Our project is inspired by the Formula 1/10 Racing Competition which is an international event that challenges students to design and build 1/10th scale self-driving cars.
Our car uses sensors and onboard computers to navigate from one point to another while avoiding obstacles. Starting with a common RC car chassis, multiple parts were added including cameras, LIDAR, computers and motors.
We use two cameras, providing the car simulated depth perception. This allows the vehicle to determine obstacle distance and when to turn. The LIDAR is the other main sensor, employing a 360-degree spinning laser to measure distance and direction. This allows the vehicle to sense objects and walls in every direction.
The onboard computer receives information from the sensors and makes decisions for the car. These signals are then sent to the two motors controlling the vehicle, one controlling speed and the other steering. Working together, these parts provide information from the environment, allowing the vehicle to make informed decisions in real time to avoid obstacles.