High Definition, Inexpensive, Underwater Mapping
March 10, 2022 Β· Declared Dead Β· π IEEE International Conference on Robotics and Automation
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Authors
Bharat Joshi, Marios Xanthidis, Sharmin Rahman, Ioannis Rekleitis
arXiv ID
2203.05640
Category
cs.CV: Computer Vision
Cross-listed
cs.RO
Citations
25
Venue
IEEE International Conference on Robotics and Automation
Last Checked
4 months ago
Abstract
In this paper we present a complete framework for Underwater SLAM utilizing a single inexpensive sensor. Over the recent years, imaging technology of action cameras is producing stunning results even under the challenging conditions of the underwater domain. The GoPro 9 camera provides high definition video in synchronization with an Inertial Measurement Unit (IMU) data stream encoded in a single mp4 file. The visual inertial SLAM framework is augmented to adjust the map after each loop closure. Data collected at an artificial wreck of the coast of South Carolina and in caverns and caves in Florida demonstrate the robustness of the proposed approach in a variety of conditions.
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