Intelligent Control System of Automobile Front-Light Based on Active Safety

Li, Chao; Wang, Jinfeng; Li, Hao; Liu, Ximing; Wang, Yi

doi:10.1109/icmtma.2017.0040

Cited by 5 publications

(3 citation statements)

References 1 publication

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“…У статті [8] подано інтелектуальну система управління автомобільними фарами, яка складається з модуля збору інформації, модуля передачі даних, модуля обробки даних і модуля двигуна. Система оснащена інтелектуальним перемикачем фар; переднє світло може регулюватися автоматично під час повороту автомобіля або руху по схилу, а також високошвидкісного круїзу.…”

Section: вступunclassified

Research of active safety systems for motor vehicles

Korostelev¹,

Hnatov²

2020

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національний автомобільно-дорожній університет Анотація. Проведено дослідження активних систем безпеки автомобілів на дорозі з метою вжиття заходів для підвищення безпеки учасників дорожнього руху. Було проаналізовано основні системи допомоги водію в активній системі безпеки автомобіля і розглянуто різні елементи для підвищення безпеки людей в автомобілі в пасивній системі безпеки. Ключові слова: активна безпека, пасивна безпека, автомобіль, стан дороги, автотранспортний засіб, небезпечні ситуації, дорожньо-транспортні пригоди.

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Section: вступunclassified

Research of active safety systems for motor vehicles

Korostelev¹,

Hnatov²

2020

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“…For instance Erzheng et al, 35 developed a system using Micro-Electro-Mechanical Systems (MEMS) and a digital signal processor to control the headlight beams’ angle. In another study Li et al, 36 designed an intelligent headlight system incorporating modules for information collection, data transmission, data processing, and a motor adjusting the range of vision based on vehicle speed to enhance active safety. Similarly, an intelligent headlight system was created with two Electronic Control Units (ECUs) linked by a Controller Area Network (CAN).…”

Section: Introductionmentioning

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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“…Therefore, safety becomes a indispensable part of vehicle industry. With the rapid development of hardware and algorithms, the active safety technology of automobiles attracts more attention from scholars and engineers [5][6] . According to E-NCAP official website, traffic accidents can be reduced by at least 12% if Advanced Driving Assist System (ADAS) is equipped [7] .…”

Section: Introductionmentioning

confidence: 99%

Study on active safety test based on China Intelligent-connected Car Assessment Program (C-ICAP) - basic driving assist

Liu,

Wang,

Zhou

et al. 2023

Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023)

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With the increasing number of automobiles in China, the safety performance of vehicle has become significant. Advanced Driving Assist System (ADAS) is able to reduce the traffic accident. China New Car Assessment Program (C-NCAP) promotes active safety technologies from the aspect of test. However, in C-NCAP, Autonomous Braking System (AEB) is primarily considered. Therefore, China Intelligent-connected Car Assessment Program (C-ICAP) is proposed to comprehensively test the driving assist functions with longitudinal and lateral control. Based on the basic driving assist part of C-ICAP, this study conducts 3 sets of tests to evaluate the performance of the vehicles with ADAS. Moreover, the feasibility and rationality of the test scenarios are evaluated according to the results.

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Intelligent Control System of Automobile Front-Light Based on Active Safety

Cited by 5 publications

References 1 publication

Research of active safety systems for motor vehicles

Research of active safety systems for motor vehicles

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

Study on active safety test based on China Intelligent-connected Car Assessment Program (C-ICAP) - basic driving assist

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