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Fully-actuated self-driving car

The researchers aim to improve an autonomous car’s navigation of complex traffic networks. The research vehicle has independent steering for the front and rear wheels, increasing agility. The autonomous driving system uses cameras, GPS, ultrasonic sensors, and radar to measure the environment. These measurements inform decisions made by onboard computers. The team focuses on detecting variables, like people, cars, and lane boundaries. This autonomous car differentiates itself from others by using a computer to incorporate data from many sensors into an unusual steering system. The next step is finalizing the vehicle’s reaction to data, in order to achieve automatic parking.

Symposium Participant

Sam Deadrick

Project Details

Symposium Date: Fall 2018

Research Theme: Sustainability

Presentation Type: FURI

Faculty Mentors

  • Yan Chen