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Autonomous Racecar - Racecars2.zip

  • Author(s): Liao, Aaron
  • Choi, Michael
  • Andrews, Julian
  • Phan, Kevin
  • et al.
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Abstract

Objective

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

 

Background

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

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UCI Dean's Choice Award 2018

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