Inertial Explorer® post-processing software from our Waypoint® Products Group is a powerful and highly configurable processing engine that allows for the best possible GNSS/INS accuracy using all available GNSS data. Inertial Explorer software takes advantage of features like local base station differential processing, processing forward and reverse in time, backward smoothing and application of precise satellite clock and orbit information, to generate a much more accurate solution than is possible in real time.
- Loosely and tightly coupled GNSS/INS processing
- Boresight module for solving angular offsets between IMU and camera frames
- NovAtel’s AdVance® RTK
- Easy integration with our SPAN® GNSS/INS products
- Streamlined Project Wizard for quick startup
- Single step GNSS and Inertial Measurement Unit (IMU) processing for efficient workflow
- Built-in processing profiles for airborne, ground and marine projects
- Support for multiple base stations
- Precise Point Positioning (PPP) processing
Inertial Explorer integrates rate data from six degrees of freedom Inertial Measurement Unit (IMU) sensor arrays with GPS information. It is designed to utilize strapdown accelerometer (Dn) and angular rate (Dq) information to produce high rate coordinate and attitude information from a variety of IMUs, including high accuracy navigation grade to Micro Electro-Mechanical Systems (MEMS) sensor types.
Inertial Explorer runs within our familiar Waypoint GrafNav processing environment and data analysis is performed with the same plotting tools. This provides it with all of the same features available in our GrafNav. Inertial Explorer brings GNSS and IMU data together in two different ways:
In loosely coupled mode, processing of the GPS data must first be processed in order to store optimal position, velocity and quality information in the standard GrafNav fwd/rev/cmb files. The IMU component of Inertial Explorer can then perform alignment, mechanization of measurements and filtering
In tightly coupled mode, the GNSS and IMU data are processed simultaneously. Benefits of this include the application of phase updates, which limits inertial error growth when even two GPS satellites are available and automatic ZUPT detection. Tightly coupled processing is suggested for poor signal tracking environments such as ground vehicle survey in urban environments.
It is the user’s responsibility to time tag each set of inertial measurements to the GPS time frame during the data collection process.
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