
Modern automakers heavily rely on AI to create smarter vehicles, increase assembly efficiency with robots and exoskeletons, and improve supply chain management. Driver assistance technology is built on AI. Artificial Intelligence in Automotive makes driving less stressful and more secure by assisting with highway navigation, detecting driver fatigue, and identifying critical car flaws. Intelligent AI systems can forecast engine failure and improve battery performance based on how drivers operate their automobiles by integrating IoT sensors into their vehicles. The need for AI-enabled insurance, which can speed up claim settlements, is also rising.
By assessing diverse road conditions, Artificial Intelligence in Automotive can assist drivers in making better navigational decisions. Based on information regarding local road closures, accidents, traffic jams, construction projects, and road conditions, modern AI-powered navigation systems can recommend better routes. Digital twins are a common tool used by contemporary AI automakers in their production facilities to expedite the design process by simulating the effects of various design choices on the performance of the vehicle. Engineering and design professionals can gain insight into how their concepts translate into vehicle performance by feeding machine learning systems historical and sensor data. Additionally, this technology helps reduce the expense of testing actual prototypes.