mlsanityData to 7 Oct 2026

High Definition, Inexpensive, Underwater Mapping

arXiv 2203.05640 ↗First posted 10 Mar 2022cs.CV cs.ROcited by 9

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 10 of its 58 references that are in the map. First posted on arXiv 10 Mar 2022.

Builds on

10 of 58 references.

References · 10

  1. 2020ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAMcited by 862
  2. 2017VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimatorcited by 418
  3. 2020TEASER: Fast and Certifiable Point Cloud Registrationcited by 274
  4. 2018The TUM VI Benchmark for Evaluating Visual-Inertial Odometrycited by 94
  5. 2019AQUALOC: An Underwater Dataset for Visual-Inertial-Pressure Localizationcited by 18
  6. 2018SVIn2: An Underwater SLAM System using Sonar, Visual, Inertial, and Depth Sensorcited by 16
  7. 2019Experimental Comparison of Open Source Visual-Inertial-Based State Estimation Algorithms in the Underwater Domaincited by 16
  8. 2019Navigation in the Presence of Obstacles for an Agile Autonomous Underwater Vehiclecited by 11
  9. 2021AquaVis: A Perception-Aware Autonomous Navigation Framework for Underwater Vehiclescited by 7
  10. 2019Real-time Model-based Image Color Correction for Underwater Robotscited by 4

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 4; 2024: 2; 2025: 1; 2026: 2.

9 papers.