Deep learning for object detection under rainy conditions

• Main Author: Chin, Zhuo Sheng
• Other Authors: Teoh Eam Khwang
• Format: Final Year Project
• Language: English
• Published: 2018
• Subjects: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision; DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• Online Access: http://hdl.handle.net/10356/74597
• Institution: Nanyang Technological University

Fast, robust and accurate object detection are required for autonomous driving. While the main technology used for obstacle detection and avoidance is RADAR and LIDAR, LIDAR is affected by rain and snow, while RADAR resolution is low due to its longer wavelength. Vision based object detection is wid...