Actas de congresos
Real-time Estimation Of Drivable Image Area Based On Monocular Vision
Registro en:
9781467327558
Ieee Intelligent Vehicles Symposium, Proceedings. , v. , n. , p. 63 - 68, 2013.
10.1109/IVS.2013.6629448
2-s2.0-84892411731
Autor
Neto A.M.
Victorino A.C.
Fantoni I.
Ferreira J.V.
Institución
Resumen
Camera-based estimation of drivable image areas is still in evolution. These systems have been developed for improved safety and convenience, without the need to adapt itself to the environment. Machine Vision is an important tool to identify the region that includes the road in images. Road detection is the major task of autonomous vehicle guidance. In this way, this work proposes a drivable region detection algorithm that generates the region of interest from a dynamic threshold search method and from a drag process (DP). Applying the DP to estimation of drivable image areas has not been done yet, making the concept unique. Our system was has been evaluated from real data obtained by intelligent platforms and tested in different types of image texture, which include occlusion case, obstacle detection and reactive navigation. © 2013 IEEE.
63 68 Australian Dedicated Short Range Communication (AusDSRC),Griffith University Intelligent Control Systems Laboratory,Intelligent Transport Systems Australia Bonin-Font, F., Ortiz, A., Oliver, G., Visual navigation for mobile robots: A survey (2008) Journal of Intelligent and Robotic Systems, 53 (3), pp. 263-296 Rodríguez Flórez, S.A., (2010) Contributions by Vision Systems to Multi-sensor Object Localization and Tracking for Intelligent Vehicles, , Thesis, UTC, France Thrun, S., Stanley, the robot that won the darpa grand challenge (2006) Journal of Robotic Systems, 23 (9), pp. 661-692. , 2006, ISSN: 0741-2223 (2007) Spirit of Berlin: An Autonomous Car for the DARPA Urban Challenge Hardware and Software Architecture, , retrieved Jan 05, 2010] Gietelink, O., Ploeg, J., De Schutter, B., Verhaegen, M., Development of advanced driver assistance systems with vehicle hardware-in-The-loop simulations (2006) Vehicle System Dynamics, 44 (7) Ulrich, I., Nourbakhsh, I., Appearance-based obstacle detection with monocular color vision (2000) Proceedings of the AAAI National Conference on Artificial Intelligence, pp. 866-871 Kim, B., Hubbard, P., Necsulescu, D., (2003) Swarming Unmanned Aerial Vehicles: Concept Development and Experimentation, A State of the Art Review on Flight and Mission Control, , Technical Memorandum Aviña-Cervantes, G., Devy, M., Marín, A., Lane extraction and tracking for robot navigation in agricultural applications (2003) Proceedings of the IEEE ICAR 2003 Dahlkamp, H., Self-supervised monocular road detection in desert terrain (2006) Proceedings of the Robotics Science and Systems Conference Diego, F., Álvarez, J.M., Serrat, J., López, A.M., Vision based road detection via on line video registration (2010) Proceedings of the IEEE ITSC 2010 Chetan, J., Madhava, K., Jawahar, C.V., An adaptive outdoor terrain classification methodology using monocular camera (2010) Proceedings of the IEEE IROS 2010 Yanqing, W., Deyun, C., Chaoxia, S., Peidong, W., Vision-based road detection by monte carlo method (2010) Information Technology Journal, 9, pp. 481-487 Yamaguchi, K., Watanabe, A., Naito, T., Ninomiya, Y., Road region estimation using a sequence of monocular images (2008) Proceedings of the International Conference on Pattern Recognition, 2008 Otsu, N., A threshold selection method from graylevel histogram (1978) IEEE Transactions on Systems, Man, and Cybernetics, 9, pp. 62-66 Bertozzi Broggi, A.M., Fascioli, A., Vision-based intelligent vehicles: State of the art and perspectives (2000) Robotics and Autonomous Systems, 32, pp. 1-16 Miranda Neto, A., Rittner, L., Leite, N., Zampieri, D.E., Lotufo, R., Mendeleck, A., Pearson's correlation coefficient for discarding redundant information in real time autonomous navigation systems (2007) Proceedings of the IEEE MSC 2007 Benini, L., Bogliolo, A., Micheli, G.D., A survey of design techniques for system-level dynamic power management (2000) IEEE Transactions on Very Large Scale Integration Systems, 8 (3), pp. 299-316 Miranda Neto, A., Victorino, A.C., Fantoni, I., Zampieri, D.E., Real-time dynamic power management based on pearson's correlation coefficient (2011) Proceedings of the IEEE ICAR 2011 King, H.L., Vision-based lane-vehicle detection and tracking (2009) IAENG Transactions on Engineering Technologies Volume 3-Special Edition, pp. 157-171. , American Institute of Physics Ettinger, S., Vision-guided flight stability and control for micro air vehicles (2003) Adv. Robotics, pp. 617-640 Neto, A.M., Victorino, A.C., Fantoni, I., Zampieri, D.E., Robust horizon finding algorithm for real-time autonomous navigation based on monocular vision (2011) Proceedings of the IEEE ITSC 2011 Miranda Neto, A., Rittner, L., A simple and efficient road detection algorithm for real time autonomous navigation based on monocular vision (2006) Proceedings of the IEEE 3rd LARS 2006 Gonzalez, C.R., Woods, E.R., (1991) Digital Image Processing, , Addison-Wesley Publishing Company Sahoo, P.K., Soltani, S., Wong, A.K.C., A survey of thresholding techniques (1988) Comput. Vision Graphics Image Processing, 41, pp. 233-260 Lee, U.S., Chung, Y.S., Park, H.R., A comparative performance study of several global thresholding techniques for segmentation (1990) Computer Vision, Graphics, and Image Processing Sezgin, M., Sankur, B., Survey over image thresholding techniques and quantitative performance evaluation (2004) Journal of Electronic Imaging, 13, pp. 146-165 Rauskolb, F.W., Caroline: An autonomously driving vehicle for urban environments (2008) Journal of Field Robotics, 25 (9), pp. 674-724 Canny, J.F., (1986) A Computational Approach to Edge Detection, , IEEE Trans. Pattern Anal. Machine Intell Ballard, D., Generalized hough transform to detect arbitrary shapes (1981) IEEE Trans. Pattern Anal. Machine Intell, 13 (2), pp. 111-122 White, F.M., (1986) Fluid Mechanics, , 2nd Ed. McGraw Hill DARPA 2005. DARPA Grand ChallengeNeto, A.M., Victorino, A.C., Fantoni, I., Zampieri, D.E., Ferreira, J.V., Visual-perception layer applied to reactive navigation (2012) Proceedings of the IEEE 9th LARS 2012 http://youtu.be/ZpEbRo32pY8, retrieved Jan 31, 2013