A Comparative Analysis of Deep Learning-Based Object Detectors for Embedded Systems-Reference-Cited by-同舟云学术

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A Comparative Analysis of Deep Learning-Based Object Detectors for Embedded Systems

Published:2023-09-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)
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Author:

Boltov Yehor¹,Skarga-Bandurova Inna²,Derkach Maryna³

Affiliation:

1. G.E. Pukhov Institute for Modelling in Energy Engineering,Kyiv,Ukraine,03164

2. Oxford Brookes University,Oxford,UK,OX33 1HX

3. Ternopil Ivan Puluj National Technical University,Ternopil,Ukraine,46001

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10348627/10348628/10348642.pdf?arnumber=10348642

Reference28 articles.

1. Safe Navigation of an Autonomous Robot in Dynamic and Unknown Environments

2. Obstacle Avoidance Algorithm for Small Autonomous Mobile Robot Equipped with Ultrasonic Sensors

3. An Overview of Machine Learning within Embedded and Mobile Devices–Optimizations and Applications

4. Object Detection With Deep Learning: A Review

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