynomials" "Proceedings of the 2003 American Control Conference" (2003) [paper]
- "Vehicle trajectory prediction based on motion model and maneuver recognition" (2013 IROS) [paper]
- "A survey on motion prediction and risk assessment for intelligent vehicles"(2014) [paper]
- "Lane Change Scheduling for Autonomous Vehicles"(2016) [paper]
- "Lane-Change Detection Based on Vehicle-Trajectory Prediction" (IEEE Robotics and Automation Letters 2017) [paper]
- "Vehicle trajectory prediction by integrating physics-and maneuver-based approaches using interactive multiple models" (IEEE Transactions on Industrial Electronics 2017) [paper]
- "Probabilistic vehicle trajectory prediction over occupancy grid map via recurrent neural network" (ITSC 2017) [paper]
- "Sequence-to-Sequence Prediction of Vehicle Trajectory via LSTM Encoder-Decoder Architecture"(2018 IEEE Intelligent Vehicles Symposium (IV) 2018) [paper]
- "Convolutional Social Pooling for Vehicle Trajectory Prediction"(CVPR 2018) [paper]
- "Modeling Vehicle Interactions via Modified LSTM Models for Trajectory Prediction" (IEEE Access 2019) [paper]
- "Non-local Social Pooling for Vehicle Trajectory Prediction" (IEEE Intelligent Vehicles Symposium (IV) 2019) [paper]
- "Deep learning-based vehicle behavior prediction for autonomous driving applications: A review" (2020 IEEE Transactions on Intelligent Transportation Systems) [paper]
- "The KITTI dataset" (IJRR 2013) [paper] [website]
- "DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents" (CVPR 2017) [paper] [code]
- "Argoverse: 3D Tracking and Forecasting with Rich Maps" (CVPR 2019) [paper] [code1] [code2] [website] [API]
- "INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps" [paper] [website] [code]
- "TPNet: Trajectory Proposal Network for Motion Prediction" (CVPR 2020) [paper]
- "Learning Lane Graph Representations for Motion Forecasting" (ECCV 2020) [paper] [code]
- "TNT: Target-driveN Trajectory Prediction" (CoRL(Conference on Robot Learning)2020) [zhihu]
- "VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation" (CVPR 2020) [code] [zhihu]
- "Multi-head attention for multi-modal joint vehicle motion forecasting" (ICRA 2020) [paper]
- "MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction" (CVPR 2020) [paper]
- "Reciprocal Learning Networks for Human Trajectory Prediction" (CVPR 2020 human) [paper]
- "MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps" (CVPR 2020) [paper] [code]
- "STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction" (CVPR 2020 human) [paper]
- "Recursive Social Behavior Graph for Trajectory Prediction" (CVPR 2020 human) [paper]
- "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" (CVPR 2020 human) [paper]
- "PnPNet: End-to-End Perception and Prediction with Tracking in the Loop" (CVPR 2020) [paper]
- "The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction" (CVPR 2020 human) [paper] [website] [code]
- "Generative Hybrid Representations for Activity Forecasting with No-Regret Learning" (CVPR 2020 reasoning objects) [paper]
- Average Displacement Error (ADE)
- Final Displacement Error (FDE)
- minADEk & minFDEk :For a set of K predicted trajectories
- Miss Rate (MR)
- TPNet: Trajectory Proposal Network for Motion Prediction [CVPR2020] [paper]
- Multi-Head Attention for Multi-Modal Joint Vehicle Motion Forecasting [ICRA2020] [paper]
- LaneGCN: Learning Lane Graph Representations for Motion Forecasting [ECCV2020] [paper] [code]
- LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting [paper]
- TNT [CVPR2020]
- VectorNet [CVPR2020] [zhihu] [paper] [code]
- Manoeuvre Intention
- intent prediction
- lane change
- "A survey on motion prediction and risk assessment for intelligent vehicles" (2014) [paper]
- "Long short term memory for driver intent prediction" (IEEE Intelligent Vehicles Symposium (IV) 2017) [paper]
- "Generalizable intention prediction of human drivers at intersections" (IEEE Intelligent Vehicles Symposium (IV) 2017) [paper]
- "Convolution neural network-based lane change intention prediction of surrounding vehicles" (ITSC 2017) [paper]
- "Predicting Vehicle Behaviors Over An Extended Horizon Using Behavior Interaction Network" (ICRA 2019) [paper]
- "Continuous Control for Automated Lane Change Behavior Based on Deep Deterministic Policy Gradient Algorithm" [paper]
- "On-Road Vehicle Trajectory Collection and Scene-Based Lane Change Analysis: Part II" [[paper](https://www.sci-hub.ren/10.1109/TITS.2016.2571724]]
- "An ensemble deep learning approach for driver lane change intention inference" [paper]
- "A data-driven lane-changing model based on deep learning" [paper]
- "Simultaneous modeling of car-following and lane-changing behaviors using deep learning" [paper]
- Peeking Into the Future: Predicting Future Person Activities and Locations in Videos [CVPR2019] [paper] [code]
- Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks [CVPR2018] [paper] [code]