원문정보
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
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