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US6765480B2 Expired / Lapsed US ⏱️ 0.0 years remaining

Monocular computer vision aided road vehicle driving for safety

Assignee: Individual
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Filing: 2002-04-10
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Granted: 2004-07-20
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Expires: 2022-04-10
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Abstract

Abstract The present invention is a monocular computer vision technique. The technique is used to aid road vehicle driving for safety. An camera (e.g., camera or TV camera or camcorder) is installed in a vehicle facing to the road in front of the vehicle to capture a sequence of road/scene images for analyzing the driving situation. The situation includes the distance to a front obstacle or vehicle, the speed of the vehicle, and the left/right location of the vehicle in a road lane.

Inventors

  • 👤 Din-Chang Tseng

Bibliographic Details

Application Number —
Jurisdiction US
Data Source google_patents
Last Synchronized 2026-10-25 19:28
CPC Classifications
G; G06; G06V; G06V20/00; G06V20/50; G06V20/56; G06V20/58

Claims Analysis

Total Claims: 7
Claim 1
Independent Claim 315 words
A versatile monocular computer vision method of processing and analyzing a sequence of monocular road/scene images captured by a single monocular image capture device for aiding road vehicle driving; said method comprising the steps of: i. by processing and analyzing the monocular road/scene images, detecting a distance to a front obstacle or front vehicle; ii. by processing and analyzing the monocular road/scene images, calculating a vehicle direction relative to a lane direction; iii. by processing an analyzing the monocular road/scene images, determining a left/right location of said vehicle in a road lane; and iv. estimating a speed of said vehicle, wherein said step of detecting a distance to a front obstacle or vehicle comprises the steps of: a. from a sequence of road/scene images extracting two lane markings on both sides of said road lane and then finding an intersection point of said lane markings; said intersection point being a vanishing point of said road lane; b. from said vanishing point and a known focal length of a lens of a camera, finding a pitch angle and a yaw angle of said lane markings with respect to a camera coordinate system; c. from said pitch angle and a height of said camera, calculating a distance from a location of said camera to a point which is an intersection point of an optical axis of said camera and a road plane; d. from said images, finding horizontal lines that indicate intersections of rear wheels of front vehicles and said road plane, selecting a nearest horizontal line that is in said road lane, and judging that said horizontal line is located above or below an image center; e. from said known camera focal length, camera height, pitch angle, and a vertical distance from said horizontal line to said image center, finding said distance from said camera location to said rear wheel of said front vehicle or obstacle.
Claim 2
Dependent Claim 315 words
A versatile monocular computer vision method of processing and analyzing a sequence of monocular road/scene images captured by a single monocular image capture device for aiding road vehicle driving; said method comprising the steps of: i. by processing and analyzing the monocular road/scene images, detecting a distance to a front obstacle or front vehicle; ii. by processing and analyzing the monocular road/scene images, calculating a vehicle direction relative to a lane direction; iii. by processing an analyzing the monocular road/scene images, determining a left/right location of said vehicle in a road lane; and iv. estimating a speed of said vehicle, wherein said step of detecting a distance to a front obstacle or vehicle comprises the steps of: a. from a sequence of road/scene images extracting two lane markings on both sides of said road lane and then finding an intersection point of said lane markings; said intersection point being a vanishing point of said road lane; b. from said vanishing point and a known focal length of a lens of a camera, finding a pitch angle and a yaw angle of said lane markings with respect to a camera coordinate system; c. from said pitch angle and a height of said camera, calculating a distance from a location of said camera to a point which is an intersection point of an optical axis of said camera and a road plane; d. from said images, finding horizontal lines that indicate intersections of rear wheels of front vehicles and said road plane, selecting a nearest horizontal line that is in said road lane, and judging that said horizontal line is located above or below an image center; e. from said known camera focal length, camera height, pitch angle, and a vertical distance from said horizontal line to said image center, finding said distance from said camera location to said rear wheel of said front vehicle or obstacle.
