Energy-Efficient Computing Acceleration of Unmanned Aerial Vehicles Based on a CPU/FPGA/NPU Heterogeneous System-Reference-Cited by-同舟云学术

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Energy-Efficient Computing Acceleration of Unmanned Aerial Vehicles Based on a CPU/FPGA/NPU Heterogeneous System

Published:2024-08-15 Issue:16 Volume:11 Page:27126-27138
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Liu Xing¹^ORCID,Xu Wenxing²^ORCID,Wang Qing²,Zhang Mengya³^ORCID

Affiliation:

1. Hubei Key Laboratory of Transport Internet of Things, Wuhan University of Technology, Wuhan, China

2. School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China

3. School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan, China

Funder

Ministry of Education of China (MOE) and Intel Industry-University Cooperation Collaborative Education Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10623554/10525057.pdf?arnumber=10525057

Reference41 articles.

1. Towards the Unmanned Aerial Vehicles (UAVs): A Comprehensive Review

2. A new golden age for computer architecture

3. Accelerating Robot Dynamics Gradients on a CPU, GPU, and FPGA

4. DaVinci: A Scalable Architecture for Neural Network Computing

5. Performance modeling on DaVinci AI core

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