Arduino based Conventional Headlight with Multi Trait

Pal, Sushmita; Bhaskaran, Sreebha

doi:10.1109/icesc48915.2020.9155803

Cited by 6 publications

(2 citation statements)

References 7 publications

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“…Arduino initially was linked with LDR [21] to program the input based on light sensing and output based on Arduino signal transferred to relay. To upgrade this technology, paired with gyroscope, the dimmer circuit functions as deflection meter to detect the horizontal angular distance between approaching vehicle to spark the switch case mechanism to take decisions as per surroundings [22]. Later, Automatic Dimmer Systems using transistors were used.…”

Section: Resultsmentioning

confidence: 99%

Evaluation of IoT Based Automatic Headlight Dimmer Systems

Gandhi

Aulakh

Thind

et al. 2021

Advanced Computing and Intelligent Technologies

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IoT has taken over in every aspect of our daily lives. Domains stretch across a vast horizon, starting from home appliances, electronic devices, home systems to industrially manufactured products such as robots, equipment, and even automobiles. Implementation of IoT in automobiles such as self-driving cars is such a domain that is risen in the past few years by a notch but often one area has not been explored to such an extent, and hence poses as a flaw in the manufacturing of vehicles are the headlamps. As per statistics, it has been found that unawareness of the driver and incorrect selection of beam during driving has posed as a major security threat to the traveler himself and the surrounding cars leading to a lot of accidents and in turn raising concern. This paper offers a comparative study of the existing technologies deployed in automatic headlight dimmer systems along with pondering upon the need of automatically controlled systems to switch headlights in automobiles, what are the foundation grounds for headlamp alteration systems, what are the detrimental effects to safety when any driver uses the wrong beam in unsupportable conditions in a vehicle.

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Section: Resultsmentioning

confidence: 99%

Evaluation of IoT Based Automatic Headlight Dimmer Systems

Gandhi

Aulakh

Thind

et al. 2021

Advanced Computing and Intelligent Technologies

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“…37 The use of a piezoelectric motor as an actuator for dynamic headlight leveling was explored as a potential future step in automotive lighting. 38 Authors in Sushmita Pal 39 implemented an intelligent headlight system that improves road visibility and adjusts the headlight in hilly and curved terrains using an Arduino-based conventional headlight with multi-traits. This diverse literature showcases the various methods and approaches employed by designers of intelligent headlight systems.…”

Section: Literature Surveymentioning

confidence: 99%

A review of automotive intelligent and adaptive headlight beams intensity control approaches

Nkrumah,

Cai,

Jafaripournimchahi

2024

Advances in Mechanical Engineering

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The automotive headlight stands out as a critical vehicle component, particularly emphasized during nighttime driving. The high beam, designed for optimal driver visibility on long-distance roads, traditionally relies on manual control by the driver. However, this manual control poses challenges, particularly when the high beam light temporarily blinds oncoming drivers. The resultant dazzle for drivers of opposing vehicles is a significant concern. In response to these issues, there is a growing demand for adaptive and intelligent headlights that can autonomously adjust beam intensity. The intelligent headlight system takes on the responsibility of modifying the beam intensities without requiring explicit input from the drivers. This study aims to systematically review various approaches to controlling intelligent headlight beam intensity. The paper identifies four prominent approaches to intelligent headlight beam intensity control, recognized as widely used techniques. Furthermore, the study uncovers intriguing connections between some of these intensity control approaches. A survey on utilization rates indicates that sensor-based and machine learning (ML)-based intensity control approaches are the most commonly employed methods by automotive headlight designers. The paper concludes by providing insights into the future prospects of intelligent headlight technology, offering guidance for future researchers in this field.

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