轨迹预测论文阅读
其他
2021-11-27 01:16:12
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总结
- goal-based methods
首先预测每个 agent 的 endpoint, 然后预测完整的轨迹
2018
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks
2019
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks
PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings
Rules of the Road: Predicting Driving Behavior with a Convolutional Model of Semantic Interactions
Multi-Head Attention for Multi-Modal Joint Vehicle Motion Forecasting
2020
Learning Lane Graph Representations for Motion Forecasting
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
TNT: Target-driveN Trajectory Prediction
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction
CoverNet: Multimodal Behavior Prediction using Trajectory Sets
Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data
The Importance of Prior Knowledge in Precise Multimodal Prediction
2021
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting
Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals
Goal-driven Long-Term Trajectory Prediction
DenseTNT: Waymo Open Dataset Motion Prediction Challenge 1st Place Solution [√]
Scene Transformer: A unified multi-task model for behavior prediction and planning
转载自blog.csdn.net/qq_35632833/article/details/119549845