CSS Electronics has introduced the standalone CANmod.gps, which provides GNSS and 3D IMU (inertial measurement unit) data via a CAN interface.
The GPS-to-CAN module provides GNSS (global navigation satellite system) position and 3D inertial data (via a gyroscope and accelerometer). The data is output via CAN frames with configurable bit-rates and CAN-IDs. This enables the integration with any CAN system, including any CAN data logger and CAN interface. The CAN-IDs, bit-rate, data frequency, etc. can be customized via USB using a GUI (graphical user interface). The module’s possibilities can be seen in a Youtube video.
The device supports the Untethered Dead Reckoning also known as sensor fusion. Sensor fusion enables precise position/attitude data in GNSS hostile areas. This means that even if the GNSS signal is lost entirely (e.g. in a tunnel or mine), the module continues to deliver positioning through IMU-based estimates.
The standalone module requires no PC for operation and includes a DBC (data base CAN) for decoding of CAN messages. The device comes in a robust aluminum enclosure that measures 70 mm x 20 mm x 50 mm and weighs 70 g. It produces a 1-Hz precise GNSS position with a hot start possible via a battery backup. The built-in gyroscope and accelerometer produce 3D IMU data at 100 Hz.
The device can be used to inject GNSS/IMU data via CAN frames directly into e.g. an in-vehicle/-machine CAN network, so that other CAN nodes can react based on the data. Alternatively, it can be used as an add-on for any CAN data recording hardware. For example, the module can be used as a plug-and-play add-on for the CANedge data logger series. In this setup, the CANedge can record e.g. in-vehicle CAN data via Channel 1 and GNSS/IMU data from the CANmod.gps via Channel 2. This makes it easy to e.g. set up telematics dashboards as seen in an example dashboard playground combining OBD2 data from a car with GNSS/IMU data.
The device outputs a wide array of useful signals, including GNSS position, speed, attitude (roll, pitch, yaw), altitude, odometer, 3D angular rates, 3D acceleration rates, geofences, and time.
A case study from Gustave Eiffel University shows how the CANedge2 data logger and CANmod.gps are used to construct databases with information on icy roads for optimizing salting in France.
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