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.
Autonomous vehicles recently show great possibilities to improve transportation safety and efficiency. This project seeks to expand on the current generation of autonomous vehicles by making them fully actuated with four in-wheel driving motors and two steering motors. To achieve autonomous driving, various perceptions systems including Radar, camera, and ultrasonic sensors are required. Ultrasonic sensors have been tested and partly installed on the vehicle. Some test results and sensor localizations have been explored. The future work includes the completion of all the ultrasonic sensors installation on the vehicle and integration with vehicle control algorithms.