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Recently, the field of autonomous driving has been dramatically expanding, and some of the key technologies like the Lane Keeping Assist (LKA) system have begun to be applied to mass production vehicles. In general, mass-produced LKA systems use a lane detection camera as a means of keeping the lane. One of the common limitations of camera-based LKA systems is that the lane keeping performance significantly decreases when the camera cannot detect lane markings for various reasons such as snow coverage and sunlight. To overcome this limitation, we have developed a Global Navigation Satellite System (GNSS) based LKA system, which is not affected by the surrounding environment such as weather and lighting. Our LKA system uses centimeter-level augmentation service and high-definition maps, whereby the LKA system can accurately estimate its own position.

Accuracy of positioning with GNSS (Global Navigation Satellite System) has been improved in recent years. Especially in Japan, high accuracy GNSS service, QZSS (Quasi Zenith Satellite System), will start in 2018 and the first QZS, “MICHIBIKI” has been already launched. They will broadcast correction data which enhances GNSS performance and realize cm-order positioning. In this paper, we, Mitsubishi Electric develop the estimation algorithm of vehicle position and attitude and also adapt the algorithm to a test vehicle which can trace automatically the calculated path with EPS (Electric Power Steering) and high accuracy GNSS. Although the GNSS receiver calculates the longitude and latitude of the vehicle every second, it is not enough to control vehicle dynamics smoothly. So we estimate vehicle position and attitude of the vehicle with GNSS and vehicle sensors in high frequency.