Low-cost underwater localisation using single-beam echosounders and inertial measurement units

Underwater robot localisation is challenging as it cannot rely on sensors such as the GPS due to electromagnetic wave attenuation or optical cameras due to water turbidity. SONARs are immune to these issues, hence they are used as alternatives for underwater navigation despite lower spatial and temp...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Abu Bakr Azam, Kong, Ze Jie, Ng, Sing Yew, Scherrer, Michael Florian, Elhadidi, Basman, Seet, Gerald, Zheng, Jianmin, Cai, Yiyu
مؤلفون آخرون: Interdisciplinary Graduate School (IGS)
التنسيق: Conference or Workshop Item
اللغة:English
منشور في: 2023
الموضوعات:
الوصول للمادة أونلاين:https://hdl.handle.net/10356/165700
https://proceedings-limerick.oceans2023.org/session.cfm?sid=21
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المؤسسة: Nanyang Technological University
اللغة: English
الوصف
الملخص:Underwater robot localisation is challenging as it cannot rely on sensors such as the GPS due to electromagnetic wave attenuation or optical cameras due to water turbidity. SONARs are immune to these issues, hence they are used as alternatives for underwater navigation despite lower spatial and temporal resolution. Single-beam SONARs are sensors whose main output is distance. When combined with a filtering algorithm like the Kalman filter, these distance readings can correct localisation data obtained by inertial measurement units. Compared to multi-beam imaging SONARs, the single-beam SONARs are inexpensive to integrate into underwater robots. Therefore, this study aims to develop a low-cost localisation solution utilizing single-beam SONARs and pressure-based depth sensors to correct dead-reckoning linear localisation data using Kalman filters. From experiments, a single-beam SONAR per degree of freedom was able to correct localisation data, without the need of complicated data fusion methods.