NDLI: Road structure classification through artificial neural network for automotive radar systems

Content Provider	IET Digital Library
Author	Sim, Heonkyo Lee, Seongwook Lee, Byeong ho Kim, Seong Cheol
Abstract	This study proposes an artificial neural network-based method to classify road structures for automotive radar systems. Generally, road structures generate unwanted echoes called clutter, which degrades the performance of target detection, and may cause critical errors in autonomous driving modes. However, recognition and classification of each individual structure type is very difficult, because there are various types of structures made by different materials which cause ambiguity in the recognition and classification process. To deal with these classification ambiguities, the authors propose an artificial neural network-based recognition and classification method. Road structures are classified by applying artificial neural network to the frequency domain-received signals of automotive radar systems. Once the neural network has been trained with the received signals, it is used to determine the type of road structure with instantaneous received signals. The classification performance was evaluated by experimenting with the number of antenna elements and radar snapshots. In addition, to find the most suitable artificial neural network structure, the authors experimented with the number of nodes and layers. After completing a period of deep learning using actual experimental data, the total classification accuracy was about 95%.
Starting Page	1010
Ending Page	1017
Page Count	8
ISSN	17518784
Volume Number	13
e-ISSN	17518792
Issue Number	Issue 6, Jun (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/13/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2018.5610
Journal	IET Radar, Sonar & Navigation
Publisher Date	2019-02-21
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Artificial Neural Network-based Method Artificial Neural Network-based Recognition Automobile Electronics Automotive Radar System Classification Ambiguities Classification Method Classification Performance Classification Process Frequency Domain Analysis Individual Structure Type Knowledge Engineering Technique Learning in AI Neural Computing Technique Neural Nets Object Detection Optical, Image And Video Signal Processing Pattern Classification Radar Equipment Road Structure Classification Road Vehicle Radar Statistics Suitable Artificial Neural Network Structure System And Application Total Classification Accuracy
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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