Millimeter wave radar path optimization and obstacle avoidance technology research in UAV navigation systems
Yanhui Ding, Dongqiu Yang · 2025
To address the issues of insufficient safety margin and high energy consumption in autonomous obstacle avoidance of unmanned aerial vehicles (UAVs), a multi-objective optimization-based obstacle avoidance system is designed. The system uses an improved RRT algorithm for path planning and integrates 77GHz millimeter wave radar data for dynamic obstacle avoidance. The system is validated on a DJI M600 Pro experimental platform, and the results show that the system achieves a path planning success rate of 99.2% at a flight speed of 8m/s, an obstacle response time of 275ms, and an energy efficiency improvement of 23% compared to traditional methods, balancing safety and efficiency.