Accuracy-Aware Cooperative Sensing and Computing for Connected Autonomous Vehicles
Xuehan Ye,
Kaige Qu,
Weihua Zhuang
et al.
Abstract:To maintain high perception performance among connected and autonomous vehicles (CAVs), in this paper, we propose an accuracy-aware and resource-efficient raw-level cooperative sensing and computing scheme among CAVs and road-side infrastructure. The scheme enables fined-grained partial raw sensing data selection, transmission, fusion, and processing in per-object granularity, by exploiting the parallelism among object classification subtasks associated with each object. A supervised learning model is trained … Show more
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