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EdgeMap: CrowdSourcing High Definition Map in Automotive Edge Computing. (arXiv:2201.07973v1 [cs.LG])
Jan. 21, 2022, 2:10 a.m. | Qiang Liu, Yuru Zhang, Haoxin Wang
cs.LG updates on arXiv.org arxiv.org
High definition (HD) map needs to be updated frequently to capture road
changes, which is constrained by limited specialized collection vehicles. To
maintain an up-to-date map, we explore crowdsourcing data from connected
vehicles. Updating the map collaboratively is, however, challenging under
constrained transmission and computation resources in dynamic networks. In this
paper, we propose EdgeMap, a crowdsourcing HD map to minimize the usage of
network resources while maintaining the latency requirements. We design a DATE
algorithm to adaptively offload vehicular …
arxiv automotive computing crowdsourcing edge edge computing map
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