Anti-Collision & Obstacle Notifier Using Machine Learning and Networking Technologies in VANET

Autor:	C.G. Anupama, D. Anitha, Aditya Kumar Sinha A
Rok vydání:	2021
Předmět:	History Vehicular ad hoc network business.industry Computer science Obstacle Collision business Computer Science Applications Education Computer network
Zdroj:	Journal of Physics: Conference Series. 2007:012052
ISSN:	1742-6596 1742-6588
Popis:	Anti-Collision System for Avoidance of accident occurrence on road among the vehicle will be able to detect the object which is approaching the vehicle. And at the same time, it will also recognize the category of approaching objects to determine whether it comes in the category of obstacle or not. Apart from Object recognition, the system will also be able to determine the distance between the respective vehicle and the approaching object to the vehicle and if the object will come to the nearest distance to the vehicle, which is implemented as the danger distance for them, then the notification alarm will start to ring with the signature of warning signal to the vehicle driver site. Due to this, the vehicle collision and the occurrence of road accidents among the vehicle will be reduced and also as the system is performing the recognition then the vehicle driver will also be able to see the color of the front traffic light on their display unit.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::28eb4e16851e54cec1ff5b7d9729a4ec https://doi.org/10.1088/1742-6596/2007/1/012052 Zobrazit plný text záznamu