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Title

Vision-based steering control, speed assistance and localization for inner-cityvehicles

AuthorsOlivares Méndez, Miguel A.; Sánchez-López, José L.; Jimenez, F.; Campoy, Pascual ; Sajadi-Alamdari, S.A.; Voos, H.
Keywordscomputer vision
vision-based control
vision sensor
speed assistance
road vehicles
positioning
partial automation
automatic steering control
driver assistance vision-based system
Issue Date2016
PublisherMolecular Diversity Preservation International
CitationSensors 16 (2016)
AbstractAutonomous route following with road vehicles has gained popularity in the last few decades. In order to provide highly automated driver assistance systems, different types and combinations of sensors have been presented in the literature. However, most of these approaches apply quite sophisticated and expensive sensors, and hence, the development of a cost-efficient solution still remains a challenging problem. This work proposes the use of a single monocular camera sensor for an automatic steering control, speed assistance for the driver and localization of the vehicle on a road. Herein, we assume that the vehicle is mainly traveling along a predefined path, such as in public transport. A computer vision approach is presented to detect a line painted on the road, which defines the path to follow. Visual markers with a special design painted on the road provide information to localize the vehicle and to assist in its speed control. Furthermore, a vision-based control system, which keeps the vehicle on the predefined path under inner-city speed constraints, is also presented. Real driving tests with a commercial car on a closed circuit finally prove the applicability of the derived approach. In these tests, the car reached a maximum speed of 48 km/h and successfully traveled a distance of 7 km without the intervention of a human driver and any interruption.
URIhttp://hdl.handle.net/10261/170732
DOIhttp://dx.doi.org/10.3390/s16030362
ISSN1424-8220
Appears in Collections:(CAR) Artículos
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