In the last few years, driver assistance systems are increasingly being investigated in the automotive field to provide a higher degree of safety and comfort. Lane position determination plays a critical role toward the development of autonomous and computer-aided driving. This paper presents an accurate and robust method for detecting road markings with applications to autonomous vehicles and driver support. Much like other lane detection systems, ours is based on computer vision and Hough transform. The proposed approach, however, is unique in that it uses fuzzy reasoning to combine adaptively geometrical and intensity information of the scene in order to handle varying driving and environmental conditions. Since our system uses fuzzy logic operations for lane detection and tracking, we call it “FLane.” This paper also presents a method for building the initial lane model in real time, during vehicle motion, and without any a priori information. Details of the main components of the FLane system are presented along with experimental results obtained in the field under different lighting and road conditions.
Skip Nav Destination
giulio.reina@unisalento.it
milella@ba.issia.cnr.it
Article navigation
March 2011
Research Papers
FLane: An Adaptive Fuzzy Logic Lane Tracking System for Driver Assistance
Giulio Reina,
Giulio Reina
Department of Engineering for Innovation,
giulio.reina@unisalento.it
University of Salento
, Via per Arnesano, 73100 Lecce, Italy
Search for other works by this author on:
Annalisa Milella
Annalisa Milella
Institute of Intelligent Systems for Automation,
milella@ba.issia.cnr.it
National Research Council
, Via G. Amendola 122/D, 70126 Bari, Italy
Search for other works by this author on:
Giulio Reina
Department of Engineering for Innovation,
University of Salento
, Via per Arnesano, 73100 Lecce, Italygiulio.reina@unisalento.it
Annalisa Milella
Institute of Intelligent Systems for Automation,
National Research Council
, Via G. Amendola 122/D, 70126 Bari, Italymilella@ba.issia.cnr.it
J. Dyn. Sys., Meas., Control. Mar 2011, 133(2): 021002 (11 pages)
Published Online: February 11, 2011
Article history
Received:
July 9, 2008
Revised:
July 23, 2010
Online:
February 11, 2011
Published:
February 11, 2011
Citation
Reina, G., and Milella, A. (February 11, 2011). "FLane: An Adaptive Fuzzy Logic Lane Tracking System for Driver Assistance." ASME. J. Dyn. Sys., Meas., Control. March 2011; 133(2): 021002. https://doi.org/10.1115/1.4003091
Download citation file:
Get Email Alerts
Cited By
Gain-Scheduled Steering and Braking Coordinated Control in Path Tracking of Intelligent Heavy Vehicles
J. Dyn. Sys., Meas., Control (October 2022)
Design and Experiment of a Prescribed-Time Trajectory Tracking Controller for a 7-DOF Robot Manipulator
J. Dyn. Sys., Meas., Control (October 2022)
A Novel Gegenbauer Wavelet-Based Approach for Stability and Surface Location Error Analyses of Milling Process
J. Dyn. Sys., Meas., Control (October 2022)
LED-Based Optical Localization of a Robot in Continuous Motion Using Dynamic Prediction
J. Dyn. Sys., Meas., Control
Related Articles
Prediction of Plantar Shear Stress Distribution by Artificial Intelligence Methods
J Biomech Eng (September,2009)
Biomechanical Study Using Fuzzy Systems to Quantify Collagen Fiber Recruitment and Predict Creep of the Rabbit Medial Collateral Ligament
J Biomech Eng (June,2005)
A Fuzzy Adaptive Simplex Search Optimization Algorithm
J. Mech. Des (June,2001)
Fuzzy-FMSA: Evaluating Fault Monitoring and Detection Strategies Based on Failure Mode and Symptom Analysis and Fuzzy Logic
ASME J. Risk Uncertainty Part B (September,2020)
Related Proceedings Papers
Related Chapters
Improvemen of Vehicle Handling by Integrated Control System of 6WS and ESP with Fuzzy Logic Approach
International Conference on Mechanical and Electrical Technology, 3rd, (ICMET-China 2011), Volumes 1–3
Fuzzy Logic Based Smart Air Compressor Sequencer
International Conference on Computer and Automation Engineering, 4th (ICCAE 2012)
Fuzzy Logic Voltage Flicker Estimation Using Hilbert Transform
International Conference on Mechanical Engineering and Technology (ICMET-London 2011)