Earticle

초록

영어

To alert drivers about driving environments on-board automotive driver assistance systems are developed. This paper presents a review on the various techniques of On-Road Vehicle detection systems. When vehicles are fully stopped for epoch of time, this condition is known as a traffic jam. For this, we must need an efficient traffic control system. In this paper a Survey of previous and recent works is presented on vision-based vehicle detection using sensors and also gives a detailed discussion on two steps of vehicle detection which are hypothesis generation and hypothesis verification. In the first step, all vehicles are hypothesized and in the second step, all hypotheses are verified and classified into vehicle and non-vehicle classes. The Both stages are important and challenging.

목차

Abstract
 1. Introduction
 2. Sensors
  2.1. Active Sensors-
  2.2. Passive Sensors-
 3. Methodology
 4. HG Methods
  4.1 Knowledge-Based Methods:
  4.2. Stereo-Vision-Based Methods:
  4.3. Motion-Based Methods:
 5. HV Method
 6. Integrating Lane and Vehicle Tracking
 7. Discussion
 8. Conclusions
 References

키워드

저자

• Mona Saini [ Department of Computer Science & Engineering Student of Krishna Institute of Engineering and Technology, Ghaziabad ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of u- and e- Service, Science and Technology

• 간기

  격월간

• pISSN

  2005-4246

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605