Travel-lane estimation system
A travel-lane estimation system includes: a GNSS receiver; a vehicle-speed calculator; an angular-velocity measurement mechanism; a subject-vehicle-position positioner calculating a vehicle's reference coordinate and reference orientation from a GNSS coordinate, and calculating time series data of vehicle's positions; a map information storage storing positional information about a division line of each lane; and a lane estimator calculating, as an optimal correction amount, an error pattern having a highest posterior probability among plural error patterns, correcting the time series data using the optimal correction amount, and comparing the corrected time series data with the division line, to estimate a vehicle's travel lane, the posterior probability calculated with the product of prior occurrence probability of the time series data by the plural error patterns and a likelihood calculated, under condition that the error pattern has occurred, based on a relative positional relationship between the corrected time series data and the division line.
1. A travel-lane estimation system comprising:
a GNSS receiver configured to receive a coordinate of a vehicle through a Global-Navigation-Satellite-System (GNSS); and
circuitry configured to
calculate a vehicle speed from a travel distance of the vehicle;
measure an angular velocity from an amount of change in vehicle's orientation;
calculate a reference coordinate of the vehicle and a reference orientation of the vehicle from the coordinate, and calculate time series data of positioning coordinates of the vehicle and positioning orientations of the vehicle from the reference coordinate, the reference orientation, the vehicle speed, and the angular velocity;
store map information including positional information about a division line of a lane; and
calculate, as a calculated correction amount, an error pattern having a posterior probability that is the highest among a plurality of error patterns, correct the time series data using the calculated correction amount, and compare the time series data as corrected with the division line, to estimate a travel lane of the vehicle, the posterior probability being calculated with a product of a prior occurrence probability of the time series data by the plurality of error patterns and a likelihood which is calculated, under a condition that the error pattern has occurred, on the basis of a relative positional relationship between the time series data after correction and the division line.
2. A travel lane estimation system comprising:
a GNSS receiver configured to receive a coordinate of a vehicle through a Global-Navigation-Satellite-System (GNSS); and
circuitry configured to
calculate a vehicle speed from a travel distance of the vehicle;
measure an angular velocity from an amount of change in vehicle's orientation;
calculate a reference coordinate of the vehicle and a reference orientation of the vehicle from the coordinate, and calculate time series data of positioning coordinates of the vehicle and positioning orientations of the vehicle from the reference coordinate, the reference orientation, the vehicle speed, and the angular velocity;
store map information including information about node coordinates forming a road link, a road width, the number of lanes, and a travelable direction;
calculate a division line of a lane from the map information; and
calculate, as a calculated correction amount, an error pattern having a posterior probability that is the highest among a plurality of error patterns, correct the time series data using the calculated correction amount, and compare the time series as corrected with the division line, to estimate a travel lane of the vehicle, the posterior probability being calculated with a product of a prior occurrence probability of the time series data by the plurality of error patterns and a likelihood which is calculated, under a condition that the error pattern has occurred, on the basis of a relative positional relationship between the time series data after correction and the division line.
3. The travel-lane estimation system according to claim 1 , wherein the relative positional relationship between the time series data and the division line includes at least one of a relationship of intersection between a line linking the time series data and the division line, or a distance-continuation relationship between the time series data and the division line.
4. The travel-lane estimation system according to claim 1 , wherein the error pattern comprises a combination of a coordinate error and an orientation error.
5. The travel-lane estimation system according to claim 1 , wherein the error pattern comprises an orientation error alone.
6. The travel-lane estimation system according to claim 1 , wherein the error pattern comprises an orientation error alone in a high-standard road, and comprises a combination of a coordinate error and the orientation error in a road other than the high-standard road.