Edge-assisted adaptive offloading algorithm for 3D object detection tasks

Kangli Zhao, Zhongrui Gou and Huaqing Liu

PLOS ONE, 2026, vol. 21, issue 4, 1-1

Abstract: Multimodal 3D object detection is crucial for autonomous systems but suffers from high delay due to significant computational demands. To address this, we propose an edge computing-assisted framework that balances load between terminal devices and edge servers. We introduce dynamic threshold tuning and resolution-adaptive offloading algorithms to optimize performance. Experimental results demonstrate that our approach significantly reduces delay by minimizing offloading frequency while maintaining high accuracy, achieving a superior delay-accuracy trade-off. Furthermore, the framework exhibits robust adaptability across various models and bandwidth conditions, ensuring effectiveness in dynamic environments.

Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0345876

DOI: 10.1371/journal.pone.0345876

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