Vehicle location detecting system

Claim 2

A vehicle location detecting method for detecting the location of a vehicle within a predetermined area, comprising the steps of: a. outputting distance data at every predetermined interval, the distance data being representative of the distance that a vehicle has travelled, b. outputting heading angle data at every predetermined interval, the heading angle data being representative of the heading angle change of vehicle travel, c. storing road map data representative of roadways, d. computing a present location data from said distance data and said heading angle data, and a limit error of said present location data which is determined by errors in said distance data, in said heading angle data and in said road map data, and registering locations on the roadways, which roadways are located within said limit error of said present location data, as estimate locations, e. computing correlation coefficients corresponding to said registered estimate locations, and f. selecting a correlation coefficient whose error is smallest with respect to the roadway from said computed correlation coefficients and outputting the registered estimate location corresponding to said selected correlation coefficient as a present location.

Claim 3

A vehicle location detecting method as set forth in claim 1, in which said correlation coefficient whose error is smallest with respect to the roadway is selected by selecting the correlation coefficient which is largest among said computed correlation coefficients and in which the estimate location corresponding to said correlation coefficient which is largest among said computed correlation coefficients is outputted as a present location.

Claim 4

A vehicle location detecting method as set forth in claim 2, in which when said computed correlation coefficient is less than a predetermined value, registration of the corresponding estimate location is erased.

Claim 5

A vehicle location detecting method as set forth in claim 2, in which, when the difference between said computed correlation coefficients is more than a predetermined value, registration of the estimate location corresponding to the smaller correlation coefficient is erased.

Claim 6

A vehicle location detecting method as set forth in claim 3, in which said registration of the corresponding estimate location is erased after the vehicle passed a predetermined place of the roadway.

Claim 7

A vehicle location detecting method as set forth in claim 4, in which said registration of the estimate location corresponding to the smaller correlation coefficient is erased after the vehicle passed a predetermined place of the roadway.

Claim 8

A vehicle location detecting method as set forth in claim 2, in which said correlation coefficient which is largest is selected by providing a predetermined hysteresis characteristic in the case that the order of the correlation coefficients is inverted.

Claim 9

A vehicle location detecting method as set forth in claim 2, in which, in the case that there are a plurality of estimation locations corresponding to said correlation coefficient which is largest, the estimate location which is nearest to a center of the roadway is outputted as a present location.

Claim 10

A vehicle location detecting method as set forth in claim 1, in which said distance data representative of the distance that a vehicle has travelled is outputted at every predetermined time and in which said heading angle data representative of the heading angle change of vehicle travel is outputted at every predetermined time.

Claim 11

A vehicle location detecting method as set forth in claim 1, in which said distance data representative of the distance that a vehicle has travelled is outputted at every predetermined distance and in which said heading angle data representative of the heading angle change of vehicle travel is outputted at every predetermined distance.

Claim 12

A vehicle location detecting method as set forth in claim 1, in which an east-west direction component Px and a south-north direction component Py of said present location data are computed by computing an east-west direction component dx(=distance ×cos(heading angle change)) and a south-north direction component dy (=distance ×sin(heading angle change)) of the distance that a vehicle has travelled upon said distance data representative of the distance that a vehicle has travelled and said heading angle data of representative of the heading angle change of vehicle travel, and by adding said computed components dx and dy to an east-west direction component Px' and a south-north direction component Py' of a last-known location data, respectively.

Claim 13

A vehicle location detecting method as set forth in claim 1, in which said steps (d) through (f) are repeated.

Claim 14

A vehicle location detecting method for detecting the location of a vehicle within a predetermined area, comprising the steps of: a. outputting distance data at every predetermined interval, the distance data being representative of the distance that a vehicle has travelled, b. outputting heading angle data at every predetermined interval, the heading angle data being representative of the heading angle change of vehicle travel, c. storing road map data representative of roadways, d. computing a present location data from said distance data and said heading angle data, a first limit error of said present location data which is determined by errors in said distance data, in said heading angle data and in said road map data, and a wider limit error of said present location data which is wider than said first limit error, and registering locations on the roadways, which roadways are located within said first limit error of said present location data, as estimate locations, e. computing correlation coefficients corresponding to said registered estimate locations, f. selecting a correlation coefficient whose error is smallest with respect to the roadway from said computed correlation coefficients and outputting the registered estimate location corresponding to said selected correlation coefficient as a present location, and g. if the roadways, which are located within said first limit error of said present location data, do not exist, outputting said present location data computed from said distance data and said heading angle data as a present location, registering locations on the roadways, which roadways are located within said wider limit error of said present location data, as estimate locations, and when a correlation coefficient, whose error is less than a predetermined value and smallest with respect to each roadway of the registered estimate locations, is obtained, outputting the estimate location corresponding to the correlation coefficient as a present location.

