MicroStrain 3DM-CV7-INS Tactical Grade Embeddable Inertial Navigation System

Value-focused embeddable tactical grade inertial navigation system with external position and velocity inputs. Features an advanced Extended Kalman Filter, cutting-edge orientation algorithms, advanced time management, and event triggering system.

Specs

Sensor

  • Tactical grade gyro (1.5°/hr bias instability)
  • Fully calibrated over entire temperature range
  • Roll/pitch static accuracy: 0.25°, dynamic accuracy: 0.5°
  • Integrated magnetometer for absolute heading tracking

Operation

  • Onboard Extended Kalman Filter for attitude estimation
  • User-selectable accelerometer and gyroscope range
  • 1 KHz output data rate for all channels
  • Factory supported ROS1 and ROS2 driver
  • SensorConnect software for configuration, control, display, and logging
  • MSCL open source API for easy integration

Package

  • Anodized aluminum mounting base
  • Precision alignment features
  • Compact and low profile
    • 38mm x 24mm x 8.6mm
    • 8.3 grams
    • 18% thinner than the 3DMCV5
    • 20% lighter than the 3DMCV5
  • USB and UART (TTL) interface
  • –40 to +85°C operating temperature range

Use Cases

Agriculture

Compact, state-of-the art inertial sensors with proven fifth generation high-performance industrial grade solid-state MEMS accelerometer and gyro inertial sensor technology.

Low-cost, compact size and full 360-degree measurement range about all axes

Full accuracy over the entire operational temperature range of -40°C to 85°

Auto-Adaptive Extended Kalman Filter for optimal dynamic accuracy and on-vehicle performance.

Mobile Robotics

Low-noise, linear, and stable MEMS gyros and accelerometers enable superior heading accuracy during turns & bumps

Auto-adaptive Kalman Filter algorithms provide exceptional dynamic performance

Auto self-calibration and automatic anomaly rejection make units with magnetometer reliable and accurate heading reference

Fully calibrated and temperature compensated IMUs provide stable performance in demanding environments

Antenna and Camera Pointing

Low-noise, low latency, and linear MEMS gyros and accelerometers result in accurate and stable attitude tracking

Rugged machined aluminum industrial packaging provides reliable performance in high-vibration and shock environments

Compact OEM versions for embedded applications permit lower cost without losing accuracy

Software

ROS

Robot Operating System (ROS) is an open-source, meta-operating system for your robot. It provides the services you would expect from an operating system, including hardware abstraction, low-level device control, implementation of commonly-used functionality, message-passing between processes, and package management. ROS can be used in building and simulating robotics applications, as well as unmanned ground vehicles and simultaneous localization and mapping (SLAM). To facilitate better integration within the ROS ecosystem Microstrain has develop an open source License free (MIT License) series of drivers specifically designed and tested for ROS.

SensorCloud

Free and paid plans available

SensorCloud is a unique sensor data storage, visualization, and remote management platform that leverages powerful Cloud computing technologies to provide excellent data scalability, rapid visualization, and user programmable analysis.

LORD sensors can instantly upload their data to SensorCloud via an ethernet-connected WSDA-2000. Once uploaded, your data is securely stored in the Cloud and can be accessed from anywhere, or downloaded for offline use.

Configurable alerts can be set to help notify you of real-time event in your data.

MathEngine allows you to perform analytics on your data, all in the Cloud. Pre-built functions are available for ease of use, while IPython Notebooks allow advanced users to write custom scripts to be run on their data once, or on a schedule.

{MSCL}

Free and open source API

The MicroStrain Communication Library (MSCL) makes it simple to write code that interacts with our Wireless, Inertial, and Displacement sensors.

MSCL is completely open source and hosted on GitHub under the MIT license.

Full documentation, example code, and a quick start guide are provided to help you get started.

Available for C++, Python, and .NET.

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