June 15, 2019
June 15, 2019
June 19, 2019
Computing and Information Technology
We’re in the middle of a rapid evolution of how vehicles are operated on road. Thanks to innovations such as sensor technology, data analysis, and artificial intelligence, a growing number of companies from outside the traditional automobile industry join the race of building ultimately autonomous vehicles.
In this paper, we conduct a study on self-driving technology. We first explain the benefits of autonomous cars. The primary benefit is that they reduce accidents and save lives. There has been a long history of developing self-driving cars, from Stanford Cart in 1961 to Tesla and Google at present. The differences between Tesla and Google are mainly in two areas, computer vision technology and human car control.
Self-driving is challenging and requires a wide range of technologies, including learning the environment, tracking objects, localization, path planning, and control. We illustrate finding lane lines with computer vision and predicting the location of other vehicles using Kalman filters.
Bai, R., & Boonsuk, W., & Liu, P. P. (2019, June), Autonomous Driving and Related Technologies Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. 10.18260/1-2--32137
ASEE holds the copyright on this document. It may be read by the public free of charge. Authors may archive their work on personal websites or in institutional repositories with the following citation: © 2019 American Society for Engineering Education. Other scholars may excerpt or quote from these materials with the same citation. When excerpting or quoting from Conference Proceedings, authors should, in addition to noting the ASEE copyright, list all the original authors and their institutions and name the host city of the conference. - Last updated April 1, 2015