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US5675326A Expired / Lapsed US ⏱️ 0.0 years remaining

Method of determining optimal detection beam locations using reflective feature mapping

Assignee: AutoSense LLC
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Filing: 1995-06-07
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Granted: 1997-10-07
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Expires: 2015-06-07
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Abstract

Abstract A method of defining a sensing system for detecting the presence of an object in a volume of space under surveillance by determining the optimal placement of a plurality of energy beams which are projected into the volume which comprises the steps of (A) placing the object at a preselected position within the space; (B) directing a plurality of sample beams of energy, which have a predetermined orientation, from a source onto the object; (C) detecting the reflections of the sample beam energy from points on the object by energy detectors; (D) recording the preselected position of the object, the predetermined orientation of sample beams, and the detection status of the energy detectors; (E) changing the equatorial and azimuthal angles of each of the beams and repeating steps (B), (C) and (D); (F) moving the source of the sample beams relative to the object; (G) repeating steps (B) through (F) to produce spatial maps of the locations at which the object is positioned when each of the energy detectors detect reflected sample beam energy; and (H) using the spatial maps so produced to select the optimal orientation of a set of energy beams which will maximize the detection probability of an object located in the volume of space under surveillance. This method is repeated for a plurality of different vehicles.

Inventors

  • 👤 Scott Juds
  • 👤 Paul Mathews

Bibliographic Details

Application Number —
Jurisdiction US
Data Source google_patents
Last Synchronized 2026-10-25 21:38
CPC Classifications
G; G01; G01S; G01S17/00; G01S17/88; G01S17/93; G01S17/931

