Date of Award:
Master of Science (MS)
Electrical and Computer Engineering
Computerized obstacle detection for moving vehicles is becoming more important as vehicle manufacturers make their systems more autonomous and safe. However, obstacle detection must operate quickly in dynamic environments such as driving at highway speeds. A unique obstacle detection system using 3D changes in the environment is proposed. Furthermore, these 3D changes are shown to contain sufficient information for avoiding obstacles. To make the system easy to integrate onto a vehicle, additional processing is implemented to remove unnecessary dependencies. This system provides a method for obstacle detection that breaks away from typical systems to be more efficient.
Cornwall, Chaz, "Event-Based Obstacle Detection with Commercial Lidar" (2022). All Graduate Theses and Dissertations, Spring 1920 to Summer 2023. 8641.
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