Autonomous Electric Vehicle with Integrated ADAS

This research presents the design, development, and testing of an autonomous electric vehicle (EV) integrated with an Advanced Driver Assistance System (ADAS). The project aims to address major challenges in modern transportation, including road safety, urban congestion, and environmental sustainability. The vehicle was designed with a lightweight steel chassis, a rack-and-pinion steering system, and vacuum-assisted hydraulic disc brakes. A gear ratio of 1:4.2 was implemented to optimize torque and speed balance. The electrical system consists of dual 1200 W motors powered by a lithium-ion battery pack, while the ADAS incorporates LiDAR, ultrasonic sensors, and an Xbox Kinect camera, all controlled through a Raspberry Pi 4. Stress analysis confirmed that the chassis could safely withstand a maximum load of 350 kg with a safety factor of 2.02. Experimental results demonstrated a maximum speed of 90 km/h under normal conditions and 40 km/h under full load, with obstacle detection accuracy within 5%. The results validate the proposed design as a cost-effective and efficient platform for autonomous mobility research. The study highlights the potential of low-cost EV prototypes in academic and industrial applications while identifying opportunities for future improvements in power systems, AI navigation, and suspension design. Keywords— Autonomous Vehicle, Electric Vehicle, ADAS, System Integration, Stress Analysis, Gear Ratio.