Claims Analysis

Total Claims: 25
Claim 1
Independent Claim 181 words
A method of determining the optimal positions for a plurality of energy beams directed into a volume of space under surveillance to detect the presence of an object within that space, comprising the steps of: (A) placing the object at a preselected position within the space; (B) directing a plurality of sample beams of energy, which have a predetermined orientation, from a source onto the object; (C) detecting the sample beam energy reflected from points on the object by energy detectors; (D) recording the preselected position of the object, the predetermined orientation of sample beams, and the detection status of the energy detectors; (E) moving the source of the sample beams relative to the object; (F) repeating steps (B) through (E) to produce spatial maps of the locations at which the object is positioned when each of the energy detectors detect reflected sample beam energy; and (G) using the spatial maps so produced to select the optimal orientation of a set of energy beams which will maximize the detection probability of an object located in the volume of space under surveillance.
Claim 2
Independent Claim 181 words
A method of determining the optimal positions for a plurality of energy beams directed into a volume of space under surveillance to detect the presence of an object within that space, comprising the steps of: (A) placing the object at a preselected position within the space; (B) directing a plurality of sample beams of energy, which have a predetermined orientation, from a source onto the object; (C) detecting the sample beam energy reflected from points on the object by energy detectors; (D) recording the preselected position of the object, the predetermined orientation of sample beams, and the detection status of the energy detectors; (E) moving the source of the sample beams relative to the object; (F) repeating steps (B) through (E) to produce spatial maps of the locations at which the object is positioned when each of the energy detectors detect reflected sample beam energy; and (G) using the spatial maps so produced to select the optimal orientation of a set of energy beams which will maximize the detection probability of an object located in the volume of space under surveillance.
Claim 3
Dependent Claim 55 words
The method of claim 1, wherein step (B) is performed by: simultaneously training a group of said sample beams onto said object, and angularly displacing said group of said sample beams about a reference axis to each of a plurality of angular positions, and repeating steps (C) and (D) at each of said angular positions.
Claim 4
Dependent Claim 49 words
The method of claim 1, wherein step (E) is performed by linearly displacing said source of said sample beams relative to said object to each of a plurality of sampling positions, there being a set of said sampling positions corresponding to each of said angular positions of said object.
Claim 5
Dependent Claim 28 words
The method of claim 1, wherein step (E) is performed by linearly displacing said source of said sample beams relative to said object along a first reference path.
Claim 6
Dependent Claim 80 words
The method of claim 4, wherein step (E) includes displacing said source of said sample beams relative to said object in a direction transverse to said first reference path to each of a plurality of transversely spaced apart locations, and linearly displacing one of said source relative to said object along each of a plurality of reference paths extending parallel to said first path, wherein said plurality of reference paths respectively extend through said plurality of transversely spaced apart locations.
Claim 7
Dependent Claim 27 words
The method of claim 1, wherein step (E) is performed by angularly displacing said source of said sample beams to each of a plurality of angular positions.
Claim 8
Dependent Claim 39 words
The method of claim 6, wherein said source is angularly displaced about a substantially horizontal reference axis such that said sample beams are directed onto said object at a plurality of different elevations respectively associated with and angular positions.
Claim 9
Dependent Claim 28 words
The method of claim 7, wherein step (E) further includes linearly displacing said source relative to said object along a preselected path for each of said angular positions.
Claim 10
Dependent Claim 17 words
The method of claim 1, wherein steps (A) through (F) are repeated for a plurality of objects.
Claim 11
Dependent Claim 157 words
A map of the locations in a volume of space under surveillance, where an object is detected by detecting reflections of at least one sample beam of energy directed into the volume of space by a sensor system located at a reference area, produced by (A) placing the object at a predetermined location within the volume of space; (B) locating the sensor system at a selected reference area; (C) directing at least one sample beam of energy waves from a reference area onto the object within the space; (D) detecting the energy reflected back to the reference area from the object; (E) recording the reference area and the detection of energy on a map of the space under surveillance; (F) relatively moving the sensor system and the object to locate the sensor system at a different selected reference area; and (G) repeating steps (C), (D), (E) and (F) a predetermined number of times to create said map.
Claim 12
Dependent Claim 157 words
A map of the locations in a volume of space under surveillance, where an object is detected by detecting reflections of at least one sample beam of energy directed into the volume of space by a sensor system located at a reference area, produced by (A) placing the object at a predetermined location within the volume of space; (B) locating the sensor system at a selected reference area; (C) directing at least one sample beam of energy waves from a reference area onto the object within the space; (D) detecting the energy reflected back to the reference area from the object; (E) recording the reference area and the detection of energy on a map of the space under surveillance; (F) relatively moving the sensor system and the object to locate the sensor system at a different selected reference area; and (G) repeating steps (C), (D), (E) and (F) a predetermined number of times to create said map.
Claim 13
Dependent Claim 24 words
The map of claim 10, wherein step (F) is performed by linearly displacing aid beam source relative to said object along a reference path.
Claim 14
Dependent Claim 33 words
The map of claim 11, wherein step (F) includes displacing said beam source relative to said object in a direction transverse to said reference path to each of a plurality of transverse locations.
Claim 15
Dependent Claim 31 words
The map of claim 10, wherein step (F) is performed by linearly displacing said beam source relative to said object successively along each of a plurality of parallel spaced apart paths.
Claim 16
Dependent Claim 29 words
The map of claim 10, wherein step (D) is performed by rotating said beam source about a substantially vertical axis to each of a plurality of first angular positions.
Claim 17
Dependent Claim 27 words
The map of claim 14, wherein step (D) includes rotating said beam source about a substantially horizontal axis to each of a plurality of second angular positions.
Claim 18
Dependent Claim 50 words
