Success case

EdgeAI2Wild: Integrate BlueROV-2 with NVIDIA Jetson for An Affordable Under-ice Sensing ROV.

Due to climate change, the Arctic is warming two-to-four times faster than the rest of

EdgeAI2Wild: Integrate BlueROV-2 with NVIDIA Jetson for An Affordable Under-ice Sensing ROV.
Industry
Environment & Sustainability
Region
阿拉斯加·野外测试
Application
Under-ice research sampling

Project background and needs

A University of Rhode Island team modified the BlueROV-2 into an under-ice sensing platform and conducted field tests in Utqiagvik, Alaska, to collect biogeochemical data at the ice-water boundary.

Lack of under-ice research tools

  • Biogeochemical research in ice-covered areas is limited by the lack of robust under-ice sensing techniques.
  • Most AUVs were originally developed for open-water applications.

Needs to validate a portable under-ice sensing platform.

Base platform localization

  • The base BlueROV model lacks the sensors needed for good localization.
  • The project needed to connect add-on sensors into the control and visualization systems.

Needs to integrate localization and sensing data.

Solution and architecture

Underwater platform

BlueROV-2 integrates an acoustic modem, a USBL device, AHRS/DVL odometry, and dissolved oxygen and chlorophyll sensors.

Computing and topside

A Jetson mini PC connects the sensors via ROS; the topside computer runs the BlueROV control interface and a customized RViz display for sensor measurements.

Solution components

On-site gallery (2)

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