Date of Award:
12-2022
Document Type:
Thesis
Degree Name:
Master of Science (MS)
Department:
Electrical and Computer Engineering
Committee Chair(s)
Scott Budge
Committee
Scott Budge
Committee
Reyhan Baktur
Committee
Todd Moon
Abstract
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.
Checksum
b3d0dfdd49e6122b642fec04b7218a09
Recommended Citation
Cornwall, Chaz, "Event-Based Obstacle Detection with Commercial Lidar" (2022). All Graduate Theses and Dissertations, Spring 1920 to Summer 2023. 8641.
https://digitalcommons.usu.edu/etd/8641
Included in
Copyright for this work is retained by the student. If you have any questions regarding the inclusion of this work in the Digital Commons, please email us at .