Night vison with unmanned surface vehicle (USV)

• Main Author: Chew, Marcus Wen Long
• Other Authors: Mao Kezhi
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2022
• Subjects: Engineering::Electrical and electronic engineering::Computer hardware, software and systems
• Online Access: https://hdl.handle.net/10356/157578
• Institution: Nanyang Technological University

For this Final Year Project (FYP), the report focusses on three parts for the research, Unmanned Surface Vessels (USV) navigational and collision avoidance system, night vision and Lidar Technology. The project will be incorporate the use of a Lidar Sensor, which hardware programming, and coding will be involved. The Lidar Sensor that is programmed will be used to conduct several experiment setups, to test the Lidar Sensor for its night vision capabilities and performance. Parameter data will be retrieved from the Lidar Sensor and evaluated.