Accident Prevention For Autonomous Vehicle

Abstract

Autonomous vehicles, also known as self-driving cars, are a rapidly developing technology that promises to revolutionize the way we travel. These vehicles use a combination of sensors, cameras, and machine learning algorithms to perform navigation, obstacle avoidance, and decision-making tasks. This advanced technology allows vehicles to operate without human intervention, making them a safer and more efficient alternative to traditional vehicles. One of the key benefits of autonomous vehicles is their potential to reduce the number of accidents caused by human error. According to statistics, the majority of car accidents are caused by factors such as distracted driving, driving under the influence, and speeding. Autonomous vehicles have the potential to eliminate these human errors, making the roads safe for everyone. In addition to improving road safety, autonomous vehicles can also improve traffic flow. By eliminating the need for human drivers, autonomous vehicles can reduce congestion, improve travel times, and reduce emissions. This can have a significant impact on the environment and the economy, as people will be able to travel more efficiently and get to their destinations faster. Autonomous vehicles can also provide increased mobility to people who cannot drive, such as the elderly and people with disabilities. This can improve their quality of life and give them greater independence. However, there are also challenges associated with the deployment of autonomous vehicles. These include technical issues such as ensuring that the technology is safe and reliable, regulatory issues such as obtaining government approval, and societal issues such as public acceptance and trust. This model works when the vehicle is in traffic and also while parking.