Problem
Research questions and friction points this paper is trying to address.
Visual-Inertial SLAM
Low-Cost AUVs
Passive Sensors
Towards Effective Visual-Inertial SLAM with Passive-Only Sensors for Low-Cost Autonomous Underwater Vehicles
🤖 AI Summary
研究使用低成本传感器解决低预算自主水下航行器的视觉-惯性SLAM问题，通过优化传感器融合提高导航质量。
📝 Abstract
Improvements to Visual-Inertial Simultaneous Localization and Mapping (VI-SLAM) for low-cost autonomous underwater vehicles (AUVs) are critical for transitioning advanced marine robotics from specialized labs to broader research and hobbyist applications. While high-end AUVs typically rely on expensive sensor suites - such as Doppler Velocity Logs (DVLs) and Ultra-Short Baseline (USBL) systems - this work demonstrates that robust, high-quality navigation is achievable using a sub-$10, 000(USD) platform equipped only with inexpensive consumer-grade sensors. By leveraging a similarly priced, open-source AUV, we evaluate the performance of stereo cameras, Micro-electromechanical System (MEMS)-based IMUs, and depth sensors in a fully unconstrained 6-degree-of-freedom (6-DOF) underwater environment. We analyze the efficacy of off-the-shelf SLAM packages and propose optimizations for sensor fusion to mitigate the visual and physical challenges of untethered underwater operation. Our results prove that a usable SLAM solution can be accessible to the masses, providing a benchmark for expectations in demanding, real-time maritime missions without the financial barrier of industrial-grade hardware.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Visual-Inertial SLAM
Low-Cost AUVs
Sensor Fusion
Consumer-Grade Sensors
🔎 Similar Papers
No similar papers found.
