LiDARFlow: Real-Time Panel-Based MAV Guidance in Unknown Environments
This work presents a guidance algorithm for micro aerial vehicles (MAVs) to navigate unknown, cluttered environments using only onboard LiDAR sensing. It combines a smooth guiding vector field with an obstacle avoidance method based on modeling obstacles as panels. The system generates collision-free flight paths in real-time, making it lightweight enough for onboard implementation.