March 11, 2024, 4:42 a.m. | Kai Xiong, Rui Wang, Supeng Leng, Wenyang Che, Chongwen Huang, Chau Yuen

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.05133v1 Announce Type: cross
Abstract: Urban Air Mobility (UAM) expands vehicles from the ground to the near-ground space, envisioned as a revolution for transportation systems. Comprehensive scene perception is the foundation for autonomous aerial driving. However, UAM encounters the intelligent perception challenge: high perception learning requirements conflict with the limited sensors and computing chips of flying cars. To overcome the challenge, federated learning (FL) and other collaborative learning have been proposed to enable resource-limited devices to conduct onboard deep learning …

abstract aerial arxiv autonomous challenge conflict control cs.it cs.lg cs.ni distributed distributed learning driving foundation however intelligent math.it mobility near perception requirements space systems topology transportation type urban vehicles

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