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Document type:
Zeitschriftenaufsatz
Author(s):
Eisele, Jona; Gerlach, André; Maeder, Marcus; Marburg, Steffen
Title:
Relevance of phase information for object classification in automotive ultrasonic sensing using convolutional neural networks
Abstract:
Automotive ultrasonic sensors come into play for close-range surround sensing in parking and maneuvering situations. In addition to ultrasonic ranging, classifying obstacles based on ultrasonic echoes to improve environmental perception for advanced driver-assistance systems is an ongoing research topic. Related studies consider only magnitude-based features for classification. However, the phase of an echo signal contains relevant information for target discrimination. This study discusses and...     »
Journal title:
The Journal of the Acoustical Society of America
Year:
2024
Journal volume:
155
Month:
02
Journal issue:
2
Pages contribution:
1060-1070
Fulltext / DOI:
doi:10.1121/10.0024753
WWW:
https://doi.org/10.1121/10.0024753
Print-ISSN:
0001-4966
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