Search Results for author: Xingzhou Zhang

Found 4 papers, 1 papers with code

E$^3$-UAV: An Edge-based Energy-Efficient Object Detection System for Unmanned Aerial Vehicles

no code implementations9 Aug 2023 Jiashun Suo, Xingzhou Zhang, Weisong Shi, Wei Zhou

We first present an effective evaluation metric for actual tasks and construct a transparent energy consumption model based on hundreds of actual flight data to formalize the relationship between energy consumption and flight parameters.

Fire Detection Object +2

HIT-UAV: A high-altitude infrared thermal dataset for Unmanned Aerial Vehicle-based object detection

1 code implementation7 Apr 2022 Jiashun Suo, Tianyi Wang, Xingzhou Zhang, Haiyang Chen, Wei Zhou, Weisong Shi

We present the HIT-UAV dataset, a high-altitude infrared thermal dataset for object detection applications on Unmanned Aerial Vehicles (UAVs).

Object object-detection +1

pCAMP: Performance Comparison of Machine Learning Packages on the Edges

no code implementations5 Jun 2019 Xingzhou Zhang, Yifan Wang, Weisong Shi

However, little research has been done to evaluate these packages on the edges, making it difficult for end users to select an appropriate pair of software and hardware.

Attribute BIG-bench Machine Learning

OpenEI: An Open Framework for Edge Intelligence

no code implementations5 Jun 2019 Xingzhou Zhang, Yifan Wang, Sidi Lu, Liangkai Liu, Lanyu Xu, Weisong Shi

At the same time, we have witnessed the proliferation of AI algorithms and models which accelerate the successful deployment of intelligence mainly in cloud services.

Edge-computing

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