This paper is published in Volume-5, Issue-2, 2019
Area
Automotive
Author
Devaharsha Meesarapu, V. V. Sai Rama Datta, G. Sai Krishna Chaitanya
Org/Univ
Vellore Institute of Technology, Vellore, Tamil Nadu, India
Pub. Date
09 April, 2019
Paper ID
V5I2-1799
Publisher
Keywords
Camera, MMW-Radar, Python, OpenCV

Citationsacebook

IEEE
Devaharsha Meesarapu, V. V. Sai Rama Datta, G. Sai Krishna Chaitanya. A novel approach for active safety system, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Devaharsha Meesarapu, V. V. Sai Rama Datta, G. Sai Krishna Chaitanya (2019). A novel approach for active safety system. International Journal of Advance Research, Ideas and Innovations in Technology, 5(2) www.IJARIIT.com.

MLA
Devaharsha Meesarapu, V. V. Sai Rama Datta, G. Sai Krishna Chaitanya. "A novel approach for active safety system." International Journal of Advance Research, Ideas and Innovations in Technology 5.2 (2019). www.IJARIIT.com.

Abstract

In this modern day automotive world, the occurrence of accidents is much more due to several factors. This can be avoided when the driver is alert. So a system has to be developed which gives the driver the information about the nearby vehicles whether it is a danger, no danger, potential danger. This paper presents you how to classify the vehicles in its ROI and categorize their stage of danger. Specifically, stereo cameras and Millimeter Wave (MMW)-radar are fused to help the driving ego-vehicle. Cameras are used to identify near lateral dynamic objects and MMW radar to detect far longitudinal objects. This process is simulated using python using CV2 library, numpy library.