A Situation-Adaptive Lane-Keeping Support System: Overview of the SAFELANE Approach

• Published in: IEEE transactions on intelligent transportation systems 2010-09, Vol.11 (3), p.617-629
• Main Authors: Amditis, A, Bimpas, M, Thomaidis, G, Tsogas, M, Netto, M, Mammar, S, Beutner, A, Möhler, N, Wirthgen, T, Zipser, S, Etemad, A, Da Lio, M, Cicilloni, R
• Format: Article
• Language: English
• Subjects: Accidents; Active control; Associate members; Data fusion; Digital cameras; Drivers; Dynamical systems; Dynamics; Engineering Sciences; Global Positioning System; Infrared detectors; Infrared sensors; integrated safety applications; lane tracking; lane-keeping support (LKS) system; Laser radar; Lasers; Perception; Radar detection; Radar tracking; Road safety; Roads; Traffic flow
• ISSN: 1524-9050; 1558-0016
• DOI: 10.1109/TITS.2010.2051667

Going beyond standard lane-departure-avoidance systems, this paper addresses the development of a system that is able to deal with a large set of different traffic situations. Its foundation lies on a thoroughly constituted environment detection through which a decision system is built. From the output of the decision module, the driver is warned or corrected through suited actuators that are coupled to control strategies. The input to the system comes from cameras, which are supplemented by active sensors (such as radar and laser scanners) and vehicle dynamic data, digital road maps, and precise vehicle-positioning data. In this paper, the presented system design is divided into three layers: the perception layer, which is responsible for the environment perception, and the decision and action layers, which are responsible for evaluating and executing actions, respectively.