Journal of Aerospace Engineering
Uncertainty in atmospheric winds represents one of the primary sources of landing error in airdrop systems. In this work, a ground-based LIDAR system samples the wind field at discrete points above the target and transmits real-time data to approaching autonomous airdrop systems. In simulation and experimentation, the inclusion of a light detection and ranging (LIDAR) system showed a maximum of 40% improvement over unaided autonomous airdrop systems. Wind information nearest ground level has the largest impact on improving accuracy.
Cacan, Martin; Scheuermann, Edward; Ward, Michael; Costello, Mark; and Slegers, Nathan, "Utilizing Ground-Based LIDAR Measurements to Aid Autonomous Airdrop Systems" (2017). Faculty Publications - Biomedical, Mechanical, and Civil Engineering. 75.