Publication

Abstract : One of the world's most public serious issues is road fatalities. Every year, millions of people die or suffer non-fatal injuries or impairments in car accidents worldwide. Using helmets, wearing seat belts, avoiding drunk driving, and adhering to traffic laws can all help to reduce fatalities and injuries. Road accidents are caused by driver's poor decisions or actions while driving. Furthermore, accidents can occur as a result of vehicle component failures or the drivers' health. Controlling speed and monitoring the health of the driver/passengers can help to improve vehicle and passenger safety. Automobiles may be equipped with driver/passenger health monitoring systems with sensors to help prevent accidents. The proposed work suggests a sensor-based prototype for autonomous vehicles with smart seat belts, and road rules such as speed control, stopping the vehicle when the traffic signal shows red light, parking/no parking control, and horn/no horn control systems using Radio Frequency (RF) communication. The prototype developed works in both manual and autonomous modes. Furthermore, this article also suggests including the YOLOR (You Only Learn One Representation) for real-time obstacle detection for self-driving and autonomous cars, as YOLOR demonstrates 5 percent higher performance than YOLOv4 (You Only Look Once version 4).