參考文獻 |
References
[1] National Highway Traffic Safety Administration, Fatality Analysis Reporting System Encyclopedia, on http://www-fars.nhtsa.dot.gov/.
[2] R. Sosa and G. Velazquez, “Obstacles detection and collision avoidance system developed with virtual models,” in Proc. of IEEE Conf. on Intelligent Vehicular Electronics and Safety, Beijing, China, Dec.13-15, 2007, pp.1-8.
[3] T. Mondal, R. Ghatak, and S. R. B. Chaudhuri, “Design and analysis of a 5.88GHz microstrip phased array antenna for intelligent transport systems,” in Proc. conf. on Int. Symp. on Antennas and Propagation, Toronto, Canada, Jul.11-17, 2010, pp.1-4.
[4] J. Teizer, B. S. Allread, and U. Mantripragada, “Automating the blind spot measurement of construction equipment,” Automation in Construction, vol.19, issue 4, pp.491-501, 2010.
[5] T. Mondal, P. Shishodiya, R. Ghatak, and S. R. B. Chaudhuri, "Vehicular radio scanner using phased array antenna for dedicated short range communication service," Journal of Electromagnetic Analysis and Applications, vol.4, no.9, pp.362-366, 2012.
[6] S. Sivaraman and M. M. Trivedi, "A review of recent developments in vision-based vehicle detection," in Proc. of IEEE Intelligent Vehicles Symp., Queensland, Australia, Jun.23-26, 2013, pp.310-315.
[7] G. Toulminet, M. Bertozzi, S. Mousset, A. Bensrhair, and A. Broggi, "Vehicle detection by means of stereo vision-based obstacles features extraction and monocular pattern analysis," IEEE Transactions on Image Processing, vol.15, no.8, pp.2364-2375, 2006.
[8] P. Chang, D. Hirvonen, T. Camus, and B. Southall, "Stereo-based object detection, classification, and quantitative evaluation with automotive applications," in Proc. of Computer Vision and Pattern Recognition-Workshops, San Diego, CA, Jun.25, 2005, pp.62-62.
[9] I. Cabani, G. Toulminet, and A. Bensrhai, "Contrast-invariant obstacle detection system using color stereo vision," in Proc. of Intelligent Transportation Systems, Beijing, China, Oct.12-15, 2008, pp.1032-1037.
[10] U. Franke, C. Rabe, H. Badino, and S. Gehrig, "6d-vision: Fusion of stereo and motion for robust environment perception," Lecture Notes in Computer Science Pattern Recognition, vol.3663, pp.216-223, 1973.
[11] R. E. Kalman, "A new approach to linear filtering and prediction problems," Journal of Fluids Engineering, vol.82, no.1, pp.35-45, 1960.
[12] A. Barth and U. Franke, "Estimating the driving state of oncoming vehicles from a moving platform using stereo vision," IEEE Transactions on Intelligent Transportation Systems, vol.10, no.4, pp.560-571, 2009.
[13] L.-W. Tsai, J.-W. Hsieh, and K.-C. Fan, "Vehicle detection using normalized color and edge map," IEEE Transactions on Image Processing, vol.16, no.3, pp.850-864, 2007.
[14] Z. W. Kim and J. Malik, "Fast vehicle detection with probabilistic feature grouping and its application to vehicle tracking," in Proc. of IEEE International Conference on Computer Vision, Ninth, France, Oct.13-16, 2003, pp.524-531.
[15] M. Betke, E. Haritaoglu, and L. S. Davis, "Real-time multiple vehicle detection and tracking from a moving vehicle," Machine vision and applications, vol.12, no.2, pp.69-83, 2000.
[16] Y.-L. Chen, B.-F. Wu, H.-Y. Huang, and C.-J. Fan, "A real-time vision system for nighttime vehicle detection and traffic surveillance," IEEE Transactions on Industrial Electronics, vol.58, no.5, pp.2030-2044, 2011.
[17] S.-S. Huang, C.-J. Chen, P.-Y. Hsiao, and L.-C. Fu, "On-board vision system for lane recognition and front-vehicle detection to enhance driver′s awareness," in Proc. IEEE International Conference on Robotics and Automation, vol.3, New Orleans LA, USA, Apr.30-May 1, 2004, pp.2456-2461.
