Television – Special applications – Navigation
Reexamination Certificate
2008-01-08
2008-01-08
Rao, Anand (Department: 2621)
Television
Special applications
Navigation
C348S120000
Reexamination Certificate
active
10919285
ABSTRACT:
A plurality of cameras respectively input an image from different camera positions. The plurality of cameras is on a moving object. An image memory stores a plurality of images input by the plurality of cameras. An image transformation unit transforms one image input by a first camera using each of a plurality of transformation parameters each representing a geometrical relationship among a predetermined plane, the first camera, and a second camera, and generates a plurality of transformed images from a view position of the second camera. A matching processing unit compares each of the plurality of transformed images with another image input by the second camera for each area consisting of pixels, and calculates a coincidence degree of each area between each transformed image and another image. An obstacle detection unit detects an obstacle area consisting of areas each having a coincidence degree below a threshold from another image.
REFERENCES:
patent: 5410346 (1995-04-01), Saneyoshi et al.
patent: 5892855 (1999-04-01), Kakinami et al.
patent: 6157876 (2000-12-01), Tarleton et al.
patent: 6411898 (2002-06-01), Ishida et al.
patent: 6661449 (2003-12-01), Sogawa
patent: 6735557 (2004-05-01), Castellar et al.
patent: 2006/0055776 (2006-03-01), Nobori et al.
Hattori Hiroshi
Onoguchi Kazunori
Takeda Nobuyuki
Kabushiki Kaisha Toshiba
Oblon & Spivak, McClelland, Maier & Neustadt P.C.
Rao Anand
LandOfFree
Obstacle detection apparatus and method does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Obstacle detection apparatus and method, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Obstacle detection apparatus and method will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3910486