Intelligent Provisioning of High Definition Street Maps for Highly Automated Driving Vehicles
Key: Jom17-1
Author: Florian Jomrich
Date: March 2017
Kind: In proceedings
Book title: Proceedings of: International Conference on Networked Systems (NetSys 2017)
Abstract: High definition street maps are necessary to ensure the passenger safety of future highly automated driving vehicles. The map serves as a virtual representation of the surrounding of the car. Thus the vehicle itself is able to compare its on board sensors with this ”virtual” sensor. Therefore it achieves precise and robust information about the actual current traffic situation, which would not be obtainable otherwise. To stay operational, the high definition street map has to receive constantly updates about the newest traffic conditions. The creation and transmission of such highly detailed map updates generates several key challenges. So this PhD thesis focuses on the development of new intelligent concepts to ensure the robust and efficient operation of such a map.
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