[18] H. Mori, N. M. Charkari, and T. Matsushita, "On-line vehicle and pedestrian detections based on sign pattern," IEEE Transactions on Industrial Electronics, vol.41, no.4, pp.384-391, 1994.
[19] N. Srinivasa, "Vision-based vehicle detection and tracking method for forward collision warning in automobiles," in Proc. of IEEE Intelligent Vehicle Symposium, vol.2, Versailles, France, Jun.17-21, 2002, pp.626-631.
[20] Z. Sun, G. Bebis, and R. Miller, "On-road vehicle detection using evolutionary Gabor filter optimization," IEEE Transactions on Intelligent Transportation Systems, vol.6, no.2, pp.125-137, 2005.
[21] R. Mehrotra, K. R. Namuduri, and N. Ranganathan, "Gabor filter-based edge detection," Pattern Recognition, vol.25, no.12, pp.1479-1494, 1992.
[22] T. P. Weldon, W. E. Higgins, and D. F. Dunn, "Efficient Gabor filter design for texture segmentation," Pattern Recognition, vol.29, no.12, pp.2005-2015, 1996.
[23] A. K. Jain and F. Farrokhnia, "Unsupervised texture segmentation using Gabor filters," in Proc. of IEEE International Conference on Systems, Man and Cybernetics, Los Angeles, CA, Nov.4-7, 1990, pp.14-19.
[24] T. Hofmann, J. Puzicha, and J. M. Buhmann, "Unsupervised texture segmentation in a deterministic annealing framework," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, no.8, pp.803-818, 1998.
[25] Y. Hamamoto, S. Uchimura, M. Watanabe, T. Yasuda, Y. Mitani, and S. Tomita, "A Gabor filter-based method for recognizing handwritten numerals," Pattern Recognition, vol.31, no.4, pp.395-400, 1998.
[26] K.-C. Chung, S. Kee, and S. Kim, "Face recognition using independent component analysis of Gabor filter responses," in Proc. of IAPR Workshop on machine vision applications, Tokyo, Japan, Nov.28-30, 2000, pp.331-334.
[27] B. S. Manjunath and W.-Y. Ma, "Texture features for browsing and retrieval of image data," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.18, no.8, pp.837-842, 1996.
[28] T. P. Weldon, W. E. Higgins, and D. F. Dunn, "Gabor filter design for multiple texture segmentation," Optical Engineering, vol.35, no.10, pp.2852-2863, 1996.
[29] R. Cucchiara, C. Grana, M. Piccardi, A. Prati, and S. Sirotti, "Improving shadow suppression in moving object detection with HSV color information," in Proc. of Intelligent Transportation Systems, Oakland, CA, Aug.25-29, 2001, pp.334-339.
[30] A. Kammari, F. Nashashibi, Y. Abramson, and C. Laurgeau, "Vehicle detection combining gradient analysis and AdaBoost classification," in Proc. of IEEE Intelligent Transportation Systems, Vienna, Austria, Sep.13-15, 2005, pp.66-71.
[31] S. Avidan, "Subset selection for efficient SVM tracking," in Proc. of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol.1, Madison, Wisconsin, Jun.18-20, 2003, pp.I-85-I-92.
[32] Y. Freund and R. E. Schapire, "A desicion-theoretic generalization of on-line learning and an application to boosting," Computational learning theory, vol.904, pp.23-37, 2005.
[33] T. K. ten Kate, M. B. van Leewen, S. E. Moro-Ellenberger, B. J. F. Driessen, A. H. G. Versluis, and F. C. A. Groen, "Mid-range and distant vehicle detection with a mobile camera," in Proc. of IEEE Intelligent Vehicles Symposium, Parma, Italy, Jun.14-17, 2004, pp.72-77.
[34] R. Cucchiara, C. Grana, M. Piccardi, and A. Prati, "Detecting moving objects, ghosts, and shadows in video streams," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.25, no.10, 2003, pp.1337-1342.
[35] K. She, G. Bebis, H. Gu, and R. Miller, "Vehicle tracking using on-line fusion of color and shape features," in Proc. of IEEE Conference on Intelligent Transportation Systems, Washington DC, USA, Oct.3-6, 2004, pp.731-736.
