A Vehicle Braking System based on 3D Camera

Abstract

: One of important feature in a vehicle is the braking system. It is made for a safety device during driving this also included for operation of a heavy vehicle namely a forklift. However, forklift accident has a higher annually. The human factor is considered the main cause of the accident due to the unconsciousness condition while driving. This investigation emphases on applying an intelligent device that can classify objects as well as measure distances in front of an object to decide the braking action. The method of this study process pictures derived from a stereo camera that employed a neural network algorithm. A mini-computer is implanted with the algorithm can classify the objects in front of vehicles. Later on, the two sets of camera position that capture images that can be used to calculate the distance of objects from the camera. Furthermore, process of decelerating signal depends on the distance. The categorization and the distance measurement needs around 300 ms. Moreover, braking action is decided upon the intensity. The higher value means hard stopping meanwhile lower value represents the slow stopping.