Abstract
The project aims to build a monocular vision autonomous car prototype using Raspberry Pi as a processing chip.
An HD camera along with an ultrasonic sensor is used to provide necessary data from the real world to the car.
The car is capable of reaching the given destination safely and intelligently thus avoiding the risk of human errors.
Many existing algorithms like lane detection, obstacle detection is combined together to provide the necessary control to the car.
Modify a RC car to handle three tasks: self-driving on the track, stop sign and traffic light detection, and front collision avoidance.
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