參考文獻 |
[1] Araki, S., T. Matsuoka, H. Takemura, and N. Yokoya, “Real-time
tracking of multiple moving objects in moving camera image sequences
using robust statistics,” in Proc. IEEE Int’l Conf. on Pattern
Recognition, Brisbane, Australia, Aug.16-20, 1998, pp.1433-1435.
[2] Bensrhair, A., A. Bertozzi, A. Broggi, A. Fascioli, S. Mousset, and G.
Toulminet, “Stereo vision-based feature extraction for vehicle
detection,” in Proc. IEEE Intelligent Vehicle Sym., Versailles, France,
June 7-21, 2002, pp.465-470.
[3] Bertozzi, M., A. Broggi, and S. Castelluccio, “A real-time oriented
system for vehicle detection,” Journal of Systems Architecture,
pp.317-325, Mar. 1997.
[4] Bertozzi, M. and A. Broggi, “GOLD: a parallel real-time stereo vision
system for generic obstacle and lane detection,” IEEE Trans. on Image
Processing, vol.7, no.1, pp.62-81, Jan. 1998.
[5] Bertozzi, M., A. Broggi, A. Fascioli, and S. Nichele, “Stereo
vision-based vehicle detection,” in Proc. IEEE Intelligent Vehicles
Sym., Dearborn, MI, Oct.3-5, 2000, pp.39-44.
[6] Betke, M., E. Haritaoglu, and L. S. Davis, “Real-time multiple vehicle
detection and tracking from a moving vehicle,” Machine Vision and
Applications, vol.12, pp.69-83, Sep. 2000.
[7] Broggi, A., M. Bertozzi, A. Fascioli, C. Guarino Lo Bianco, and A.
Piazzi, “Visual perception of obstacles and vehicles for platooning,”
IEEE Trans. Intelligent Transportation Systems, vol.1, pp.164-176, Sep.
2000.
[8] Bucher, T., C. Curio, J. Edelbrunner, C. Igel, D. Kastrup, I. Leefken, G.
Lorenz, A. Steinhage, and W. von Seelen, “Image processing and
- 76 -
behavior planning for intelligent vehicles,” IEEE Trans. Industrial
Electronics, vol.50, Issue.1, pp.62-75, Feb. 2003.
[9] Chen, K.-W., Monocular Computer Vision Technigues for Road and
Situation Detection, Master thesis, Computer Science and Information
Engineering Dept., National Central Univ., Chung-li, Taoyuan, Taiwan,
2005.
[10] Chen, Y.-L., Y.-H. Chen, C.-J. Chen, and B.-F. Wu, “Nighttime vehicle
detection for driver assistance and autonomous vehicles,” in Proc.
IEEE 18th Int’l Conf. on Pattern Recognition, Hong Kong, China,
Aug.20-24, 2006, pp.687-690.
[11] Chern, M.-Y. and B.-Y. Shyr, “Locating nearby vehicles on highway at
daytime based on the front vision of a moving car,” in Proc. IEEE Conf.
on Robotics and Automation, Taipei, Taiwan, Sep.14-19, 2003,
pp.2085-2090.
[12] Chern, M.-Y. and P.-C. Hou, “The lane recognition and vehicle
detection at night for a camera-assisted car on highway,” in Proc. IEEE
Conf. on Robotics and Automation, Taipei, Taiwan, Sep.14-19, 2003,
pp.2110-2115.
[13] Chern, M.-Y., “Development of a vehicle vision system for vehicle/lane
detection on highway,” in Proc. of the 18th IPPR Conf. on Computer
Vision, Graphics and Image Processing, Taipei, Taiwan, Aug.21-23,
2005, pp.803-810.
[14] Chu J., L. Ji, L. Guo, Libibing, and R. Wang, “Study on method of
detecting preceding vehicle based on monocular camera,” in Proc.
IEEE Intelligent Vehicles Sym., Parma, Italy, June 14-17, 2004,
pp.750-755.
