4 papers
LTMSformer: A Local Trend-Aware Attention and Motion State Encoding Transformer for Multi-Agent Trajectory Prediction
Yixin Yan, Yang Li, Yuanfan Wang +4
It has been challenging to model the complex temporal-spatial dependencies between agents for trajectory prediction. As each state of an agent is closely related to the states of a…
UAVD-Mamba: Deformable Token Fusion Vision Mamba for Multimodal UAV Detection
Wei Li, Jiaman Tang, Yang Li +3
Unmanned Aerial Vehicle (UAV) object detection has been widely used in traffic management, agriculture, emergency rescue, etc. However, it faces significant challenges, including o…
Post-interactive Multimodal Trajectory Prediction for Autonomous Driving
Ziyi Huang, Yang Li, Dushuai Li +3
Modeling the interactions among agents for trajectory prediction of autonomous driving has been challenging due to the inherent uncertainty in agents' behavior. The interactions in…
Human-aligned Safe Reinforcement Learning for Highway On-Ramp Merging in Dense Traffic
Yang Li, Shijie Yuan, Yuan Chang +4
Most reinforcement learning (RL) approaches for the decision-making of autonomous driving consider safety as a reward instead of a cost, which makes it hard to balance the tradeoff…