cs.AI updates on arXiv.org 09月30日
全国首个外卖配送行业HAR技术应用
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本文介绍了我国首次在外卖配送行业大规模应用人类活动识别(HAR)技术,通过将LIMU-BERT模型应用于配送平台,实现了从可行性研究到全国范围内的推广,覆盖367个城市,500,000名快递员。应用HAR技术带来显著运营和经济效益,并分享了部署经验和开源预训练模型。

arXiv:2509.24303v1 Announce Type: new Abstract: This paper presents the first nationwide deployment of human activity recognition (HAR) technology in the on-demand food delivery industry. We successfully adapted the state-of-the-art LIMU-BERT foundation model to the delivery platform. Spanning three phases over two years, the deployment progresses from a feasibility study in Yangzhou City to nationwide adoption involving 500,000 couriers across 367 cities in China. The adoption enables a series of downstream applications, and large-scale tests demonstrate its significant operational and economic benefits, showcasing the transformative potential of HAR technology in real-world applications. Additionally, we share lessons learned from this deployment and open-source our LIMU-BERT pretrained with millions of hours of sensor data.

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HAR技术 外卖配送 LIMU-BERT 大规模应用 经济效益
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