Autonomous Racecar - Racecars2.zip
- Author(s): Liao, Aaron
- Choi, Michael
- Andrews, Julian
- Phan, Kevin
- et al.
Develop robust software on a modular platform to run on an embedded real-time system Display metrics like telen1et1y on a web interface Implement adaptability mechanisms through wall-following and obstacle avoidance algorithms Utilize information from multiple onboard sensors for on-the-fly decision making
Given that human error can be considered a major factor in most vehicular accidents, the use of autonomous vehicles stands to improve the safety of transportation. The preceding project relied on turn-by-turn directions to navigate without adapting to track conditions or obstacles.
Faculty Adviser: Professor Mohammad Al Faruque
Many UC-authored scholarly publications are freely available on this site because of the UC Academic Senate's Open Access Policy. Let us know how this access is important for you.