Abstract

AbstractOne of the most innovative features is the invention of an autonomous car. An autonomous car controls the motion, sensor activation and action automatically without any human intervention. Such vehicles ensure high degree of safety, comfort, and ease of driving. Front lights which make one of the important components of such vehicles has to be designed in such a way that it consumes less power and provides a clear vision to occupants. The study aims to develop intelligent operated light dimmer using the concept of Internet of things (IoT). The designed automated light management system automatically manages light intensity and beam settings based on input parameters received from the environment. The system manages the ON/OFF function of lights using an LDR sensor, high/low beams using a front body mounted camera, left/right movement of lights according to steering position and up/down movement of lights according to incline/decline is detected. It makes use of sensors, i.e., BNO055 9-DOF which senses current driving conditions, i.e., incline/decline or turning of the vehicle, BME280 which indicates temperature, humidity, and altimeter sensing that is utilized for calculation of loss in visibility on the road due to fog, smog, rainfall, etc. HB100 sensor is microwave radar that can detect objects up to 16 m helps in choosing beaming (high or low) while ALS-PT19 detects amount of ambient light in the environment to decide ON/OFF or level of headlight brightness. The designed analysis provided satisfactory results and can be successfully fitted in autonomous vehicles.KeywordsAutonomousVehiclesDimmer lightSensorSafety

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