Self-Driving Cars: A Platform for Learning and Research
Jacob Newman, Zheng Sun, Dah-Jye Lee
Abstract
We present a self-driving car platform that can be used by both students and researchers. Students can use the platform to learn about the technology and challenges that exist in the self-driving car industry, while researchers can use it to test and iterate through potential solutions to self-driving car challenges. The platform is low-cost and small-scale, which makes it a desirable tool for both research and learning. The main technologies used on autonomous vehicles, such as computer vision and object detection, are implemented on this platform. We begin with a high-level overview of how self-driving cars work. Then we present the platform we have created, followed by a description of how it compares with industry level self-driving cars. Finally, we discuss the future work of this research.