Search Results for author: Enze Huo

Found 2 papers, 0 papers with code

SIAD: Self-supervised Image Anomaly Detection System

no code implementations8 Aug 2022 Jiawei Li, Chenxi Lan, Xinyi Zhang, Bolin Jiang, Yuqiu Xie, Naiqi Li, Yan Liu, Yaowei Li, Enze Huo, Bin Chen

To make a step forward, this paper outlines an automatic annotation system called SsaA, working in a self-supervised learning manner, for continuously making the online visual inspection in the manufacturing automation scenarios.

Anomaly Detection Cloud Computing +1

Mining Truck Platooning Patterns Through Massive Trajectory Data

no code implementations11 Oct 2020 Xiaolei Ma, Enze Huo, Haiyang Yu, Honghai Li

Truck platooning refers to a series of trucks driving in close proximity via communication technologies, and it is considered one of the most implementable systems of connected and automated vehicles, bringing huge energy savings and safety improvements.

Clustering Computational Efficiency

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