Luca Parolini
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Online Map Validation for Autonomous Driving

ACM Computer Science in Cars Symposium (CSCS 2019), 2019

Authors
Andrea Fabris, Felix Drost, Luca Parolini, Qing Rao, Andreas Rauch, Sebastian Schneider, Sebastian Wagner, Alois Knoll
Published
CSCS

Overview of the map validation pipeline

Abstract

Data in HD maps used by autonomous vehicles can be outdated and erroneous. This paper proposes two complementary approaches for online map validation. One uses model-based frameworks while the other applies deep similarity learning techniques. Together they allow the vehicle to detect map inconsistencies in real time from live sensor data, enabling safer autonomous operation.

Cite

A. Fabris et al., “Online Map Validation for Autonomous Driving,” in ACM Computer Science in Cars Symposium (CSCS), Oct. 2019.

BibTeX
@inproceedings{fabris2019,
	author = {Fabris, Andrea and Drost, Felix and Parolini, Luca and Rao, Qing and Rauch, Andreas and Schneider, Sebastian and Wagner, Sebastian and Knoll, Alois},
	booktitle = {ACM {Computer} {Science} in {Cars} {Symposium} ({CSCS})},
	year = {2019},
	month = {oct},
	title = {Online {Map} {Validation} for {Autonomous} {Driving}},
}

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