Pre-Print Article

Adaptive Headlamp and Side Mirror Using Linear Regression Based on Raspberry Pi3

SAE-PP-00350

07/31/2023

Authors Abstract
Content
The greatest number of fatal traffic accidents occurs on curved roads at nighttime. In most cases, the late recognition of objects in the traffic zone plays an important role. This highlights to the importance of the role of automobile forward lighting systems. This paper developed a proto-type auto adjustable headlamp and mirror tilt to improve cost and reliability. Also, an adaptive mirror is implemented to remove the blind spots while taking turns. The methodology used here adaptive headlamps and mirrors are developed using Raspberry Pi3 as hardware and Python is used as programming language. Machine learning algorithm “Linear regression” is used for computing the output. Machine Learning Linear regression is considered here as it simple and efficient algorithm in terms of implementation and memory usage. Easily available components like Raspberry Pi3, LDR Sensor, ADXL Gyroscope are used and the design is developed to provide the steering mechanism for the headlamps and mirror which are actuated along with the steering of the front wheels. Around 15% increase in the illuminated area on road and 20% increase in the side mirror view is achieved.
Meta TagsDetails
Citation
Ekatpure, R., "Adaptive Headlamp and Side Mirror Using Linear Regression Based on Raspberry Pi3," SAE MobilityRxiv™ Preprint, submitted July 31, 2023, https://doi.org/10.47953/SAE-PP-00350.
Additional Details
Publisher
Published
Jul 31, 2023
Product Code
SAE-PP-00350
Content Type
Pre-Print Article
Language
English