Abstract
Abstract: This paper talks about a new way to help cars avoid crashing. We made a smart system that looks at the surroundings and how the driver behaves. By studying how much time is needed to avoid a crash, we created a safety model. We improved this model by adding details about the driver's behavior, making it better at handling different driving situations and giving the right warnings. We tested our system in computer simulations and compared it with others. Our system proved effective in reducing the chance of car crashes. We also collected data to fine-tune and check the system's performance offline. We used a deep neural network with a robotic car in real-time, showing that our system works well in practical situations. In summary, our new collision avoidance system, considering the environment and driver actions, shows promise in preventing car accidents. Testing in simulations and real-life situations proved its effectiveness in making driving safer.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
