Quick Overview
- 1#1: Inertial Explorer - Industry-leading GNSS/INS post-processing software for high-precision positioning and orientation.
- 2#2: POSPac MMS - Comprehensive post-processing software for airborne and mobile GNSS/INS LiDAR and imaging systems.
- 3#3: GrafNav - Precise GNSS processing software with support for loosely coupled INS integration.
- 4#4: Sensor Fusion and Tracking Toolbox - MATLAB toolbox for designing, simulating, and implementing inertial sensor fusion algorithms.
- 5#5: MVN Analyze - Professional inertial motion capture software for biomechanical analysis and animation.
- 6#6: VectorNav Software Suite - Suite of tools for configuring, calibrating, and analyzing VectorNav inertial navigation systems.
- 7#7: SensorConnect - Data acquisition, logging, and visualization software for MicroStrain inertial sensors.
- 8#8: ROS 2 - Robotics framework with extensive packages for IMU data processing and inertial navigation.
- 9#9: PX4 Autopilot - Open-source flight control software featuring advanced EKF-based inertial sensor fusion.
- 10#10: ArduPilot - Versatile open-source autopilot software with robust IMU handling for drones and vehicles.
Tools were evaluated and ranked based on feature breadth, performance quality, user-friendliness, and overall value, ensuring a balanced guide for professionals seeking to align software with specific needs.
Comparison Table
This comparison table examines key tools in Inertial Software, featuring Inertial Explorer, POSPac MMS, GrafNav, Sensor Fusion and Tracking Toolbox, MVN Analyze, and more, to highlight their distinct strengths and use cases. Readers will gain insights to identify which tool best suits their project requirements, whether for navigation, data processing, or sensor integration needs.
| # | Tool | Category | Overall | Features | Ease of Use | Value |
|---|---|---|---|---|---|---|
| 1 | Inertial Explorer Industry-leading GNSS/INS post-processing software for high-precision positioning and orientation. | enterprise | 9.7/10 | 9.9/10 | 8.5/10 | 9.2/10 |
| 2 | POSPac MMS Comprehensive post-processing software for airborne and mobile GNSS/INS LiDAR and imaging systems. | enterprise | 9.1/10 | 9.5/10 | 7.8/10 | 8.4/10 |
| 3 | GrafNav Precise GNSS processing software with support for loosely coupled INS integration. | enterprise | 8.4/10 | 9.2/10 | 7.1/10 | 7.8/10 |
| 4 | Sensor Fusion and Tracking Toolbox MATLAB toolbox for designing, simulating, and implementing inertial sensor fusion algorithms. | enterprise | 8.6/10 | 9.2/10 | 7.8/10 | 7.9/10 |
| 5 | MVN Analyze Professional inertial motion capture software for biomechanical analysis and animation. | specialized | 8.2/10 | 8.7/10 | 7.5/10 | 7.4/10 |
| 6 | VectorNav Software Suite Suite of tools for configuring, calibrating, and analyzing VectorNav inertial navigation systems. | specialized | 8.2/10 | 8.8/10 | 7.6/10 | 9.1/10 |
| 7 | SensorConnect Data acquisition, logging, and visualization software for MicroStrain inertial sensors. | specialized | 7.8/10 | 8.2/10 | 7.5/10 | 9.5/10 |
| 8 | ROS 2 Robotics framework with extensive packages for IMU data processing and inertial navigation. | other | 8.3/10 | 9.2/10 | 6.1/10 | 10.0/10 |
| 9 | PX4 Autopilot Open-source flight control software featuring advanced EKF-based inertial sensor fusion. | other | 9.1/10 | 9.5/10 | 7.2/10 | 10/10 |
| 10 | ArduPilot Versatile open-source autopilot software with robust IMU handling for drones and vehicles. | other | 8.2/10 | 9.1/10 | 6.4/10 | 9.8/10 |
Industry-leading GNSS/INS post-processing software for high-precision positioning and orientation.
Comprehensive post-processing software for airborne and mobile GNSS/INS LiDAR and imaging systems.
Precise GNSS processing software with support for loosely coupled INS integration.
MATLAB toolbox for designing, simulating, and implementing inertial sensor fusion algorithms.
Professional inertial motion capture software for biomechanical analysis and animation.
