Enhanced Roadway Geometry Data Collection Using an Effective Video Log Image-Processing Algorithm

With the advancement of information technology, video logging has become a feasible and common practice for state-level departments of transportation (DOTs) to visualize roadway conditions to support various transportation activities. A new and innovative image-processing algorithm and method using video log images to enhance the highway roadway geometry data collection is presented. The algorithm is based on Canny edge detection, slope-adaptive edge reduction, a novel recursive approximation of the vanishing point, localized color thresholding, and knowledge-based Hough transform. Experiments on real digital images indicate that the algorithm is feasible for automated road geometric data collection, especially in recognizing lane marks and shoulder edges. The algorithm was implemented with Visual C++ language and tested on a Pentium IV 3.06-GHz computer. It indicates that the average processing speed is about 280 ms for an image size of 1,300 x 1,050. The developed method can be used by state DOTs to sav...

[1]  Jianping Wu,et al.  Shape- and Texture-Based 1-D Image Processing Algorithm for Real-Time Stop Sign Road Inventory Data Collection , 2002, J. Intell. Transp. Syst..

[2]  Massimo Bertozzi,et al.  Artificial vision in road vehicles , 2002, Proc. IEEE.

[3]  Dean A. Pomerleau,et al.  RALPH: rapidly adapting lateral position handler , 1995, Proceedings of the Intelligent Vehicles '95. Symposium.

[4]  Yoshiki Ninomiya,et al.  A robust lane detection using real-time voting processor , 1999, Proceedings 199 IEEE/IEEJ/JSAI International Conference on Intelligent Transportation Systems (Cat. No.99TH8383).

[5]  Long Quan,et al.  Determining perspective structures using hierarchical Hough transform , 1989, Pattern Recognit. Lett..

[6]  Jake K. Aggarwal,et al.  Determining vanishing points from perspective images , 1984, Comput. Vis. Graph. Image Process..

[7]  A. Gern,et al.  Vision-based lane recognition under adverse weather conditions using optical flow , 2002, Intelligent Vehicle Symposium, 2002. IEEE.

[8]  Li-bing,et al.  A vision navigation algorithm based on linear lane model , 2000, Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511).

[9]  C. Kreucher,et al.  A DRIVER WARNING SYSTEM BASED ON THE LOIS LANE DETECTION ALGORITHM , 1998 .

[10]  Stephen T. Barnard,et al.  Interpreting Perspective Image , 1983, Artif. Intell..

[11]  Jefferey A. Shufelt,et al.  Performance Evaluation and Analysis of Vanishing Point Detection Techniques , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[12]  Alexander Zelinsky,et al.  Robust vision based lane tracking using multiple cues and particle filtering , 2003, IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No.03TH8683).

[13]  Panos E. Trahanias,et al.  The VPLF method for vanishing point computation , 2001, Image Vis. Comput..

[14]  T. Bucher.  Measurement of distance and height in images based on easy attainable calibration parameters , 2000, Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511).

[15]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[16]  Robert T. Collins,et al.  Vanishing point calculation as a statistical inference on the unit sphere , 1990, [1990] Proceedings Third International Conference on Computer Vision.

[17]  Yichang Tsai,et al.  Real-time Speed Limit Sign Recognition Based on Locally Adaptive Thresholding and Depth-First-Search , 2005 .

[18]  Christopher M. Kreucher,et al.  LANA: a lane extraction algorithm that uses frequency domain features , 1999, IEEE Trans. Robotics Autom..

[19]  G. F. McLean,et al.  Vanishing Point Detection by Line Clustering , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[20]  Karl C. Kluge,et al.  Extracting road curvature and orientation from image edge points without perceptual grouping into features , 1994, Proceedings of the Intelligent Vehicles '94 Symposium.

[21]  Sridhar Lakshmanan,et al.  A deformable-template approach to lane detection , 1995, Proceedings of the Intelligent Vehicles '95. Symposium.

[22]  Reinhold Behringer,et al.  Road recognition from multifocal vision , 1994, Proceedings of the Intelligent Vehicles '94 Symposium.