Vision-Based Steering Control, Speed Assistance and Localization for Inner-City Vehicles

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, the authors 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.

• Record URL:
  https://doi.org/10.3390/s16030362
• Record URL:
  http://www.mdpi.com/1424-8220/16/3/362
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/14248220
• Supplemental Notes:
  • © 2016 Miguel Angel Olivares-Mendez et al.
• Authors:
  • Olivares-Mendez, Miguel
  • Sanchez-Lopez, Jose
  • Jimenez, Felipe
  • Campoy, Pascual
  • Sajadi-Alamdari, Seyed
  • Voos, Holger
• Publication Date: 2016

Language

• English

Media Info

• Media Type: Web
• Features: Figures; Photos; References; Tables;
• Pagination: p 362
• Serial:
  • Sensors
  • Volume: 16
  • Issue Number: 3
  • Publisher: MDPI AG
  • ISSN: 1424-8220
  • Serial URL: http://www.mdpi.com/journal/sensors
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Automatic steering control; Automation; Computer vision; Driver support systems; Intelligent vehicles; Sensors; Speed control; Steering
• Subject Areas: Highways; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01599422
• Record Type: Publication
• Files: TRIS
• Created Date: May 20 2016 3:52PM