An automated braking decision or steering
decision and control framework is proposed in this paper
to avoid pedestrian collisions. Collision avoidance is an
importantprerequisite for safe and automated driving in
modern traffic systems. This paper explores intelligent
and safe obstacle avoidance in complex traffic scenarios
with main focus on pedestrian collision avoidance. The
driver's purpose is important in collision avoidance, when
the driver intends to avoid a collision by relying only on
braking a safe stopping distance is 0.5 meters. But, when
a driver intends to avoid collision by relying only on
steering, for the most part, it is necessary to ensure that
automated braking intervention will not occur.
Obstacle Avoidance, Fuzzy Logic, Pedestrian Protection, Steering Control, Automated Braking, Kalman Filter, ANFIS, Complex Traffic Scenarios.