Tsinghua University

Wenju Gao

Jun Li

Xinyu Zhang

Huaping Liu

Mo Zhou

Shichun Guo

An intelligent vehicle positioning method based on feature point calibration is provided. The intelligent vehicle positioning method includes: determining whether an intelligent vehicle is located in a blind area or a non-blind area; when the intelligent vehicle is located in a GNSS non-blind area, combining GNSS signals, odometer data and inertial measurement unit data, acquiring a current pose of the intelligent vehicle through a Kalman filtering, scanning a surrounding environment of the intelligent vehicle by using a laser radar, extracting corner points and arc features and performing processing to obtain the corner points and circle centers as the feature points, calculating global coordinates and weights of the feature points and storing the global coordinates and the weights of the feature points in a current feature point list.

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Beijing, China

Wenju Gao