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1. (WO2019043652) ESTIMATING A MILEAGE OF A VEHICLE
 注意: このテキストは、OCR 処理によってテキスト化されたものです。法的な用途には PDF 版をご利用ください。
 .line { color: #000; text-decoration: none; } .par a { color: #000; text-decoration: none; } p { text-align: left; dir: ltr; } What is claimed is: 1. A method for estimating a mileage of a vehicle, the method comprising: detecting an ith location of the vehicle by capturing an image of the vehicle by an Ith camera of a plurality of urban cameras, where 1 < i < JV-L is an integer number and JV-L is the number of the plurality of urban cameras; detecting an (z'+ l)th location of the vehicle by capturing an image of the vehicle by an i+ l)th camera of the plurality of urban cameras; estimating a first urban distance of a plurality of urban distances according to an operation defined by: where di u is a length of a route between the i location and the (i+ 1) location, and EDL U is the first urban distance; estimating a second urban distance of the plurality of urban distances according to an operation defined by: ED2,u = (Ni - V)du_ave + ku, where du ave is an average distance associated with the plurality of urban cameras, ku is a constant, and ED2 is the second urban distance; estimating a third urban distance of the plurality of urban distances according to an operation defined by: ED3 U — EDU AVE where EDU AVE is an average distance associated with the plurality of distances, TU is a given period of time, MU is an integer constant associated with the given period of time, 1 < m < MU is an integer number, and ED3 U is the third urban distance; estimating an intra-city mileage of the vehicle according to an operation defined by: ED 'Rcity where fcity is a function of the plurality of urban distances, Mul and Mu2 are integer constants, 1 < mx < Mul and 1 < m2 < Mu2 are integer numbers, and EDcity is the intra-city mileage; detecting a fh location of the vehicle by capturing an image of the vehicle by a j* camera of a plurality of intercity cameras, where 1 < j < N2 is an integer number and N2 is the number of the plurality of intercity cameras; detecting a (/+ 1)th location of the vehicle by capturing an image of the vehicle by a (j+ l)th camera of the plurality of intercity cameras; estimating a first intercity distance of a plurality of intercity distances according to an operation defined by: N2 EDl r = dj r , 7 = 1 where dj r is a length of a route between the fh location and the (j+ 1)Λ location, and r is the first intercity distance; estimating a second intercity distance of the plurality of intercity distances according to an operation defined by: ΕΌ = (JV2 - l)dr ave + kr, where dr ave is an average distance associated with the plurality of intercity cameras, kr is a constant, and ED2 r is the second intercity distance; estimating a third intercity distance of the plurality of intercity distances according to an operation defined by: Mr EDs r = EDr ave Tr , m=l where EDr ave is an average distance associated with the plurality of intercity distances, Tr is a given period of time, Mr is an integer constant associated with the given period of time, 1 < m < Mr is an integer number, and ED3 r is the third intercity distance; estimating an intercity mileage of the vehicle according to an operation defined by: EDinter ED2 r , ED3 r where finter is a function of the plurality of intercity distances, rl and Mr2 are integer constants, 1 < mx < Mrl and 1 < m2 < Mr2 are integer numbers, and EDinter is the intercity mileage; estimating a total distance according to an operation defined by: EDtotal = Bt X EDinter + B2 X EDcity + B3 x H, where B^ B2, and B3 are weighting parameters, and H is a constant; and estimating an odometer mileage variable of the vehicle according to an operation defined by: EDod = EDtotal + P + I, where P is an initial value for the odometer mileage variable, / is a correction constant, and EDod is the odometer mileage variable. 2. The method of claim 1, wherein estimating the total distance comprises calculating constant H according to an operation defined by: H = i-tnin x Nday, where Lmin is an estimate for a daily mileage of the vehicle and Nday is a number of days associated with the vehicle. 3. A method for estimating a mileage of a vehicle, the method comprising: detecting a first location of the vehicle at a first moment by capturing an image of the vehicle by a first camera of a plurality of cameras; and estimating a primary distance of a plurality of distances, the primary distance associated with the first location. 4. The method of claim 3, wherein estimating the primary distance comprises calculating the primary distance according to an operation defined by: EDQ = 2 x dQ, where d0 is a length of a route between a predefined place and the first location, and ED0 is the primary distance. 5. The method of claim 3, wherein capturing the image of the vehicle by the first camera comprises capturing the image of the vehicle by a license plate recognition (LPR) camera. 6. The method of claim 3, further comprising: detecting an Ith location of the vehicle at an ith moment by capturing an image of the vehicle by an Ith camera of the plurality of cameras, where 2 < i < Nc is an integer number and Nc is the number of the plurality of cameras; detecting an (z'+ l)th location of the vehicle at an (z'+ l)th moment by capturing an image of the vehicle by an (z'+ l)th camera of the plurality of cameras, where the Ith moment and the (z'+ l)th moment satisfy a condition according to: ti+ 1— tt < t0, where t0 is a temporal threshold, tt is the Ith moment, and ti+ 1 is the (ζ+ 1)Λ moment; and estimating a first distance of the plurality of distances based on the Ith location and the (z'+ l)th location. 