[36] Z. Sun, G. Bebis, and R. Miller, "Monocular precrash vehicle detection: features and classifiers," IEEE Transactions on Image Processing, vol.5, no.7, pp.2019-2034, 2006.
[37] C.-C. R. Wang and J.-J. J. Lien, “Automatic vehicle detection using local features: a statistical approach,” IEEE Transactions on Intelligent Transportation Systems, vol.9, no.1, pp.83-96, 2008.
[38] W.-C. Chang and C.-W. Cho, “Online boosting for vehicle detection,” IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol.40, no.3, pp.892-902, 2010.
[39] S. Sivaraman and M. M. Trivedi, "A general active-learning framework for on-road vehicle recognition and tracking," IEEE Transactions on Intelligent Transportation Systems, vol.11, no.2, pp.267-276, 2010.
[40] S. Sivaraman and M. M. Trivedi, "Active learning for on-road vehicle detection: A comparative study," Machine vision and applications, vol.25, no.3, pp.599-611, 2014.
[41] Q. Yuan, A. Thangali, V. Ablavsky, and S. Sclaroff, "Learning a family of detectors via multiplicative kernels," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.33, no.3, pp.514-530, 2011.
[42] N. Dalal and B. Triggs, "Histograms of oriented gradients for human detection." in Proc. of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol.1, San Diego, CA, Jun.25, 2005, pp.886-893.
[43] C. Cortes and V. Vapnik, "Support-vector networks," Machine learning, vol.20, no.3, pp.273-297, 1995.
[44] H. T. Niknejad, A. Takeuchi, S. Mita, and D. McAllester, "On-road multivehicle tracking using deformable object model and particle filter with improved likelihood estimation," IEEE Transactions on Intelligent Transportation Systems, vol.13, no.2, pp.748-758, 2012.
[45] Y. Hayakawa and O. Fukata, All Round Blind Spot Detection by Lens Condition Adaptation based on Rearview Camera Images, SAE Technical Paper, 2013.
[46] B.-F. Wu, H.-Y. Huang, C.-J. Chen, Y.-H. Chen, C.-W. Chang, and Y.-L. Chen, "A vision-based blind spot warning system for daytime and nighttime driver assistance," Computers and Electrical Engineering, vol.39, no.3, pp.846-862, 2013.
[47] S. Sivaraman and M. M. Trivedi, "Vehicle detection by independent parts for urban driver assistance," IEEE Transactions on Intelligent Transportation Systems, vol.14, no.4, pp.1597-1608, 2013.
[48] P. Chanawangsa and C. W. Chen, "A novel video analysis approach for overtaking vehicle detection," in Proc. of IEEE International Conference on Connected Vehicles and Expo, Las Vegas, NV, Dec.2-6, 2013, pp.802-807.
[49] A. Broggi, E. Cardarelli, S. Cattani, P. Medici, and M. Sabbatelli, "Vehicle detection for autonomous parking using a Soft-Cascade AdaBoost classifier," in Proc. of Intelligent Vehicles Symposium, Dearborn, MI, Jun.8-11, 2014, pp.912-917.
[50] A. Haselhoff and A. Kummert, "A vehicle detection system based on haar and triangle features," in Proc. of IEEE Intelligent Vehicles Symposium, Xi′an, China, Jun.3-5, 2009, pp.261-266.
[51] S. Singh, R. Meng, S. Nelakuditi, Y. Tong, and S. Wang, "SideEye: Mobile assistant for blind spot monitoring," in Proc. of IEEE International Conference on Computing, Networking and Communications, Honolulu, HI, Feb.3-6, 2014, pp.408-412.
[52] O. Achler and M. M. Trivedi, "Vehicle wheel detector using 2D filter banks," in Proc. IEEE Intelligence Vehicles Symp., Parma, Italy, Jun.14-17, 2004, pp.25-30.
[53] N. Blanc, B. Steux, and T. Hinz, "LaRASideCam - a fast and robust vision-based blindspot detection system," in Proc. IEEE Intelligent Vehicles Symp., Istanbul, Turkey, Jun.13-15, 2007, pp.480-485.
