Investigation on Centralized and Decentralized Fuzzy Inference Systems for Intelligent Light Illumination in Vehicle Headlights

Abstract

In recent days, the number of road accidents happening at night time has increased and the reasons attributing are inappropriate beam width, beam angle and light intensity from vehicle headlight. This paper addresses an intelligent light illumination system for vehicle headlights to provide better visibility to the driver, opponent and others. The proposed method dynamically varies the headlight beam width, angle and intensity. Vehicular parameters such as steering position, inclination angle and speed are considered along with ambient parameters like day/night cycle and glare from opponent headlights to vary the headlamp light illumination. Two types of fuzzy inference system (FIS) have been designed, which can encapsulate human intelligence into the proposed system. The centralized FIS (CFIS) acquires all the sensing parameters to control the headlight illumination. However, the interdependency factor makes the CFIS complex and produces an erroneous response. To reduce erroneous and complexity, a decentralized fuzzy inference system (DFIS) for each of the control parameters is proposed. A prototype for the proposed intelligent light system is also fabricated. The performance of the proposed headlight system is analyzed; simulation results illustrate that DFIS-based intelligent light illumination system has an errorless smooth variation in the beam angle and light intensity than CFIS.KeywordsDynamic headlight systemFuzzy logicHeadlight beam widthBeam angle