Claim 15

A vehicle location detecting method for detecting the location of a vehicle within a predetermined area, comprising the steps of: a. outputting distance data at every predetermined interval, the distance data being representative of the distance that a vehicle has travelled, b. outputting heading angle data at every predetermined interval, the heading angle data being representative of the heading angle change of vehicle travel, c. storing road map data representative of roadways, d. computing a present location data from said distance data and said heading angle data, a first limit error of said present location data which is determined by errors in said distance data, in said heading angle data and in said road map data, and a wider limit error of said present location data which is wider than said first limit error, and registering locations on the roadways, which roadways are located within said first limit error of said present location data, as estimate locations, e. computing correlation coefficients corresponding to said registered estimate locations, f. selecting a correlation coefficient whose error is smallest with respect to the roadway from said computed correlation coefficients and outputting the registered estimate location corresponding to said selected correlation coefficient as a present location, and g. if the roadways, which are located within said first limit error of said present location data, do not exist, outputting said present location data computed from said distance data and said heading angle data as a present location, registering locations on the roadways, which roadways are located within said wider limit error of said present location data, as estimate locations, and when a correlation coefficient, whose error is less than a predetermined value and smallest with respect to each roadway of the registered estimate locations, is obtained, outputting the estimate location corresponding to the correlation coefficient as a present location.

Claim 16

A vehicle location detecting method as set forth in claim 13, in which said correlation coefficient whose error is smallest with respect to the roadway is selected by selecting the correlation coefficient which is largest among said computed correlation coefficients and in which the estimate location corresponding to said correlation coefficient which is largest among said computed correlation coefficients is outputted as a present location.

Claim 17

A vehicle location detecting method as set forth in claim 14, in which when said computed correlation coefficient is less than a predetermined value, registration of the corresponding estimate location is erased.

Claim 18

A vehicle location detecting method as set forth in claim 14, in which, when the difference between said computed correlation coefficients is more than a predetermined value, registration of the estimate location corresponding to the smaller correlation coefficient is erased.

Claim 19

A vehicle location detecting method as set forth in claim 15, in which said registration of the corresponding estimate location is erased after the vehicle passed a predetermined place of the roadway.

Claim 20

A vehicle location detecting method as set forth in claim 16, in which said registration of the estimate location corresponding to the smaller correlation coefficient is erased after the vehicle passed a predetermined place of the roadway.

Claim 21

A vehicle location detecting method as set forth in claim 14, in which said correlation coefficient which is largest is selected by providing a predetermined hysteresis characteristic in the case that the order of the correlation coefficients is inverted.

Claim 22

A vehicle location detecting method as set forth in claim 14, in which, in the case that there are a plurality of estimation locations corresponding to said correlation coefficient which is largest, the estimate location which is nearest to a center of the roadway is outputted as a present location.

Claim 23

A vehicle location detecting method as set forth in claim 13, in which said distance data representative of the distance that a vehicle has travelled is outputted at every predetermined time and in which said heading angle data representative of the heading angle change of vehicle travel is outputted at every predetermined time.

Claim 24

A vehicle location detecting method as set forth in claim 13, in which said distance data representative of the distance that a vehicle has travelled is outputted at every predetermined distance and in which said heading angle data representative of the heading angle change of vehicle travel is outputted at every predetermined distance.

Claim 25

A vehicle location detecting method as set forth in claim 13, in which correlation coefficients corresponding to all said roadways which are located within said wider limit error are evaluated.

Claim 26

A vehicle location detecting method as set forth in claim 23, in which, in said wider limit error, said roadways are classified and the correlation coefficients corresponding to the classified roadways are evaluated.

Claim 27

A vehicle location detecting method as set forth in claim 23, in which, in the case that said wider limit error consists of a plurality of limit errors which are different in size, while the vehicle travels a predetermined distance, correlation coefficients corresponding to subject roadways are evaluated in order of narrower limit error until an estimate location corresponding to a correlation coefficient whose error is less than a predetermined value and smallest.

Claim 28

A vehicle location detecting method as set forth in claim 25, in which as the size of said wider limit error increases, correlation coefficients corresponding to arterial roadways are evaluated.

Claim 29

A vehicle location detecting method as set forth in claim 25, in which considering characteristic of vehicle travel, correlation coefficients corresponding to roadways that the vehicle may travel with high probability are evaluated as the size of said wider limit error increases.

Claim 30

A vehicle location detecting method as set forth in claim 13, in which an east-west direction component Px and a south-north direction component Py of said present location data are computed by computing an east-west direction component dx (=distance x cos(heading angle change)) and a south-north direction component dy (=distance x sin(heading angle change)) of the distance that a vehicle has travelled upon said distance data representative of the distance that a vehicle has travelled and said heading angle data of representative of the heading angle change of vehicle travel, and by adding said computed components dx and dy to an east-west direction component Px' and a south-north direction component Py' of a last-known location data, respectively.

Claim 31

A vehicle location detecting method as set forth in claim 13, in which said steps (d) through (f) are repeated.

