Open AccessTraffic sign and Obstacle detection in Vehicular Ad-Hoc Network (VANET) using HOG and Haar Classifier Techniques
Author(s) -
T. Rajesekaran,
Dr.Sumathi Eswaran,
Dr.A. Rengarajan,
Dr.T.V. Anaanthan
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.h7141.0881019
Subject(s) - vehicular ad hoc network , obstacle , computer science , headway , intelligent transportation system , computer network , wireless , wireless ad hoc network , field (mathematics) , enhanced data rates for gsm evolution , computer security , telecommunications , transport engineering , engineering , simulation , mathematics , pure mathematics , political science , law
Wireless technology is progressing faster with time. People are doing research these days generally in the field of Wireless communication. VANET is the most developing exploration territory in remote correspondence. With the headway and development of the VANET, there will be an incredible upheaval in the field of telecommunication regarding quick handovers, arrange accessibility, security, wellbeing with the utilization of cutting edge applications and so on. VANET innovation is progressing with the progression of time however there are numerous issues that must be routed to make the system more overwhelming. In this paper we have proposed an effective mechanism for object detection in highways using Neural Networking and proving driver assistance to enhance the existing system to the next level as Intelligent Transportation System