An Experimental Platform for Implementing Advanced Algorithms in Scaled Autonomous Cars
Author:
Suresh Babu, Varundev, Computer Engineering - School of Engineering and Applied Science, University of Virginia
Suresh Babu, Varundev, Computer Engineering - School of Engineering and Applied Science, University of Virginia
Advisors:
Lin, Zongli, Department of Electrical and Computer Engineering, University of Virginia
Dugan, Joanne, Department of Electrical and Computer Engineering, University of Virginia
Lin, Zongli, Department of Electrical and Computer Engineering, University of Virginia
Dugan, Joanne, Department of Electrical and Computer Engineering, University of Virginia
Abstract:
Many universities across the world are doing breakthrough research in the field of autonomous cars, but only a few universities have the financial and legal means to operate a full-scale autonomous car. Some institutions have continued to research on autonomous cars using scaled platforms to varying degrees of success, but the question has always remained that these scaled platforms are limited in their capabilities thus limiting their research usefulness. In this thesis, we present a case for implementing high level computer vision based navigation on scaled autonomous cars to prove that the scaled autonomous car platforms are an effective research tool.
Degree:
MS (Master of Science)
MS (Master of Science)
Keywords:
Autonomous Car, Machine Learning, Computer Vision, Robotics, Lane Following
Autonomous Car, Machine Learning, Computer Vision, Robotics, Lane Following
Language:
English
English
Issued Date:
2018/04/23
2018/04/23