Implication of machine learning in automobile for enhancing passenger and pedestrian safety

Machine learning in automobile for enhancing passenger and pedestrian safety is concerned with developing an algorithm for detection of pedestrian ahead of the vehicle and once a pedestrian is located in a collision prone zone corresponding to the relative distance and relative speed of the vehicle and the pedestrian the time to collision is calculated and a risk factor is determined using Fuzzy controller, a warning signal is generated on the instrument panel to make the driver alert of the oncoming collision. In response to the driver action, the braking is actuated automatically or it supports the driver to avoid hitting the pedestrian and thereby safeguarding the pedestrian as well as occupants of the vehicle