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Challenges and Opportunities for Autonomous Vehicle Query Systems
Abstract
Autonomous vehicles (AVs) collect and process rich visual and dimensional data as they operate. Across a fleet of AVs, the collective data forms an up-to-date partial snapshot of the physical world. The ability to query this data has many use-cases, from finding open parking spots and checking the line outside a coffee shop, to monitoring the usage of urban spaces and road conditions. Managing AV data has unique challenges with respect to data volume, bias, and privacy issues. In this paper, we take steps to describe the design and research opportunities for a new class of data management systems: AV query systems.
Citation
@inproceedings{cidr/2021/cidr2021_paper18,
author = {Fiodar Kazhamiaka and
Matei Zaharia and
Peter Bailis},
title = {Challenges and Opportunities for Autonomous Vehicle Query Systems},
booktitle = {Proceedings of the 11th Conference on Innovative Data Systems Research, CIDR 2021},
publisher = {www.cidrdb.org},
year = {2021},
series = {CIDR 2021},
url = {https://cidr.org/temp-website/papers/2021/cidr2021_paper18.pdf},
location = {Virtual Event}
}