In-situ calibration of marine sensors requires close-range positioning. In turn, localization relative to a given object of interest is necessary. This paper deals with the detection of a vertical cable hanging from a marine observatory implemented by means of a moored buoy. An algorithm composed of sequential image filtering, segmentation and template matching is proposed. Two approaches for generating the cable's acoustic image template are introduced. The performance of the approaches, obtained by comparison with ground-truth measurements, are illustrated over challenging cluttered acoustic images collected in a test tank. The results indicate a performance better than 74% of the best candidate to match the actual cable.
|Title of host publication||2022 IEEE/OES Autonomous Underwater Vehicles Symposium, AUV 2022|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|State||Published - 2022|
|Event||2022 IEEE/OES Autonomous Underwater Vehicles Symposium, AUV 2022 - Singapore, Singapore|
Duration: 19 Sep 2022 → 21 Sep 2022
|Name||2022 IEEE/OES Autonomous Underwater Vehicles Symposium, AUV 2022|
|Conference||2022 IEEE/OES Autonomous Underwater Vehicles Symposium, AUV 2022|
|Period||19/09/22 → 21/09/22|
Bibliographical noteFunding Information:
This work was supported by the Joint Project for Israel and Portugal Ministries of Science under grants numbers 3-16525 and PT-IL/0002/2019, respectively.
© 2022 IEEE.
- Sensor calibration
- Sonar detection
- Template matching.
ASJC Scopus subject areas
- Computer Networks and Communications
- Automotive Engineering
- Control and Optimization