Samueli School of Engineering

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