[15] Clady, X., F. Collange, F. Jurie, and P. Martinet, “Cars detection and
- 77 -
tracking with a vision sensor,” in Proc. IEEE Intelligent Vehicles Sym.,
Columbus, Ohio, June 9-11, 2003, pp.593-598.
[16] Cucchiara, R. and M. Piccardi, “Vehicle detection under day and night
illumination,” in Proc. IEEE Int’l ICSC Sym. Intelligent Industrial
Automation, 1999.
[17] Dagan, E., O. Mano, G. P. Stein, and A. Shashua, “ Forward collision
warning with a single camera,” in Proc. IEEE Intelligent Vehicle Sym.,
Parma, Italy, June 14-17, 2004, pp.37-42.
[18] Du, Y. and N.P. Papanikolopoulos, “Real-time vehicle following
through a novel symmetry-based approach,” in Proc. IEEE Int’l Conf.
on Robotics and Automation, Albuquerque, NM, Apr.20-25, 1997,
pp.3160-3165.
[19] Heisele, B. and W. Ritter, “Obstacle detection based on color blob
flow,” in Proc. IEEE Intelligent Vehicles Sym., Detroit, MI, Sep.25-26,
1995, pp.282-286.
[20] Hoffmann, C., T. Dang, and C. Stiller, “Vehicle detection fusing 2D
visual features,” in Proc. IEEE Intelligent Vehicles Sym., Parma, Italy,
June 14-17, 2004, pp.280-285.
[21] Hu, Z. and K. Uchimura, “Tracking cycle: a new concept for
simultaneous tracking of multiple moving objects in a typical traffic
scene,” in Proc. IEEE Intelligent Vehicles Sym., Dearborn, MI, Oct.3-5,
2000, pp.233-239.
[22] Huang, S.-S., 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 Int’l Conf. on Robotics and
Automation, New Orleans LA, Apr.26 - May 1, 2004, pp.2456-2461.
[23] Huang, Y.-C. and D.-C. Tseng, “A vision-based vehicle to vehicle
- 78 -
detection and tracking system,” in Proc. of the 18th IPPR Conf. on
Computer Vision, Graphics and Image Processing, Taipei, Taiwan,
Aug.21-23, 2005.
[24] Jung, C. R. and Christian, R. K., “A lane departure warning system
using lateral offset with uncalibrated camera,” in Proc. IEEE Conf. on
Intelligent Transportation System, Vienna, Austria, Sep.13-16, 2005,
pp.348-353.
[25] Kate, T. K., M. B. van Leewen, S. E. Moro-Ellenberger, B. J. F.
Dressen, A. H. G. Versluis, and F. C. A. Groen, “Mid-range and distant
vehicle detection with a mobile camera,” in Proc. IEEE Conf. on
Intelligent Vehicles, Parma, Italy, June 14-17, 2004, pp.72-77.
[26] Lai, T.-C., A Real-Time Robust On-Vehicle Generic Obstacle and Lane
Detection System Based on Computer Vision Technique, Master thesis,
Electronic and Control Engineering Dept., National Chiao Tung Univ.,
Hsinchu, Taiwan, 2005.
[27] Leeuwen van and C. A. Groen, "Vehicle detection with a mobile
camera: spotting midrange, distant, and passing cars," Robotics and
Automation, vol.12, pp.37-43, 2005.
[28] Nagumo, S. H. Hasegawa, and N, Okamoto, "Extraction of forward
vehicles by front-mounted camera using brightness information," in
Proc. IEEE Conf. on Electrical and computer engineering, Montreal,
May.4-7, 2003, pp.1243-1246.
[29] Raboisson, S. and P. Schmouker, "Obstacle detection in highway
environment by color CCD camera and image processing prototype
installed in a vehicle," in Proc. IEEE Intelligent Vehicles Sym., Paris,
France, Oct.24-26, 1994, pp.44-49.