Suite of tools for configuring, calibrating, and analyzing VectorNav inertial navigation systems.
Data acquisition, logging, and visualization software for MicroStrain inertial sensors.
Robotics framework with extensive packages for IMU data processing and inertial navigation.
Open-source flight control software featuring advanced EKF-based inertial sensor fusion.
Versatile open-source autopilot software with robust IMU handling for drones and vehicles.
Inertial Explorer
enterpriseIndustry-leading GNSS/INS post-processing software for high-precision positioning and orientation.
Proprietary multi-pass processing engine that iteratively refines trajectories for optimal accuracy across diverse sensor inputs
Inertial Explorer, developed by NovAtel (Hexagon), is a premier post-processing software for integrating GNSS, inertial measurement units (IMUs), and auxiliary sensors like odometers and dual antennas to deliver centimeter-level positioning accuracy. It excels in challenging environments where GNSS signals are degraded, using advanced loosely-coupled and tightly-coupled Kalman filter algorithms for optimal trajectory solutions. The software supports multi-frequency GNSS constellations, PPP, RTK, and features like TerraFlex for processing large datasets from mobile mapping and surveying applications.
Pros
- Unmatched multi-sensor fusion capabilities with support for a wide range of IMUs and GNSS receivers
- Superior accuracy in GNSS-denied environments through advanced processing algorithms
- Comprehensive visualization tools and export options for professional workflows
Cons
- Steep learning curve for users new to inertial processing
- High computational requirements for processing large datasets
- Pricing is premium and not transparent without contacting sales
Best For
Professional geodesists, surveyors, and autonomous systems engineers needing the highest precision post-processed inertial navigation solutions.
Pricing
Custom enterprise licensing; typically starts at $5,000+ USD per seat with options for perpetual or subscription models.
POSPac MMS
enterpriseComprehensive post-processing software for airborne and mobile GNSS/INS LiDAR and imaging systems.
IN-Fusion multi-pass engine for optimal trajectory smoothing and outlier rejection in GNSS-challenged environments
POSPac MMS from Applanix is a professional post-processing software suite designed for GNSS-inertial (GNSS/INS) systems, computing highly accurate trajectories, positions, velocities, and orientations from raw IMU and GNSS data. It supports applications in mobile mapping, airborne LiDAR, photogrammetry, and UAV surveying by delivering direct georeferencing solutions with centimeter-level precision. The software employs advanced Kalman filtering and multi-pass optimization to handle challenging environments like GNSS-denied areas.
Pros
- Exceptional accuracy with multi-pass GNSS/INS processing achieving sub-centimeter results
- Wide compatibility with various IMUs, GNSS receivers, and platforms (airborne, mobile, UAV)
- Robust tools for quality control, SBET export, and integration with third-party software
Cons
- Steep learning curve due to complex workflows and parameter tuning
- High licensing costs suitable only for professional use
- Performance dependent on input data quality and hardware setup
Best For
Geospatial professionals and surveying teams needing precise post-processed inertial trajectories for high-stakes mapping and LiDAR projects.
Pricing
Perpetual or subscription licenses; pricing starts at approximately $10,000+ USD, contact Applanix for quotes.
GrafNav
enterprisePrecise GNSS processing software with support for loosely coupled INS integration.
Optimal+ multi-pass processing that iteratively refines trajectories by combining forward and backward GNSS/INS solutions for superior accuracy.
GrafNav, developed by NovAtel (Hexagon), is a professional post-processing software suite designed for high-precision trajectory computation by integrating GNSS and inertial measurement unit (IMU) data. It excels in loosely and tightly coupled GNSS/INS processing, supporting differential GNSS, precise point positioning (PPP), and multi-pass optimization for centimeter-level accuracy. Ideal for applications in surveying, mapping, and autonomous systems, it handles diverse sensor inputs and provides tools for quality control and error analysis.
Pros
- Exceptional accuracy through forward/backward multi-pass processing (Optimal+ mode)
- Broad compatibility with various GNSS receivers and IMUs
- Advanced quality assurance tools like ambiguity resolution and DOP plots
Cons
- Steep learning curve for non-experts due to complex workflows
- Post-processing only; no real-time capabilities
- High cost with perpetual licenses starting around $5,000+ USD
Best For
Professional geospatial engineers and researchers requiring ultra-precise post-mission inertial trajectories for surveying or UAV mapping.
