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Autonomous Driving and Related Technologies
Author(s) -
Rendong Bai,
Wutthigrai Boonsuk,
Peter P. Liu
Publication year - 2020
Publication title -
papers on engineering education repository (american society for engineering education)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/1-2--32137
Subject(s) - self driving , computer science , control (management) , motion planning , automotive industry , range (aeronautics) , artificial intelligence , kalman filter , real time computing , transport engineering , robot , engineering , aerospace engineering
We’re in the middle of a rapid evolution of the way vehicles are operated on road. Thanks to innovations like 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. Autonomous cars offer many benefits. 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,

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