Design of Automatic Headlamp Control Using Light-Dependent Resistor Sensors and Night Vision Camera

Madhankumar, S.; Kumaar, K. Abhinav; Arunachalam, S.; Kalyan, R. Bavan; Hrithik, K.; Rajesh, S.; Thokala, Mohan Rao

doi:10.1007/978-981-19-2225-1_58

Proceedings of the 6th International Conference on Advance Computing and Intelligent Engineering

2022

DOI: 10.1007/978-981-19-2225-1_58

|View full text |Cite

Design of Automatic Headlamp Control Using Light-Dependent Resistor Sensors and Night Vision Camera

S. Madhankumar¹,

K. Abhinav Kumaar²,

S. Arunachalam³

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Highway Safety with an Intelligent Headlight System for Improved Nighttime Driving

Nkrumah,

Cai,

Jafaripournimchahi

et al. 2024

Sensors

View full text Add to dashboard Cite

Automotive headlights are crucial for nighttime driving, but accidents frequently occur when drivers fail to dim their high beams in the presence of oncoming vehicles, causing temporary blindness and increasing the risk of collisions. To address this problem, the current study developed an intelligent headlight system using a sensor-based approach to control headlight beam intensity. This system is designed to distinguish between various light sources, including streetlights, building lights, and moving vehicle lights. The primary goal of the study was to create an affordable alternative to machine-learning-based intelligent headlight systems, which are limited to high-end vehicles due to the high cost of their components. In simulations, the proposed system achieved a 98% success rate, showing enhanced responsiveness, particularly when detecting an approaching vehicle at 90°. The system’s effectiveness was further validated through real-vehicle implementation, confirming the feasibility of the approach. By automating headlight control, the system reduces driver fatigue, enhances safety, and minimizes nighttime highway accidents, contributing to a safer driving environment.

show abstract

Highway Safety with an Intelligent Headlight System for Improved Nighttime Driving

Nkrumah,

Cai,

Jafaripournimchahi

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Design of Automatic Headlamp Control Using Light-Dependent Resistor Sensors and Night Vision Camera

Cited by 1 publication

References 6 publications

Highway Safety with an Intelligent Headlight System for Improved Nighttime Driving

Highway Safety with an Intelligent Headlight System for Improved Nighttime Driving

Contact Info

Product

Resources

About