Deep learning for object detection under rainy conditions

Deep learning for object detection under rainy conditions

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...

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Bibliographic Details
Main Author: Chin, Zhuo Sheng
Other Authors: Teoh Eam Khwang
Format: Final Year Project (FYP)
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

Internet

http://hdl.handle.net/10356/74597

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