Real Time Object Detection with Noisy Sensors Using Deep Learning
In this paper, we introduce a first of its kind, radio-signal based object detection system for controlled environments, which substitutes complex signal processing and expensive hardware with deep learning networks to detect patterns from low-quality, inexpensive sensors. Our system operates in the...
Main Authors: | Aditya Singh, Pratyush Kumar, Vedansh Priyadarshi, Yash More |
---|---|
Format: | Article |
Language: | English |
Published: |
IFSA Publishing, S.L.
2021-02-01
|
Series: | Sensors & Transducers |
Subjects: | |
Online Access: | https://sensorsportal.com/HTML/DIGEST/february_2021/Vol_249/P_3203.pdf |
Similar Items
-
INTRUSION ASCERTAINMENT BY THE ANALYSIS OF SURROUNDING WIRELESS SIGNALS WITH SOFTWARE DEFINED RADIO
by: Janusz Zawadzki
Published: (2016-12-01) -
Implementation of a Noise-Shaped Signaling System through Software-Defined Radio
by: Junsung Choi, et al.
Published: (2022-01-01) -
SDR-based Intelligent Cooperative Spectrum Sensing for Cognitive Radio Systems
by: Ali Radhi, et al.
Published: (2023-02-01) -
Compact Coplanar Waveguide Antenna Using Arm Patch for Software Defined Radio
by: Nurul Fahmi Arief Hakim, et al.
Published: (2023-08-01) -
Transfer Learning based Location-Aided Modulation Classification in Indoor Environments for Cognitive Radio Applications
by: K. Tamizhelakkiya, et al.
Published: (2023-12-01)