Reference : Vision-Based Steering Control, Speed Assistance and Localization for Inner-CityVehicles
Scientific journals : Article
Engineering, computing & technology : Aerospace & aeronautics engineering
http://hdl.handle.net/10993/25600
Vision-Based Steering Control, Speed Assistance and Localization for Inner-CityVehicles
English
Olivares Mendez, Miguel Angel mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >]
Sanchez-Lopez, Jose Luis [> >]
Jimenez, Felipe [> >]
Campoy, Pascual [> >]
Sajadi Alamdari, Seyed Amin mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Voos, Holger mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit > ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)]
11-Mar-2016
Sensors
16
3
Sensors for Autonomous Road Vehicles
362
Yes (verified by ORBilu)
International
1424-8220
[en] road vehicles ; vision sensor ; automatic steering control ; speed assistance ; computer vision ; vision-based control ; positioning ; driver assistance vision-based system ; partial automation
[en] Autonomous 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.
http://hdl.handle.net/10993/25600
10.3390/s16030362
http://www.mdpi.com/1424-8220/16/3/362

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Olivares_AutonomousDriving_sensors_16.pdfalso available at http://www.mdpi.com/1424-8220/16/3/362Publisher postprint7.8 MBView/Open

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