Controlling LED Based Adaptive Front-Lighting System Using Machine Learning Tata Elxsi, Limited

Format:

Conference/Event

Author/Creator:

Nandyala, Nandyala, author.

Contributor:

Kumar, Kshitij

Manalikandy, Mithun

Santhapur, Sriharsha

Conference Name:

WCX World Congress Experience (2018-04-10 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2018

Summary:

AbstractAccidents in nights have a major share in all automotive accidents. Even though, the average distance driven in dark is 75% less as compared to the average distance driven during the day, the fatalities in nights due to road accidents are 300% of the day time. Again, the statistical studies from the National Safety Council disclose the fact that 55% of all road accidents in nights occur at the curved roads due to insufficient illumination and poor judgment of curves. The paper proposes a control algorithm with machine learning that controls LED matrix headlamp to provide precise beam pattern shaping and beam intensity (id est high and low beam). The system is designed to give the driver improved visibility under varying driving conditions. Adaptive Front Lighting System is an intelligent system, designed in MATLAB\Simulink environment that optimizes the illumination of roads during the night, on the basis of inputs from different sensors in the vehicle

Notes:

Vendor supplied data

Publisher Number:

2018-01-1040

Access Restriction:

Restricted for use by site license