Date of Award
Drone aircraft -- Automatic control, Drone aircraft -- Control systems -- Design and construction, Optical radar -- Industrial applications
Personal UAV's are experiencing an increase in both functionality and popularity. Consumer-driven markets are encouraging the UAV industry to innovate towards the average user. Despite improvements in user friendliness, cost, and technological capabilities, consumer UAV's are limited by pilot skill and a lack of sensory information. This paper presents two approaches for creating a low-cost, open-source platform capable of enabling a consumer-level UAV to avoid hazards. A single beam LIDAR system and a combined LIDAR-vision system are considered. The LIDAR variant is capable of detecting and avoiding static obstacles in simple environments. The improved LIDAR-vision system is able to detect and avoid moving hazards in complex environments such as a bike path with pedestrian foot traffic. Finally a unified system with improved hardware capabilities is proposed.
Scott, Ryan H., "Autonomous Navigation and Hazard Evasion Platform for Personal UAV's" (2016). University Honors Theses. Paper 344.