The method of claim 1, wherein steps (A) through (F) are repeated for each of a plurality of objects, method includes the step of selecting the number and optimal positions of said surveillance beams required to detect the presence of any of said plurality of vehicles within said adjacent space.
Claim 19
Independent Claim 163 words
A method for automating the selection of a subset of possible energy beam orientations from a larger set of possible beam orientations for which data has been acquired, comprising the steps of (A) compiling a list of sample energy beams in relative order according to the total number of detections of beams reflected from an object within the volume of space under surveillance; (B) selecting the beam having the highest number of detections; (C) compiling another list of the remaining sample energy beams in relative order according to the total number of detections of beams reflected from an object within the volume of space under surveillance that are non-duplicative of the detections of any selected beam; (D) selecting the remaining beam having the highest number of detections that are non-duplicative of the detections of any selected beam; and (E) repeating steps (B), (C) and (D) a predetermined number of times to produce a combined detectivity map of all detections of all selected beams.
Claim 20
Independent Claim 163 words
A method for automating the selection of a subset of possible energy beam orientations from a larger set of possible beam orientations for which data has been acquired, comprising the steps of (A) compiling a list of sample energy beams in relative order according to the total number of detections of beams reflected from an object within the volume of space under surveillance; (B) selecting the beam having the highest number of detections; (C) compiling another list of the remaining sample energy beams in relative order according to the total number of detections of beams reflected from an object within the volume of space under surveillance that are non-duplicative of the detections of any selected beam; (D) selecting the remaining beam having the highest number of detections that are non-duplicative of the detections of any selected beam; and (E) repeating steps (B), (C) and (D) a predetermined number of times to produce a combined detectivity map of all detections of all selected beams.
Claim 21
Independent Claim 131 words
A method of quantifying the performance of a sensor system used to detect the presence of an object in a volume under surveillance, where the object is detected by detecting reflections of at least one sample beam of energy directed into the volume of space by a sensor system, comprising the steps of (A) placing the object at a plurality of uniformly spaced locations within the volume; (B) directing said at least one of sample beams of energy from the sensor system into the volume; (C) recording the detection status of the reflections of the beams on a map of the volume for each of the locations within the volume to determine the number of detections; and (D) evaluating the number of detections to quantify the performance of a sensor system.
Claim 22
Independent Claim 131 words
A method of quantifying the performance of a sensor system used to detect the presence of an object in a volume under surveillance, where the object is detected by detecting reflections of at least one sample beam of energy directed into the volume of space by a sensor system, comprising the steps of (A) placing the object at a plurality of uniformly spaced locations within the volume; (B) directing said at least one of sample beams of energy from the sensor system into the volume; (C) recording the detection status of the reflections of the beams on a map of the volume for each of the locations within the volume to determine the number of detections; and (D) evaluating the number of detections to quantify the performance of a sensor system.
Claim 23
Independent Claim 227 words
A method of defining a sensing system for detecting the presence of an object vehicle in blind spot of a host vehicle, by determining the optimal placement of a plurality of energy beams which are projected into the blind spot, the reflections of which are detected to detect the presence of the object vehicle, comprising the steps of (A) placing the object vehicle at a preselected position within the blind spot; (B) directing a plurality of sample beams of energy, which have a predetermined orientation, from a source onto the object vehicle; (C) detecting the sample beam energy reflected from points on the object vehicle by energy detectors; (D) recording the preselected position of the object vehicle, the predetermined orientation of sample beams, and the detection status of the energy detectors; (E) changing the equatorial and azimuthal angles of each of the beams and repeating steps (A) through (D); (F) moving the source of the sample beams relative to the object vehicle; (G) repeating steps (B) through (F) to produce spatial maps of the locations at which the object vehicle is positioned when each of the energy detectors detect reflected sample beam energy; and (H) using the spatial maps so produced to select the optimal orientation of a set of energy beams which will maximize the detection probability of an object vehicle located in the blind spot.
Claim 24
Independent Claim 227 words
A method of defining a sensing system for detecting the presence of an object vehicle in blind spot of a host vehicle, by determining the optimal placement of a plurality of energy beams which are projected into the blind spot, the reflections of which are detected to detect the presence of the object vehicle, comprising the steps of (A) placing the object vehicle at a preselected position within the blind spot; (B) directing a plurality of sample beams of energy, which have a predetermined orientation, from a source onto the object vehicle; (C) detecting the sample beam energy reflected from points on the object vehicle by energy detectors; (D) recording the preselected position of the object vehicle, the predetermined orientation of sample beams, and the detection status of the energy detectors; (E) changing the equatorial and azimuthal angles of each of the beams and repeating steps (A) through (D); (F) moving the source of the sample beams relative to the object vehicle; (G) repeating steps (B) through (F) to produce spatial maps of the locations at which the object vehicle is positioned when each of the energy detectors detect reflected sample beam energy; and (H) using the spatial maps so produced to select the optimal orientation of a set of energy beams which will maximize the detection probability of an object vehicle located in the blind spot.
Claim 25
Dependent Claim 21 words
The method of claim 19 further including the step of repeating steps (A) through (G) for a plurality of different vehicles.

References Cited (Backward Citations)

US3681750A Cited
US4028662A Cited
US4339748A Cited
US4447800A Cited
US4479053A Cited
US4450430A Cited

USPTO Annuity & Maintenance Windows

Annuity Stage Window Opens Payment Deadline Surcharge Period Until Estimated Fee Status
3.5 Years (Year 4) 2000-10-06 2001-04-07 2001-10-07 $2000.00 Window Closed / Lapsed
7.5 Years (Year 8) 2004-10-06 2005-04-07 2005-10-07 $3760.00 Window Closed / Lapsed
11.5 Years (Year 12) 2008-10-06 2009-04-07 2009-10-07 $7700.00 Window Closed / Lapsed

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