Autonomous Car for Indian Conditions

Autonomous Car for Indian Conditions
Author(s):
Riya Manoj, Anand C A, Ansu Mars Puthettu, Muhamed Abdul Rehman, Dr. Sherley K K
Keywords:
Convolution neural networks, self-driving car, object detection, traffic sign detection, lane detection
Abstract
— Self-driving cars are vehicles that perceive their surroundings and manoeuvre without the assistance of a driver. This is a high-research area in computer vision that covers many sub-topics and requires in-depth analysis. In order to do this, our study examines the hardware and software elements of a self-driving automobile, utilising Deep Learning technologies such as Convolution Neural Networks, the YOLO algorithm, Hough Transform Algorithms and the Canny Edge Detection algorithm. The modules used are perception, localization, mapping, vehicle path planning,vehicle control.This paper reasons some of the problems in the existing technology and provides a few solutions that can be taken to handle it.
Article Details
Unique Paper ID: 160343 Publication Volume & Issue: Volume 10, Issue 1 Page(s): 861 - 868
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