High Definition, Inexpensive, Underwater Mapping
Joshi, Bharat, Xanthidis, Marios, Rahman, Sharmin, Rekleitis, Ioannis
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Oct-28-2022
- Country:
- Oceania > Australia
- Queensland > Cairns Region > Cairns (0.04)
- North America
- Mexico > Quintana Roo (0.04)
- Canada (0.04)
- United States > South Carolina
- Richland County > Columbia (0.14)
- Charleston County > Charleston (0.04)
- Europe
- Spain (0.04)
- Middle East > Cyprus (0.04)
- Italy > Sicily (0.04)
- Asia > Middle East
- Qatar (0.04)
- Africa > Comoros
- Grande Comore > Moroni (0.04)
- Oceania > Australia
- Genre:
- Research Report (0.50)
- Technology:
- Information Technology > Artificial Intelligence
- Robots (0.73)
- Vision (0.68)
- Machine Learning (0.68)
- Representation & Reasoning (0.48)
- Information Technology > Artificial Intelligence