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US5195144A
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Process for estimating the distance between a stationary object and a moving vehicle and device for using this process
Assignee: Thales SA
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Filing: 1992-02-12
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Granted: 1993-03-16
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Expires: 2012-02-12
Abstract
Abstract A process for estimating the distance between a stationary object and a vehicle by providing the processing of images from the speed of enlargement of an image of an object seen from a vehicle. Images of the object are analyzed by an image speed sensor mounted on a vehicle and these images are centered relative to the speed vector of the vehicle. The luminance values of the pixels of the images successively analyzed by the sensor and the luminance value of pixels of a series of predicted images are integrated in a plurality of image memories corresponding respectively to a plurality of predetermined values for the distance. The luminance value of each pixel of a predicted image is determined as a function of the integrated luminance value for a pixel being considered, as a function of the speed of the vehicle, as a function of the position of the pixel in the predicted image and as a function of the distance value corresponding to the particular memory being considered. As a result the predicted image is affected by an increasing enlargement of the image of the object as a function of time.
Inventors
- 👤 Guy Le Parquier
- 👤 Henri Fousse
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-10-23 17:59
CPC Classifications
G; G01; G01C; G01C3/00; G01C3/02; G01C3/06; G01C3/08; G01C3/085; G01S; G01S11/00; G01S11/12
Claims Analysis
Total Claims: 7
Claim 1
Independent Claim
252 words
A process for estimating the distance between a stationary object and moving vehicle according to a given speed vector, comprising the steps of: mounting an image sensor on said vehicle and analyzing images of said object received by said image sensors; centering said analyzed images relative to the speed vector of said vehicle; integrating, in a plurality of image memories, wherein said image memories correspond respectively to a plurality of predetermined values for distance, the luminance values of pixels of images which are analyzed successively by said sensor, and the luminance values of pixels of a series of predicted images to provide integrated luminance values for pixels of each of said image memories, wherein the luminance values of each pixel of one of said predicted images is determined, as a function of the integrated luminance value for a considered pixel and, as a function of the speed of the vehicle, as a function of the position of said considered pixel in said one predicted image, and as a function of the predetermined distance value of a corresponding image memory considered, in such a way that said one predicted image is generally affected by an enlargement increasing as a function of time; and searching, among a plurality of contrasts exhibited by the integrated luminance values of plurality of memories for the one of said memories wherein the integrated luminance values exhibit the greatest contrast corresponding to a sharply focused image of the object, and deducing from said one memory as estimate of distance.
Claim 2
Dependent Claim
252 words
A process for estimating the distance between a stationary object and moving vehicle according to a given speed vector, comprising the steps of: mounting an image sensor on said vehicle and analyzing images of said object received by said image sensors; centering said analyzed images relative to the speed vector of said vehicle; integrating, in a plurality of image memories, wherein said image memories correspond respectively to a plurality of predetermined values for distance, the luminance values of pixels of images which are analyzed successively by said sensor, and the luminance values of pixels of a series of predicted images to provide integrated luminance values for pixels of each of said image memories, wherein the luminance values of each pixel of one of said predicted images is determined, as a function of the integrated luminance value for a considered pixel and, as a function of the speed of the vehicle, as a function of the position of said considered pixel in said one predicted image, and as a function of the predetermined distance value of a corresponding image memory considered, in such a way that said one predicted image is generally affected by an enlargement increasing as a function of time; and searching, among a plurality of contrasts exhibited by the integrated luminance values of plurality of memories for the one of said memories wherein the integrated luminance values exhibit the greatest contrast corresponding to a sharply focused image of the object, and deducing from said one memory as estimate of distance.
Claim 3
Dependent Claim
33 words
The process according to claim 1, wherein the luminance values of a series of predicted images corresponding to a given distance is calculated at a different initial instant for each of said memories.
Claim 4
Dependent Claim
55 words
The process according to claim 1, wherein, in order to provide and estimate of distance, the method further comprises searching, among said plurality of memories, for two memories for the integrated luminance values which exhibit the two greatest contrast values and in subsequently linearly interpolating between said greatest contrast values corresponding to said two memories.
Claim 5
Dependent Claim
119 words
The process according to claim 1, wherein the step of determining the luminance values of the predicted images consist of reading integrated luminance values and writing the new integrated luminance values in an image memory, by jumping from a line to the next line, with a frequency proportional to the distance between the line and the geometrical center of said image memory and by jumping from a column to the next column, with a frequency proportional to the distance between the column and the center of a corresponding memory wherein the step further includes weighing the integrated luminance values which are read, by giving greater weight to those of the pixels closer to the geometrical center of the image.
Claim 6
Independent Claim
234 words
An apparatus for estimating the distance between a stationary object and a moving vehicle, comprising: means mounted on a vehicle to analyze images of said object and to center the images relative to a speed vector of said vehicle; means for integrating, in a plurality of image memories corresponding respectively to a plurality of values for said distance, the luminance values of pixels of images analyzed successively, and the luminance values of pixels in a series of predicted images to provide integrated luminance values for pixels of each of said image memories, the luminance value of each pixels of said predicted image being determined as a function of the integrated luminance value for a pixel considered, as a function of the speed of the vehicle, as a function of the position of said considered pixel in one of said predicted images, and as a function of the predetermined distance value of a corresponding memory being considered; and means for searching, among a plurality of contrast exhibited by the integrated luminance values of a plurality of memories, for the one of the said memories wherein the integrated luminance values exhibit the greatest contrast corresponding to a sharply focused image of the object and means for deducing an estimate of the distance from said one of said memories where the integrated luminance values exhibit the greatest contrast corresponding to a sharply focused image of the object.
Claim 7
Independent Claim
234 words
An apparatus for estimating the distance between a stationary object and a moving vehicle, comprising: means mounted on a vehicle to analyze images of said object and to center the images relative to a speed vector of said vehicle; means for integrating, in a plurality of image memories corresponding respectively to a plurality of values for said distance, the luminance values of pixels of images analyzed successively, and the luminance values of pixels in a series of predicted images to provide integrated luminance values for pixels of each of said image memories, the luminance value of each pixels of said predicted image being determined as a function of the integrated luminance value for a pixel considered, as a function of the speed of the vehicle, as a function of the position of said considered pixel in one of said predicted images, and as a function of the predetermined distance value of a corresponding memory being considered; and means for searching, among a plurality of contrast exhibited by the integrated luminance values of a plurality of memories, for the one of the said memories wherein the integrated luminance values exhibit the greatest contrast corresponding to a sharply focused image of the object and means for deducing an estimate of the distance from said one of said memories where the integrated luminance values exhibit the greatest contrast corresponding to a sharply focused image of the object.
References Cited (Backward Citations)
USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 1996-03-15 | 1996-09-14 | 1997-03-16 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2000-03-15 | 2000-09-14 | 2001-03-16 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2004-03-15 | 2004-09-14 | 2005-03-16 | $7700.00 | Window Closed / Lapsed |