[54] R. O’Malley, M. Glavin, and E. Jones, "Vision-based detection and tracking of vehicles to the rear with perspective correction in low-light conditions," IET Intell. Transp. Syst., vol.5, no.1, pp.1-10, 2011.
[55] E. Y. Chung, H. C. Jung, E. Chang, and I. S. Lee, "Vision based for lane change decision aid system," in Proc. 1st Int. Forum on Strategic Technology, Ulsan, Korea, Oct.18-20, 2006, pp.10-13.
[56] M. Krips, J. Velten, A. Kummert, and A. Teuner, "AdTM tracking for blind spot collision avoidance," in Proc. of IEEE Intelligent Vehicles Symp., Parma, Italy, Jun.14-17, 2004, pp.544-548.
[57] B.-F. Wu, Y.-H. Chen, C.-C. Kao, Y.-F. Li, and C.-J. Chen, “A vision-based collision warning system by surrounding vehicles detection,” KSII Trans. on Internet and Information Systems, vol.6, no.4, pp.1203-1222, 2012.
[58] B.-F. Wu, C.-C. Kao, Y.-F. Li, and M.-Y. Tsai, "A real-time embedded blind spot safety assistance system," International Journal of Vehicular Technology, vol.2012, pp.1-15 doi:10.1155/2012/506235, 2012.
[59] J.-D. Lee and K.-F. Huang, “A warning system for obstacle detection at vehicle lateral blind spot area,” in Proc. of IEEE conf. on Modeling Symposium, Hong Kong, China, Jun.23-25, 2013, pp.154-159.
[60] J. Arróspide, L. Salgado, and M. Camplani, “Image-based on-road vehicle detection using cost-effective histograms of oriented gradients,” Journal of Visual Communication and Image Representation, vol.24, issue 7, pp.1182-1190, 2013.
[61] W. Li, P. Liu, Y. Wang, and H. Ni, ”Multifeature fusion vehicle detection algorithm based on choquet integral,” Journal of Applied Mathematics, vol.2014, Article ID 701058, 2014.
[62] R. K. Satzoda and M. M. Trivedi, “Overtaking & receding vehicle detection for driver assistance and naturalistic driving studies,” in Proc. of IEEE Conference on Intelligent Transportation Systems, Qingdao, China, Oct.8-11, 2014, pp.697-702.
[63] X. Wen, L. Shao, Y. Xue, and W. Fang, “A rapid learning algorithm for vehicle classification,” Information Sciences, vol.295, no.20, pp.395-406, 2015.
[64] Y.-M. Tsai, K.-Y. Huang, C.-C. Tsai, and L.-G. Chen, "An exploration of on-road vehicle detection using hierarchical scaling schemes," in Proc. of IEEE International Conference on Image Processing, Hong Kong, China, Sep.26-29, 2010, pp.3937-3940.
[65] B.-F. Lin, Y.-M. Chan, L.-C. Fu, P.-Y. Hsiao, L.-A. Chuang, and S.-S. Huang, "Incorporating appearance and edge features for vehicle detection in the blind-spot area," in Proc. of IEEE Conference on Intelligent Transportation Systems, Funchal, Portugal, Sep.19-22, 2010, pp.869-874.
[66] B.-F. Lin, Y.-M. Chan, L.-C. Fu, P.-Y. Hsiao, L.-A. Chuang, S.-S. Huang, and M.-F. Lo, "Integrating appearance and edge features for sedan vehicle detection in the blind-spot area," IEEE Transactions on Intelligent Transportation Systems, vol.13, no.2, pp.737-747, 2012.
[67] V. Milanés, D. F. Llorca, J. Villagrá, J. Pérez, C. Fernández, I. Parra, C. González, and M. A. Sotelo, "Intelligent automatic overtaking system using vision for vehicle detection," Expert Systems with Applications, vol.39, no.3, pp.3362-3373, 2012.
[68] K. S. C. Kumar and T. Elxs, "An application for stereo vision based vehicle/obstacle detection for driver assistance," International Journal of Computer Applications, vol.69, no.21, pp.13-17, 2013.