Claim 32

A vehicle location detecting apparatus for detecting the location of a vehicle within a predetermined area, comprising a distance detecting part for outputting distance data representative of the distance that a vehicle has travelled, a heading detecting part for outputting heading angle data representative of the heading angle change of vehicle travel, a road map memory for storing therein road map data of a predetermined area, the road map data being representative of roadways, an estimate location computing part for computing a present location data from said distance data and said heading angle data, and a limit error of said present location data which is determined by errors in said distance data, in said heading angle data and in said road map data, and for registering locations on the roadways, which roadways are located within said limit error of said present location data, as estimate locations, a correlation coefficient computing part for computing correlation coefficients corresponding to said estimate locations, and a correlation coefficient evaluating part for evaluating large and small relation between said correlation coefficients computed by said correlation coefficient computing part and for storing as an actual location the estimation location corresponding to the correlation coefficient which is largest among said correlation coefficients computed by said correlation coefficient computing part.

Claim 33

A vehicle location detecting apparatus for detecting the location of a vehicle within a predetermined area, comprising a distance detecting part for outputting distance data representative of the distance that a vehicle has travelled, a heading detecting part for outputting heading angle data representative of the heading angle change of vehicle travel, a road map memory for storing therein road map data of a predetermined area, the road map data being representative of roadways, an estimate location computing part for computing a present location data from said distance data and said heading angle data, and a limit error of said present location data which is determined by errors in said distance data, in said heading angle data and in said road map data, and for registering locations on the roadways, which roadways are located within said limit error of said present location data, as estimate locations, a correlation coefficient computing part for computing correlation coefficients corresponding to said estimate locations, and a correlation coefficient evaluating part for evaluating large and small relation between said correlation coefficients computed by said correlation coefficient computing part and for storing as an actual location the estimation location corresponding to the correlation coefficient which is largest among said correlation coefficients computed by said correlation coefficient computing part.

Claim 34

A vehicle location detecting apparatus as set forth in claim 30, further comprising display means for displaying said actual location.

Claim 35

A vehicle location detecting apparatus for detecting the location of a vehicle within a predetermined area, comprising a distance detecting part for outputting distance data representative of the distance that a vehicle has travelled, a heading detecting part for outputting heading angle data representative of the heading angle change of vehicle travel, a road map memory for storing therein road map data of a predetermined area, the road map data being representative of roadways, an estimate location computing part for computing a present location data from said distance data and said heading angle data, a first limit error of said present location data which is determined by errors in said distance data, in said heading angle data and in said road map data, and a second limit error which is wider than said first limit error, and for registering locations on the roadways, which roadways are located within said limit error of said present location data, as estimate locations, a correlation coefficient computing part for computing correlation coefficients corresponding to said estimate locations, and a correlation coefficient evaluating part for detecting existence and nonexistence of correlation coefficients which are larger than a predetermined threshold value among said computed correlation coefficients and for evaluating large and small relation between said correlation coefficients computed by said correlation coefficient computing part and for storing as an actual location the estimation location corresponding to the correlation coefficient which is largest among said correlation coefficients computed by said correlation coefficient computing part, the first limit error being adopted to register estimate locations when said existence of correlation coefficients which are larger than a predetermined threshold value is detected in said correlation coefficient evaluating part, the second limit error being adopted to register estimate locations when said nonexistence of correlation coefficients which are larger than a predetermined threshold value is detected in said correlation coefficient evaluating part.

Claim 36

A vehicle location detecting apparatus for detecting the location of a vehicle within a predetermined area, comprising a distance detecting part for outputting distance data representative of the distance that a vehicle has travelled, a heading detecting part for outputting heading angle data representative of the heading angle change of vehicle travel, a road map memory for storing therein road map data of a predetermined area, the road map data being representative of roadways, an estimate location computing part for computing a present location data from said distance data and said heading angle data, a first limit error of said present location data which is determined by errors in said distance data, in said heading angle data and in said road map data, and a second limit error which is wider than said first limit error, and for registering locations on the roadways, which roadways are located within said limit error of said present location data, as estimate locations, a correlation coefficient computing part for computing correlation coefficients corresponding to said estimate locations, and a correlation coefficient evaluating part for detecting existence and nonexistence of correlation coefficients which are larger than a predetermined threshold value among said computed correlation coefficients and for evaluating large and small relation between said correlation coefficients computed by said correlation coefficient computing part and for storing as an actual location the estimation location corresponding to the correlation coefficient which is largest among said correlation coefficients computed by said correlation coefficient computing part, the first limit error being adopted to register estimate locations when said existence of correlation coefficients which are larger than a predetermined threshold value is detected in said correlation coefficient evaluating part, the second limit error being adopted to register estimate locations when said nonexistence of correlation coefficients which are larger than a predetermined threshold value is detected in said correlation coefficient evaluating part.

Claim 37

A vehicle location detecting apparatus as set forth in claim 32, further comprising display means for displaying said actual location.