@inproceedings{8cb51c8bae534adb8894aee28b69f114,
title = "Analysing communication requirements for crowd sourced backend generation of HD Maps used in automated driving",
abstract = "Highly automated vehicles rely on high-definition maps to ensure both safety and comfort of their passengers while driving. The maps provide a centimetre-accurate representation of the surrounding infrastructure to the car and ease tasks like localisation and object recognition by providing comparable reference material. Maintaining the maps with updates for the current traffic situation (e.g.traffic jams or construction work) is a challenging task. In the German government-funded research project Cooperative Highly Automated Driving (Ko-HAF) it is investigated to what extend vehicle sensors can be used to update these kinds of maps. In this work we present our obtained results and investigate the requirements for the cellular network infrastructure required for highly automated driving. To the best of our knowledge this work is one of the first that provides this correlation between data requirements and network infrastructure capabilities.",
keywords = "HD-map, cellular communication, highly automated driving, updates",
author = "Florian Jomrich and Josef Schmid and Steffen Knapp and Alfred Hos and Ralf Steinmetz and Bj{\"o}rn Schuller",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE Vehicular Networking Conference, VNC 2018 ; Conference date: 05-12-2018 Through 07-12-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/VNC.2018.8628335",
language = "English",
series = "IEEE Vehicular Networking Conference, VNC",
publisher = "IEEE Computer Society",
editor = "Onur Altintas and Hsin-Mu Tsai and Kate Lin and Mate Boban and Chih-Yu Wang and Taylan Sahin",
booktitle = "2018 IEEE Vehicular Networking Conference, VNC 2018",
}