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

• Main Authors: KIM, Ka-Min, JEONG, Ji-Min, KIM, Sang-Kwon, JO, Ki-Chun, HWANG, Dae-Sung, RYU, Cho-Rong
• Format: Patent
• Language: English
• 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

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.