Abstract
The project proposed a prototype of an adaptive car headlamps control using image processing. The adaptive headlamps system focuses on the lighting angle control of low beam in the headlamps which its light tracks moved horizontally. The controller in headlamps is based on image processing from a camera mounted on the car. Adaptive headlamps system consists of portable tiny computer of Raspberry Pi, Arduino microcontroller, and two stepper motors for the left and the right headlamps. The system was implemented on the headlamps of a Toyota Avanza car. The adaptive headlamps system could detect most types of cars ahead. It could decrease a ‘glare’ effect and increase the driver sight based on survey taken from the driver and the driver of opposite car. The system still couldn’t detect the opposite car with high intensity of light from braking lamps, as well as the light from the opposite front lamps.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Apriliananda, D.: Ini Waktu Rawan Kecelakaan Lalu Lintas! 11 September 2014. http://otomotif.kompas.com/read/2013/12/24/1935538/Ini.Waktu.Rawan.Kecelakaan.Lalu.Lintas
Kompasiana, 85% Kecelakaan Lalu-lintas Karena Human Error. 28 December 2011 (10 November 2014). http://lifestyle.kompasiana.com/catatan/2011/12/28/85-kecelakaan-lalu-lintas-karena-human-error-422758.html
Hella, Adaptive Frontlight System (AFS). 14 June 2012. 10 September 2014. http://www.youtube.com/watch?v=Cu_0G9QtAMo
light/on&off™, Automatic Car Headlight, Lights, Automatic Car Lighting System. t.thn. 11 September 2014. http://www.smileyouaredriving.com/uk_en-products.driving-assistance.video-7.html
Antony, B., Manoj, M.: Control algorithm for adaptive front light systems. Int. J. Comput. Trends Technol. 9(7), 339–343 (2014)
Stein, G.P., et al: Headlight, Taillight and Streetlight Detection. United States Patent (2009)
Open CV-Python Tutorials. Face Detection using Haar Cascades (2015)
Rosebrock, A.: Find Distance from Camera to Object/Marker using Python and Open CV. (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer Science+Business Media Singapore
About this paper
Cite this paper
Prasetyo, W.T., Santoso, P., Lim, R. (2016). Adaptive Cars Headlamps System with Image Processing and Lighting Angle Control. In: Pasila, F., Tanoto, Y., Lim, R., Santoso, M., Pah, N. (eds) Proceedings of Second International Conference on Electrical Systems, Technology and Information 2015 (ICESTI 2015). Lecture Notes in Electrical Engineering, vol 365. Springer, Singapore. https://doi.org/10.1007/978-981-287-988-2_45
Download citation
DOI: https://doi.org/10.1007/978-981-287-988-2_45
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-287-986-8
Online ISBN: 978-981-287-988-2
eBook Packages: EngineeringEngineering (R0)