Toyota Map Generation System

2016 CES: Toyota develops Map Generation System for self-driving

Toyota developed a new Map Generation System that actualizes self-driving. Toyota announced that they will display this technology at the 2015 International CES, which will be held in Las Vegas, USA from January 6 to 9, 2016.

In order to actualize self-driving technology, there is a need for understanding the vehicle’s location information and traffic rules. The required information should be updated regularly. As of now, measuring vehicles that have 3D scanners are operating, the existing map has low updating frequency, and the information given is not recent. Further, they also produced exclusive map data for assistance, such as white road lines and signs, so it had a huge cost.

This developed system adopts a space information generation system called Cosmic, which was developed by Toyota Central R&D Labs., Inc. Its location information, which is brought about by image data and GPS of the collected road surface when driving a vehicle that has an installed camera, is collected and revised in a data center. Therefore, they will create high-precision mapping data that automatically covers a wider area.

There’s a huge measurement error in the data gathered from the in-vehicle camera and GPS, but with the help of technology that can grasp the driving track of the vehicle well, and technology that integrates and revises the road surface information data from several cars, the measurement error for the location will be reduced. The straight lanes will have higher accuracy with a 5cm measurement difference. Furthermore, the information gathering will be applied to production models and existing infrastructures so it can update information in actual time, and it also enables a lower system structure.

Toyota aims to implement this system in 2020 as they develop one of the important underlying technologies, which needs auto driving in a special road for self-driving cars, that is under development. They will expand its functions with regards to obstacles in public roads and on normal roads in the future. Furthermore, they are also strengthening their cooperation with map manufacturers as they view public and private services of the high-precision map generation system.

(Translated by Claire Marie Sausora)