Data processing: vehicles – navigation – and relative location – Navigation – Employing position determining equipment
Reexamination Certificate
2008-05-08
2011-10-25
Jeanglaude, Gertrude Arthur (Department: 3661)
Data processing: vehicles, navigation, and relative location
Navigation
Employing position determining equipment
C701S206000, C701S208000, C701S211000, C340S995140, C340S995240, C340S995270
Reexamination Certificate
active
08046167
ABSTRACT:
A method and a processing device may provide navigational information including non-photographic cues, such as, contextual color, texture, and structure cues, corresponding to physical entities visible to a party traveling along a determined route. In one embodiment, the non-photographic cues may be previously stored in a database. In another embodiment, non-photographic cues may be extracted from at least one provided image of a geographic area. In a third embodiment, a sequence of non-photographic cues may be automatically extracted from at least one image of a geographic area and, if the sequence of non-photographic cues was not previously saved, the sequence of non-photographic cues may be saved, along with related information, for later use when the sequence of non-photographic cues corresponds to a desired location. The provided navigational information may be presented in a number of ways including a simplified map, textual instructions, or generated speech.
REFERENCES:
patent: 5381338 (1995-01-01), Wysocki et al.
patent: 6038559 (2000-03-01), Ashby et al.
patent: 6199014 (2001-03-01), Walker et al.
patent: 6449384 (2002-09-01), Laumeyer et al.
patent: 7089110 (2006-08-01), Pechatnikov et al.
patent: 7092548 (2006-08-01), Laumeyer et al.
patent: 7251561 (2007-07-01), Dotan et al.
patent: 2002/0123841 (2002-09-01), Satoh et al.
patent: 2006/0142941 (2006-06-01), Imai et al.
patent: 2006/0230337 (2006-10-01), Lamont et al.
Wang et al., “Road Extraction from Remote Sensing Image Based on Multi-resolution Analysis”, pp. 4.
Predic et al., “Developing Context Aware Support in Mobile GIS Framework”, Presented at the 9th AGILE Conference on Geographic Information Science, 2006, pp. 8.
“Virtual Earth Enterprise”, 2007, Microsoft Corporation, pp. 4.
Pomplun et al., “Investigating the Visual Span in Comparative Search: The Effects of Task Difficulty and Divided Attention”, Cognition, vol. 81, No. 2, Sep. 2001, pp. 19.
Ulrich et al., “Appearance-Based Obstacle Detection with Monocular Color Vision”, Proceedings of the AAAI National Conference on Artificial Intelligence, Jul./Aug. 2000, pp. 6.
Turk et al., “VITS-A Vision System for Autonomous Land Vehicle Navigation”, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Computer Society, vol. 10 , No. 3 May 1988, pp. 342-361.
Lorigo et al., “Visually-guided Obstacle Avoidance in Unstructured Environments”, Proceedings of the 1997 IEEE/RSJ International Conference on Intelligent Robots and Systems, vol. 1, Sep. 1997, pp. 7.
Knotts et al., “NaviGates: A Benchmark for Indoor Navigation”, Proceedings of the Third International Conference and Exposition on Robotics for Challenging Environments, 1998, pp. 1-8.
Kolluru Nagendra V
Mishra Pragyana K
Capitol City TechLaw
Irving Richard C.
Jeanglaude Gertrude Arthur
Microsoft Corporation
LandOfFree
Navigation with contextual color, texture, and structure cues does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Navigation with contextual color, texture, and structure cues, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Navigation with contextual color, texture, and structure cues will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4260006