1

Learning to Initialize Trajectory Optimization for Vision-Based Autonomous Flight in Unknown Environments
We introduce NEO-Planner, which uses a neural network to initialize trajectory optimization for autonomous drones, cutting computation by 26% without sacrificing quality.
Yicheng Chen, Jinjie Li, Wenyuan Qin, Yongzhao Hua, Xiwang Dong, Qingdong Li
PDF Cite Code Video
Learning to Initialize Trajectory Optimization for Vision-Based Autonomous Flight in Unknown Environments
Adaptively Dynamic RRT*-Connect: Path Planning for UAVs Against Dynamic Obstacles
An RRT-based path planning algorithm enables UAVs to replan safe paths when dynamic threats emerge.
Yicheng Chen, Lingling Wang
Cite DOI Slides
Adaptively Dynamic RRT*-Connect: Path Planning for UAVs Against Dynamic Obstacles