Keeping the vehicle on the road

Autor: Gokhan Yenikaya, Ekrem Düven, Sibel Yenikaya
Přispěvatelé: Uludağ Üniversitesi/Mühendislik Fakültesi/Elektrik ve Elektronik Mühendisliği Bölümü., Yeni̇kaya, Sibel, Yenikaya, Gökhan, Düven, Ekrem, AAA-5126-2019
Rok vydání: 2013
Předmět:
Computer science
Performance
Extraction
Advanced driver assistance systems
Surveys
Vehicle Information and Communication System
Lane detection
Field (computer science)
law.invention
Camera
Vanishing Point
Driver Assistance
Vision system
Intelligent vehicle highway systems
law
Computer vision
Radar
Road following
Longitudinal control
Computer science
theory & methods

Tracking
Intelligent vehicles
Visual information
Roads and streets
Reliability
Obstacle detection
Algorithm
Tracking (position)
Obstacle detectors
Obstacle
Algorithms
Heading (navigation)
General Computer Science
Context (language use)
Optical radar
Theoretical Computer Science
Relative positions
Road detecetion
Experimentation
Low-power consumption
business.industry
Verification
Vehicles
Parallel
Heading directions
Wireless sensor networks
Recognition
Driver assistance
Artificial intelligence
business
Wireless sensor network
Zdroj: ACM Computing Surveys. 46:1-43
ISSN: 1557-7341
0360-0300
DOI: 10.1145/2522968.2522970
Popis: The development of wireless sensor networks, such as researchers Advanced Driver Assistance Systems (ADAS) requires the ability to analyze the road scene just like a human does. Road scene analysis is an essential, complex, and challenging task and it consists of: road detection (which includes the localization of the road, the determination of the relative position between vehicle and road, and the analysis of the vehicle's heading direction) and obstacle detection (which is mainly based on localizing possible obstacles on the vehicle's path). The detection of the road borders, the estimation of the road geometry, and the localization of the vehicle are essential tasks in this context since they are required for the lateral and longitudinal control of the vehicle. Within this field, on-board vision has been widely used since it has many advantages (higher resolution, low power consumption, low cost, easy aesthetic integration, and nonintrusive nature) over other active sensors such as RADAR or LIDAR. At first glance the problem of detecting the road geometry from visual information seems simple and early works in this field were quickly rewarded with promising results. However, the large variety of scenarios and the high rates of success demanded by the industry have kept the lane detection research work alive. In this article a comprehensive review of vision-based road detection systems vision is presented.
Databáze: OpenAIRE