HIGH PRECISION POSITION ESTIMATION METHOD THROUGH ROAD SHAPE CLASSIFICATION-BASED MAP MATCHING AND AUTONOMOUS VEHICLE THEREOF

A high precision position estimation method through a road shape classification-based map matching implemented by a high precision position estimation system of an autonomous vehicle includes classifying a road into a straight lane, a curved lane, and a clothoid curve lane by the lane matching betwe...

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Bibliographic Details
Main Authors KIM, Ka-Min, JEONG, Ji-Min, KIM, Sang-Kwon, JO, Ki-Chun, HWANG, Dae-Sung, RYU, Cho-Rong
Format Patent
LanguageEnglish
Published 09.06.2022
Subjects
CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE ORDIFFERENT FUNCTION
CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES
GYROSCOPIC INSTRUMENTS
MEASURING
MEASURING DISTANCES, LEVELS OR BEARINGS
NAVIGATION
PERFORMING OPERATIONS
PHOTOGRAMMETRY OR VIDEOGRAMMETRY
PHYSICS
ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT
SURVEYING
TESTING
TRANSPORTING
VEHICLES IN GENERAL
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Summary:A high precision position estimation method through a road shape classification-based map matching implemented by a high precision position estimation system of an autonomous vehicle includes classifying a road into a straight lane, a curved lane, and a clothoid curve lane by the lane matching between a sensor lane segment and a map lane segment, generating a movement amount value calculated by applying a geometric feature-based map matching or an optimization-based map matching to the classified lane as a covariance matrix, and calculating the latitude, longitude, and traveling direction of a vehicle to be estimated by combining the covariance matrix with sensor measurement values of a vehicle speed and a yaw rate by an extended Kalman filter.
Bibliography:Application Number: US202117462823