Background
Autonomous and higly automated driving is an area with high interest in both the public and auto industry. Self-driving cars should be able to exhibit basic driving skills such as staying in its lane and braking at intersections. One of the most important aspects of driving is avoiding collisions in emergency situations. Self-Driving cars need a system that allows them to recognize hazards and react accordingly. The PCAS is an embedded software for self-driving vehicles designed to autonomously detect and prevent pedestrian collisions. Our software uses a camera on the vehicle to detect pedestrians, and will automatically send a brake signal if a pedestrian is detected. Once the pedestrian is no longer in front of the vehicle, the vehicle will automatically start accelerating. Our project aims to improve safety for both drivers and passengers, and prioritizes human life and safety.
