Communications: electrical – Land vehicle alarms or indicators – Of collision or contact with external object
Reexamination Certificate
2007-01-02
2007-01-02
Lieu, Julie Bichngoc (Department: 2612)
Communications: electrical
Land vehicle alarms or indicators
Of collision or contact with external object
C340S434000, C340S437000, C340S438000, C340S932200, C340S428000, C701S036000, C348S148000, C348S149000
Reexamination Certificate
active
10604490
ABSTRACT:
A vision-based object detection decision-making system (10) for a vehicle (12) includes multiple vision sensing systems (14) that have vision receivers (20) and that generate an object detection signal. A controller (16) includes a plurality of sensing system aid modules (18) that correspond to each of the vision sensing systems (14). The controller (16) operates the sensing system aid modules (18) in response to a vehicle parameter and generates a safety system signal in response to the object detection signal. The sensing system aid modules (18) have associated operating modes and operate the vision sensing systems (14) in the operating modes in response to the vehicle parameter.
REFERENCES:
patent: 5091726 (1992-02-01), Shyu
patent: 6222447 (2001-04-01), Schofield et al.
patent: 6487481 (2002-11-01), Tanaka et al.
patent: 6498620 (2002-12-01), Schofield et al.
patent: 6587760 (2003-07-01), Okamoto
patent: 2004/0145457 (2004-07-01), Schofield et al.
Detlev Noll, Martin Werner and Werner Von Seelen, Real-Time Vehicle Tracking and Classification, pp. 101-106.
Michael E. Brauckmann, Christian Goerick, Jurgen Groβ and Thomas, Towards All Around Automatic Visual Obstacle Sensing For Cars, pp. 79-84.
Michael Schwarzinger, Thomas Zielke, Detlev Noll, Michael Brauckmann, Werner Von Seelen, Vision-Based Car-Following: Detection, Tracking, And Identification, pp. 24-29.
Wolfgang Efenberger, Quang-Huy Ta, Lampros Tsinas, Volker Graefe, Automatic Recognition of Vehicles Approaching from Behind, pp. 57-62.
Christian Goerick, Detlev Noll, Martin Werner, Artificial Neural Networks In Real-Time Car Detection And Tracking Applications, pp. 335-343.
Alan J. Lipton, Hironobu Fujiyoshi, Raju S. Patil, Moving Target Classification and Tracking from Real-Time Video, The Robotics Institute, Carnegie Mellon University, pp. 129-136.
Axel Techmer, Jens Harnisch and Ulrich Ramacher, Intelligent Vision Sensor For Automotive Applications, Infineon Technologies AG, Corporate Research, Copyright 2002, SAE, Inc.
Ebenstein Samuel Edward
Prakah-Asante Kwaku O.
Rao Manoharprasad K.
Smith Gregory H.
Strumolo Gary Steven
Artz & Artz P.C.
Ford Global Technologies LLC
Lieu Julie Bichngoc
MacKenzie Frank A.
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