A LiDAR-based UAV system that detects moving points, predicts obstacle trajectories, and integrates those predictions into a 100 Hz MPC planner, achieving 0.97-1.00 simulation success rates and real-world forest flights.
Adoption of unmanned aerial vehicle (uav) imagery in agricultural management: A systematic literature review,
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Flying through cluttered and dynamic environments with LiDAR
A LiDAR-based UAV system that detects moving points, predicts obstacle trajectories, and integrates those predictions into a 100 Hz MPC planner, achieving 0.97-1.00 simulation success rates and real-world forest flights.