Open AccessDriving Assistance System for Security and Safety
Author(s) -
Vidhu Uthappa
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.36521
Subject(s) - chassis , computer science , truck , ultrasonic sensor , collision , visibility , identification (biology) , lidar , vehicle safety , security system , automotive engineering , real time computing , computer vision , simulation , artificial intelligence , computer security , engineering , remote sensing , geography , physics , botany , structural engineering , meteorology , acoustics , biology
The increase in the number of vehicles increases the number of accidents. India ranks first in the world by 11% where a greater number of accidents occur followed by China and the USA. Most road accidents occur due to human errors. The Advanced Driver Assistant System is developed to Automate, Adapt and increase the safety of the vehicle and driver and also to ensure better driving. The safety features in this system are designed and developed to avoid collision by using technologies that give an indication or alert to the driver regarding problems, implementing safe grounds, and controlling the vehicle if necessary. In recent years Ultrasonic sensor-based systems and the rear-view camera-based system is been used by different car manufacturers which are available only on higher-end vehicles. In the proposed system we calculate the frontal road width by capturing an image using a Vehicle Frontal Camera(VFC) and processing it for proper judgment of space available for the vehicle to pass, with that surround space detection is achieved by using LIDAR and detection of unattended pets/child inside the vehicle by using IR proximity sensors and identification of pets/objects under the vehicle using Chassis level camera when parked in a remote location or cities to avoid loss of life of animals and to avoid the damage caused to the vehicle.