[30] Regensburger, U. and V. Graefe, "Visual recognition of obstacles on
- 79 -
roads," in Proc. IEEE Int’l Conf. on Intelligent Robots and
Systems, Munich, Germany, Sep.12-16, 1994, pp.980-987.
[31] Rojas, J. C., and J. D. Crisman, "Vehicle detection in color images," in
Proc. IEEE Conf. on Intelligent Transportation System, Boston, MA,
Nov.9-12, 1997, pp.403-408.
[32] Shih, H.-W. and D.-C. Tseng, "Visual detection of preceding vehicles
and their brake / turn lights," in Proc. of the 19th IPPR Conf. on
Computer Vision, Graphics and Image Processing, Taoyuan, Taiwan,
Aug.13-15, 2006.
[33] Shyr, B.-Y., Daytime Detection of Leading and Neighboring Vehicles
on Highway: A Major Capability for the Driver Assistant Vision System,
Master thesis, Elect. Eng. Dept., National Chung Cheng Univ., Chia-yi,
Taiwan, 2003.
[34] Srinivasa, N., "Vision-based vehicle detection and tracking method for
forward collision warning in automobiles," in Proc. IEEE Intelligent
Vehicle Sym., Jun.17-21, 2002, pp.626-631.
[35] Stein, G. P., O. Mano, and A. Shashua, " Vision-based ACC with a
single camera: bounds on range and range rate accuracy," in Proc.
IEEE Intelligent Vehicle Sym., Ohio, USA, June 9-11, 2003,
pp.120-125.
[36] Sukthankar, P., "RACCON: A real-time autonomous car chaser
operating optimally at night," in Proc. SICE Conf., July 25-27, 2001,
pp.38-41.
[37] Wang, C.-C.,, Driver Assistance System for Lane Departure Prevention
and Collision Avoidance with Night Vision, Master thesis, Computer
Science and Information Engineering Dept., National Taiwan Univ.,
Taipei, Taiwan, 2004.
- 80 -
[38] Wang, C.-C., C.-J. Chen, Y.-M. Chan, L.-C. Fu, and P.-Y. Hsiao, "Lane
detection and vehicle recognition for driver assistance system at
daytime and nighttime," in Image and Recognition Magazine, vol.12,
no.2, 2006, pp.4-17.
[39] Wu, B.-F., Y.-L. Chen, and C.-C. Chiu, " A discriminant analysis based
recursive automatic thresholding approach for image segmentation,"
IEICE Trans. Info. System, vol.E88-D, no.7, pp.1716-1723, 2005.
[40] Zehang, S., G. Bebis, and R. Miller, "On-road vehicle detection using
Gabor filters and support vector machines," in Proc. Int’l Conf. on
Digital Signal Processing, Greece, July 1-3, 2002, pp.1019-1022.
[41] Zehang, S., R. Miller, G. Bebis, and D. DiMeo, "A real-time precrash
vehicle detection system," in Proc. IEEE Conf. on Applications of
Computer Vision, Orlando, FL, Dec.3-4, 2002, pp.171-176.
[42] Zehang, S., G. Bebis, and R. Miller, "On-road vehicle detection using
optical sensors: A review," in IEEE Int’l Conf. on Intelligent
Transportation Systems, Washington DC, Oct.3-6, 2004, pp.585-590.
[43] Zehang, S., G. Bebis, and R. Miller, "On-Road Vehicle Detection: A
Review," IEEE Trans. on Pattern Analysis and Machine Intelligence,
vol.28, no.5, pp.694-711, 2006.
[44] Zhihong, Z. and M. Songde, "An efficient vision system for multiple
car tracking," in Proc. IEEE Int’l Conf. on Pattern Recognition, Quebec,
Canada, Aug.11-15, 2002, pp.609-612.
[45] Zielke, T., M. Brauckmann, and W. Von Seelen, "Intensity and
edge-based symmetry detection with an application to car-following,"
Image Understanding, vol.58, no.2, pp.177-190, 1993. |