[69] A. Jazayeri, H. Cai, J. Y. Zheng, and M. Tuceryan, "Vehicle detection and tracking in car video based on motion model," IEEE Transactions on Intelligent Transportation Systems, vol.12, no.2, pp.583-595, 2011.
[70] A. Provskaya and S. Thrun, "Model based vehicle detection and tracking for autonomous urban driving," Autonomous Robots, vol.26, issue.2, pp.123-139, 2009.
[71] P. H. Batavia, D. Pomerleau, and C. E. Thorpe, "Overtaking vehicle detection using implicit optical flow," in Proc. of IEEE Conference on Intelligent Transportation System, Boston, MA, Nov.9-12, 1997, pp.729-734.
[72] W. Krüger, W. Enkelmann, and S. Rössle, "Real-time estimation and tracking of optical flow vectors for obstacle detection," in Proc. of the Intelligent Vehicles′95 Symposium, Detroit, MI, Sep.25-26, 1995, pp.304-309.
[73] A. Talukder and L. Matthies, "Real-time detection of moving objects from moving vehicles using dense stereo and optical flow," in Proc. of IEEE International Conference on Intelligent Robots and Systems, vol.4, Sendai, Japan, Sep.28-Oct.2, 2004, pp.3718-3725.
[74] Y. Zhu, D. Comaniciu, M. Pellkofer, and T. Koehler, “Reliable detection of overtaking vehicles using robust information fusion,” IEEE Transactions on Intelligent Transportation Systems, vol.7, no.4, pp.401-414, 2006.
[75] A. Jazayeri, H. Cai, J. Y. Zheng, and M. Tuceryan, "Vehicle detection and tracking in car video based on motion model," IEEE Transactions on Intelligent Transportation Systems, vol.12, no.2, pp.583-595, 2011.
[76] F. Garcia, P. Cerri, A. Broggi, A. D. Escalera, and J. M. Armingol, "Data fusion for overtaking vehicle detection based on radar and optical flow," in Proc. of IEEE Intelligent Vehicles Symp., Alcala de Henares, Spain, Jun.3-7, 2012, pp.494-499.
[77] S. Mota, E. Ros, E. M. Ortigosa, and F. J. Pelayo, "Bio-inspired motion detection for a blind spot overtaking monitor," Int. Journal of Robotics and Automation, vol.19, no.4, pp.190-196, 2004.
[78] N. Ohta and K. Niijima, “Detection of approaching cars via artificial insect vision,” Electronics and Communications in Japan, vol.88, no.10, pp.57-65, 2005.
[79] J. D. Alonso, E. R. Vidal, A. Rotter, and M. Mühlenberg, "Lane-change decision aid system based on motion-driven vehicle tracking," IEEE Trans. on Vehicular Technology, vol.57, no.5, pp.2736-2746, 2008.
[80] D. Dooley, B. McGinley, C. Hughes, L. Kilmartin, E. Jones, and M. Glavin, "A blind-zone detection method using a rear-mounted fisheye camera with combination of vehicle detection methods," IEEE Transactions on Intelligent Transportation Systems, vol.PP, no.99, pp.1-15, 2015.
[81] J. Wang, G. Bebis, and R. Miller, "Overtaking vehicle detection using dynamic and quasi-static background modeling," in Proc. of IEEE Conf. on Computer Vision and Pattern Recognition, Reno, Nevada, Jun.20-26, 2005, pp.64-71.
[82] A. Ramirez, E. Ohn-Bar, and M. M. Trivedi, “Go with the flow: improving multi-view vehicle detection with motion cues,” in Proc. of IEEE International Conference on Pattern Recognition, Stockholm, Sweden, Aug.24-28, 2014, pp.1051-4651.
[83] S. Baek, H. Kim, and K. Boo, “Robust estimation of vehicle recognition on curved roads using a rear-side view vision system,” International journal of precision engineering and manufacturing, vol.15, issue 4, pp.753-760, 2014.
[84] J. Wang, G. Bebis, and R. Miller, "Overtaking vehicle detection using dynamic and quasi-static background modeling," in Proc. of IEEE Conf. on Computer Vision and Pattern Recognition, Reno, Nevada, Jun.20-26, 2005, pp.64-71.