Claim 3
Dependent Claim 36 words
A versatile monocular computer vision method according to claim 1 , wherein said vehicle direction relative to said lane direction is just said yaw angle of said lane markings with respect to said camera coordinate system.
Claim 4
Dependent Claim 148 words
A versatile monocular computer vision method of processing and analyzing a sequence of monocular road/scene images captured by a single monocular image capture device for aiding road vehicle driving; said method comprising the steps of: i. by processing and analyzing the monocular road/scene images, detecting a distance to a front obstacle or front vehicle; ii. by processing and analyzing the monocular road/scene images, calculating a vehicle direction relative to a lane direction; iii. by processing an analyzing the monocular road/scene images, determining a left/right location of said vehicle in a road lane: and iv. estimating a speed of said vehicle, wherein said left/right location of said vehicle in said road lane is computed from the ratio of two distances which are from a midpoint of a said image lower border to two intersection points of said extended image lower border and said lane markings of said road lane.
Claim 5
Dependent Claim 148 words
A versatile monocular computer vision method of processing and analyzing a sequence of monocular road/scene images captured by a single monocular image capture device for aiding road vehicle driving; said method comprising the steps of: i. by processing and analyzing the monocular road/scene images, detecting a distance to a front obstacle or front vehicle; ii. by processing and analyzing the monocular road/scene images, calculating a vehicle direction relative to a lane direction; iii. by processing an analyzing the monocular road/scene images, determining a left/right location of said vehicle in a road lane: and iv. estimating a speed of said vehicle, wherein said left/right location of said vehicle in said road lane is computed from the ratio of two distances which are from a midpoint of a said image lower border to two intersection points of said extended image lower border and said lane markings of said road lane.
Claim 6
Dependent Claim 166 words
A versatile monocular computer vision method of processing and analyzing a sequence of monocular road/scene images captured by a single monocular image capture device for aiding road vehicle driving; said method comprising the steps of: i. by processing and analyzing the monocular road/scene images, detecting a distance to a front obstacle or front vehicle; ii. by processing and analyzing the monocular road/scene images, calculating a vehicle direction relative to a lane direction; iii. by processing an analyzing the monocular road/scene images, determining a left/right location of said vehicle in a road lane; and iv. estimating a speed of said vehicle, wherein said vehicle speed is computed based on a determination of said distance to a front vehicle; wherein a terminal point of a dashed lane marking is first found in said sequence of road/scene images; said distances from said camera location to said terminal point in said images are calculated respectively; and said vehicle speed is derived from a distance difference divided by a time difference.
Claim 7
Dependent Claim 166 words
A versatile monocular computer vision method of processing and analyzing a sequence of monocular road/scene images captured by a single monocular image capture device for aiding road vehicle driving; said method comprising the steps of: i. by processing and analyzing the monocular road/scene images, detecting a distance to a front obstacle or front vehicle; ii. by processing and analyzing the monocular road/scene images, calculating a vehicle direction relative to a lane direction; iii. by processing an analyzing the monocular road/scene images, determining a left/right location of said vehicle in a road lane; and iv. estimating a speed of said vehicle, wherein said vehicle speed is computed based on a determination of said distance to a front vehicle; wherein a terminal point of a dashed lane marking is first found in said sequence of road/scene images; said distances from said camera location to said terminal point in said images are calculated respectively; and said vehicle speed is derived from a distance difference divided by a time difference.

USPTO Annuity & Maintenance Windows

Annuity Stage Window Opens Payment Deadline Surcharge Period Until Estimated Fee Status
3.5 Years (Year 4) 2007-07-20 2008-01-19 2008-07-20 $2000.00 Window Closed / Lapsed
7.5 Years (Year 8) 2011-07-20 2012-01-19 2012-07-20 $3760.00 Window Closed / Lapsed
11.5 Years (Year 12) 2015-07-20 2016-01-19 2016-07-20 $7700.00 Window Closed / Lapsed

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