Determine and Overcome Challenges that Cause Failure in the Automatic Braking System in Driverless Cars

Abstract

The automatic braking system of cars relies on remote infrared ray object detection, this research focuses on the applied results of a hand-made infrared remote sensing device and obtains practical results of the efficiency of the remote infrared sensing device that is used now on the self-braking systems, in different weather conditions and the position of the Sun in the sky (intensity of Sunray) as well as various variable such as the colour and temperature of the obstacle to improving this device to be able to do its function properly without car accidents, in the meantime the electronic system of the automatic braking system must be connected to the speedometer device of the car to make the car brake at high speeds for obstacle objects from greater distances, and reduce that distance at lower speeds. If the car was moving at high speed, even braking the vehicle a few meters away from the obstacle objects may not help to prevent the accident because the vehicle will keep moving and collide with the obstacle objects due to the momentum generated in the material of the car at high speed, adding a camera and computer and an artificial intelligence program to diagnose objects in the used system could reduce errors and malfunctions and avoid accidents. Considering the light polarization features in the used infrared ray of the automatic braking system via an added polarization filter in the emitter and the same sort of filter in the receiver (infrared sensor), to receive the same angle of the polarized infrared ray, to identify the used infrared ray of the same car strictly, and to separate the rest of the received infrared rays either from the artificial or natural sources in the infrared ray sensor.

Purpose: Determine the factors that cause failure in the automatic braking system to improve this device to be able to do its function properly without car accidents.

Method: Collect data concerning the remote infrared ray object detection device in different weather conditions to improve this system's recently used technique to function properly without car accidents.

Results: The used frequencies in the remote infrared sensing device are greatly affected by the surrounding circumstances because the used frequencies are very close to visible ray frequencies. Therefore, changing the frequencies of the used infrared rays of this system to the longer wavelength could reduce the effects of the surrounding circumstances, and reducing the rates of absorption and refraction rates through different density media could increase the efficiency of the remote infrared ray and improve the efficiency of this device in the automatic braking system, preventing car accidents caused by a failure in the remote infrared ray object detection device.