Autonomous Driving Tool Development and Visualization
Conference: MEMAT 2022 - 2nd International Conference on Mechanical Engineering, Intelligent Manufacturing and Automation Technology
01/07/2022 - 01/09/2022 at Guilin, China
Proceedings: MEMAT 2022
Pages: 5Language: englishTyp: PDF
Authors:
Hu, Yuepeng (School of Engineering, North Carolina State University, Raleigh, USA)
Qin, Dawei (School of Engineering, University of Connecticut, Storrs, USA)
Wang, Yuzhe (P.C. Rossin College of Engineering & Applied Science, Lehigh University, Bethlehem, USA)
Cui, Yucheng (School of Engineering, University of Utah, Salt Lake, USA)
Zhang, Hengrui (High School, Chengdu NO.7 International High School, Chengdu, China)
Abstract:
In recent years, autonomous driving has been a popular and challenging task all over the world; it is a transportation revolution that can bring countless benefits, such as reducing traffic pressure, to society. However, considering the safety of a self-driving car running in various conditions, it is necessary to visualize the path, which may be able to reflect the true situation of the car. Therefore, this paper presents a practical toolbox containing the programs of safe tracking, control, and replan and provides a visualization of a scenario. The main challenges in the task are two parts. On one hand, summarize the program of safe control, planning, and prediction into a library including the client. On the other hand, create a map to anticipate the path of the vehicle. Finally, the experimental program tool is successfully created, and it is feasible to be utilized and customized in the field of path planning.