[85] A. Jazayeri, H. Cai, J. Y. Zheng, and M. Tuceryan, “Vehicle detection and tracking in car video based on motion model,” IEEE Transaction on Intelligent Transportation Systems, vol.12, issue 2, pp.583-595, 2011.
[86] J. Choi, Realtime on-road vehicle detection with optical flows and Haar-like feature detectors, Technical Report, University of Illinois at Urbana-Champaign, 2012.
[87] L. Van, B. Marinus, and C. A. G. Frans, "Vehicle detection with a mobile camera: spotting midrange, distant, and passing cars," IEEE Robotics and Automation Magazine, vol.12, no.1, pp.37-43, 2005.
[88] P. Lenz, J. Ziegler, A. Geiger, and M. Roser, "Sparse scene flow segmentation for moving object detection in urban environments," in Proc. of IEEE Intelligent Vehicles Symposium, Baden-Baden, Germany, Jun.5-9, 2011, pp.926-932.
[89] K. Kiratiratanapruk and S. Siddhichai, "Vehicle detection and tracking for traffic monitoring system," in Proc. of IEEE Region 10 Conference 2006, Hong Kong, China, Nov.14-17, 2006, pp.1-4.
[90] Y.-C. Kuo, N.-S. Pai, and Y.-F. Li, "Vision-based vehicle detection for a driver assistance system," Computers and Mathematics with Application, vol.61, no.8, pp.2096-2100, 2011.
[91] C. Ferández, D. F. Llorca, M. A. Sotelo, I. G. Daza, A. M. Hellín, and S. Álvarez, “Real-time vision-based blind spot warning system: experiments with motorcycles in daytime/nighttime conditions,” Int. Journal of Automotive Technology, vol.14, no.1, pp.113-122, 2013.
[92] J. Saboune, M. Arezoomand, L. Martel, and R. Laganiere, “A visual blindspot monitoring system for safe lane changes,” Lecture Notes in Computer Science in Image Analysis and Processing-ICIAP, vol.6979, pp.1-10, 2011.
[93] S. Tan, J. Dale, A. Anderson, and A. Johnston, "Inverse perspective mapping and optic flow: A calibration method and a quantitative analysis", Image and Vision Computing, vol.24, issue 2, pp.153-165, 2006.
[94] M.-H. Yang and N. Ahuja, “Gaussian mixture model for human skin color and its applications in image and video databases,” in Proc. IS&T/SPIE Conf. on Storage and Retrieval for Image and Video Databases VII, San Jose, CA, Jan.26-29, 1999, pp.458-466.
[95] A. Giachetti, M. Campani, and V. Torre, “The use of optical flow for road navigation,” IEEE Trans. on Robotics and Automation, vol.14, no.1, pp.34-48, 1998.
[96] J. L. Barron, D. J. Fleet, and S. S. Beauchemin, "Performance of optical flow techniques," International journal of computer vision, vol.12, no.1, pp.43-77, 1994.
[97] J. Weng, N. Ahuja, and T. S. Huang, "Matching two perspective views," IEEE Trans. on Pattern Analysis & Machine Intelligence, vol.14, no.8, pp.806-825, 1992.
[98] S. M. Smith, "ASSET-2: Real-time motion segmentation and object tracking," Real-Time Imaging, vol.4, no.1, pp.21-40, 1998.
[99] D. Koller, N. Heinze, and H. H. Nagel, "Algorithmic characterization of vehicle trajectories from image sequences by motion verbs," in Proc. of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Maui, HI, Jun.3-6, 1991, pp.90-95.
[100] J. Y. Bouguet, Pyramidal implementation of the affine lucas kanade feature tracker description of the algorithm, Technical Report, Intel Microprocessor Research Labs., 2001.
[101] J. Y. Bouguet, Pyramidal implementation of the Lucas Kanade feature tracker: Description of the algorithm, Technical Report, Intel Microprocessor Research Labs., 1999.
[102] S. J. Mason and N. E. Graham, “Areas beneath the relative operating characteristics (ROC) and relative operating levels (ROL) curves: Statistical significance and interpretation,” Quarterly Journal of the Royal Meteorological Society, vol.128, pp. 2145-2166, 2002. |