ConvLSTM-Based Vehicle Detection and Localization in Seismic Sensor Networks

ConvLSTM-Based Vehicle Detection and Localization in Seismic Sensor Networks

Localization of moving military vehicles plays a vital role for border security and safeguarding high-security facilities. Commonly applied range-based localization techniques such as time of arrival, time difference of arrival, angle of arrival, and received signal strength rely on known transmitte...

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Bibliographic Details
Main Authors: Erdem Kose, Ali Koksal Hocaoglu
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Convolutional neural networks
long short-term memory
military vehicles
seismic waves
vehicle detection
vehicle location estimation
Online Access:https://ieeexplore.ieee.org/document/10348590/

Internet

https://ieeexplore.ieee.org/document/10348590/

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