Autonomous Driving "Steering based predictive model" using AI&ML PBL-2

Research on the subject of autonomous vehicles has been going on for decades. Although much progress in enhancing comfort and safety has been achieved, driver-less cars for the public are not a reality yet. There are different issues to be solved.
On the technical side the lack of precise and at the same time inexpensive solutions for locating the vehicle position is a problem. Reliable operation of certain sensors can be ensured only in clean weather. There are sensors with performance beyond human senses, however evaluating the measurements is a hard task and far not as effective as vision-based navigation of human drivers.
One of the most important legal obstacles is that vehicles without mentally and physically capable drivers are generally not permitted in public traffic. With increasing automation level of vehicles participating in road traffic the number of human causalities shows decrease. Nowadays, as the number of drivers suffering fatal accidents dropped to a level comparable of pedestrians, research towards active and passive systems for protecting them came into focus.
Recent years basic Advanced Driver Assistance Systems (ADAS) functions such as Lane Keeping and Adaptive Cruise Control became common in lower middle-class cars, making vehicle automation available to a wider public.