7. The method of claim 6, wherein estimating the first distance comprises calculating the first distance according to an operation defined by: Nc ED1 = ^ di + ED0 i=i where dt is a length of a route between the Ith location and the (z'+ l)th location, ED0 is the primary distance, and ED is the first distance. 8. The method of claim 6, wherein estimating the first distance comprises selecting a route between the Ith location and the (z'+ l)th location from a longest path of a plurality of paths, a shortest path of the plurality of paths, and an average of the plurality of paths, each of the plurality of paths comprising a plurality of roads between the ith location and the (ζ'+ 1)Λ location. 9. The method of claim 6, further comprising: estimating a second distance of the plurality of distances according to an operation defined by: ED2 = (JVC - l) dave + k, where dave is an average distance associated with the plurality of cameras, k is a constant, and ED2 is the second distance. 10. The method of claim 9, further comprising: estimating a third distance of the plurality of distances according to an operation defined by: M ED3 = EDave T , m=l where EDave is an average distance associated with the plurality of distances, T is a given period of time, M is an integer constant associated with the given period of time, 1 < m < M is an integer number, and ED3 is the third distance. 11. The method of claim 10, further comprising: estimating an intra-city mileage of the vehicle according to an operation defined ED, city = faty , where fcity is a function of the plurality of distances, M and 2 are integer constants, 1 < < -L and 1 < m2 < M2 are integer numbers, and EDcity is the intra-city mileage. 12. The method of claim 10, further comprising: estimating an intercity mileage of the vehicle according to an operation defined EDinter — f inter ED2 , ED3 where finter is a function of the plurality of distances, M and M2 are integer constants, 1 < < M and 1 < m2 < M2 are integer numbers, and EDinter is the intercity mileage. 13. A system for estimating a mileage of a vehicle, the system comprising: a first camera of a plurality of cameras, the first camera configured to capture a first image of a vehicle; and a processor configured to: receive the first image of the vehicle; detect a first location of the vehicle at a first moment based on the first image of the vehicle, the first location associated with the first camera; and estimate a primary distance of a plurality of distances, the primary distance associated with the first location. 14. The system of claim 13, wherein the processor is further configured to estimate the primary distance according to an operation defined by: EDQ = 2 x d0, where d0 is a length of a route between a place of residence of an owner of the vehicle and the first location, and ED0 is the primary distance. 15. The system of claim 13, further comprising: an z'th camera of the plurality of cameras, where 2 < i < Nc is an integer number and Nc is the number of the plurality of cameras, the ζ'Λ camera configured to capture an ζ'Λ image of the vehicle at an z'th moment; an (z'+ l)th camera of the plurality of cameras, the (z'+ l)th camera configured to capture an (ζ'+ 1)Λ image of the vehicle at an (ζ'+ 1)Λ moment; 16. The system of claim 13, wherein the processor is further configured to: receive the ζ'Λ image of the vehicle; detect an ζ'Λ location of the vehicle based on the ζ'Λ image of the vehicle; receive the (z'+ 1)* image of the vehicle; detect an (z'+ 1)* location of the vehicle based on the (z'+ l)th image of the vehicle, where the z'th moment and the (ζ'+ 1)Λ moment satisfy a condition according to: £+1 where t0 is a temporal threshold, tt is the z moment, and tti+i is the (z'+ l) moment; and estimate a first distance of the plurality of distances according to an operation defined by: where dt is a length of a route between the z' location and the (z'+ l) location, ED0 is the primary distance, and ED1 is the first distance. 17. The system of claim 16, wherein the processor is further configured to estimate a second distance of the plurality of distances according to an operation defined by: ED2 = (JVC - l)dave + k, where dave is an average distance associated with the plurality of cameras, k is a constant, and ED2 is the second distance. 18. The system of claim 17, wherein the processor is further configured to estimate a third distance of the plurality of distances according to an operation defined by: where EDave is an average distance associated with the plurality of distances, T is a given period of time, M is an integer constant associated with the given period of time, 1 < m < M is an integer number, and ED3 is the third distance. 19. The system of claim 18, wherein the processor is further configured to estimate an intra-city mileage of the vehicle according to an operation defined by: EDcity = faty , where fcity is a function of the plurality of distances, M and 2 are integer constants, 1 < < -L and 1 < m2 < M2 are integer numbers, and EDcity is the intra-city mileage. 20. The system of claim 18, wherein the processor is further configured to estimate an intercity mileage of the vehicle according to an operation defined by: ED ',i-nter ~ f inter EDt l ED2 , ED3 \ . πι-ι=1 m2 =l where finter is a function of the plurality of distances, M and M2 are integer constants, 1 < < -L and 1 < m2 < M2 are integer numbers, and EDinter is the intercity mileage.