Open AccessObstacle Detection Challenges of Camera Sensor Designed for ADAS
Author(s) -
Karri Satish Poojith Reddy,
A Srinivaas
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.k7684.0991120
Subject(s) - obstacle , computer science , computer vision , artificial intelligence , image sensor , advanced driver assistance systems , smart camera , real time computing , geography , archaeology
Camera is a very crucial sensor for ADAS which is commonly used in all the vehicles to assist driver by providing information about all the obstacles around the vehicle during a drive. The Camera sensor is a vision based sensor and it is highly preferred because of its advantages like excellent in classification, good resolution, very economical and small in size. Still this sensor is having some disadvantages like huge computational load, failed to detect obstacles due to poor light and weather conditions and even less capable to estimate the distance from the obstacle. In recent years so many research works were performed to overcome these challenges, for making the camera a robust sensor. In this paper, the challenges in detection faced by camera sensor were focused and their respective solution is discussed, which are required to improve the effectiveness in vision based detection.