Open AccessResearch on the Development of Autonomous Race Cars And Impact on Self-driving Cars
Author(s) -
Alexander Jiang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1824/1/012009
Subject(s) - self driving , software , aeronautics , race (biology) , car model , engineering , transport engineering , computer science , automotive engineering , sociology , gender studies , programming language
The rise of artificial intelligence has drawn attention to self-driving cars. Although a commercial autonomous vehicle still have not appeared on market, autonomous race cars are already fighting for the podium. One of the leading series is Roborace, a special series under FIA specifically to autonomous racing. Season alpha of the series was held in 2019 with two teams competing, Technical University of Munich and Arrival. Autonomous driving functionality contains a holistic software structure containing multiple individual driving functions. This paper analyzes the software employed by team TUM, a leader in autonomous racing software development, on their Devbot 2.0 racecar. The paper concludes the impact of autonomous racing on commercial self-driving cars along with a suggestion of what else can be done to further improve upon the concept.