Pricing
Commercial perpetual license ~$5,000-$15,000 USD depending on modules; annual maintenance ~20%; contact vendor for quotes.
Sensor Fusion and Tracking Toolbox
enterpriseMATLAB toolbox for designing, simulating, and implementing inertial sensor fusion algorithms.
Drag-and-drop INS and Aiding Fusion apps for rapid design, tuning, and simulation of inertial navigation systems without custom coding
The Sensor Fusion and Tracking Toolbox from MathWorks is a MATLAB-based toolbox designed for developing, simulating, and deploying algorithms that fuse data from inertial sensors like IMUs, GPS, cameras, and radars for accurate state estimation and tracking. It provides prebuilt blocks and apps for implementing Kalman filters, particle filters, INS algorithms, and multi-object tracking in applications such as autonomous navigation and robotics. Integrated with Simulink, it supports rapid prototyping, visualization, and C/C++ code generation for embedded systems.
Pros
- Comprehensive suite of inertial fusion algorithms including loosely/tightly coupled INS and EKF/UKF implementations
- Interactive apps for quick prototyping and simulation of sensor fusion pipelines
- Seamless MATLAB/Simulink integration with code generation for real-time deployment
Cons
- Requires expensive MATLAB license, not cost-effective for small teams or non-MATLAB users
- Steep learning curve for those unfamiliar with MATLAB/Simulink environment
- Less flexible for integration outside MathWorks ecosystem compared to open-source alternatives
Best For
MATLAB-proficient engineers and researchers in aerospace, automotive, or robotics needing advanced multi-sensor inertial fusion for navigation and tracking.
Pricing
Bundled with MATLAB licenses; academic perpetual ~$500 + $215/year maintenance per toolbox, commercial individual annual ~$2,150 for MATLAB + $1,100+ per toolbox.
MVN Analyze
specializedProfessional inertial motion capture software for biomechanical analysis and animation.
MVN IK solver for real-time, full-body kinematics reconstruction from IMUs with minimal drift
MVN Analyze from Xsens is a professional-grade software designed for capturing, processing, and analyzing full-body motion data using inertial measurement units (IMUs). It provides real-time visualization, biomechanical reporting, and export options for animation, research, and ergonomics applications without requiring cameras or optical setups. The tool excels in portable, markerless motion tracking for dynamic environments like sports and virtual production.
Pros
- Highly accurate drift-compensated inertial motion capture
- Comprehensive biomechanics analysis and reporting tools
- Seamless integration with Xsens hardware for real-time use
Cons
- Steep learning curve for advanced features
- Tied to expensive Xsens hardware ecosystem
- Limited customization compared to open-source alternatives
Best For
Biomechanics researchers and motion capture professionals needing reliable, portable full-body tracking in field or lab settings.
Pricing
Included with Xsens MVN hardware (starting at ~$5,000 for kits); standalone licenses ~$2,500/year for enterprises.
VectorNav Software Suite
specializedSuite of tools for configuring, calibrating, and analyzing VectorNav inertial navigation systems.
KalFilter SDK with real-time Extended Kalman Filter for superior INS/GPS fusion performance
VectorNav Software Suite is a comprehensive toolkit designed for interfacing, configuring, and processing data from VectorNav's inertial measurement units (IMUs), attitude and heading reference systems (AHRS), and inertial navigation systems (INS). It includes the user-friendly Sensor Explorer GUI for real-time monitoring, calibration, and logging, alongside SDKs in C/C++, Python, MATLAB, and ROS for custom application development. The suite excels in sensor fusion via the KalFilter library, enabling high-precision attitude estimation, GPS/INS integration, and real-time navigation for demanding applications.
Pros
- Robust SDKs with multi-language support for seamless integration
- Advanced KalFilter for optimized INS/GPS sensor fusion
- Intuitive Sensor Explorer GUI with 3D visualization and calibration tools
Cons
- Primarily optimized for VectorNav hardware, limiting standalone flexibility
- Steep learning curve for advanced fusion and customization
- Limited built-in support for non-VectorNav sensors
Best For
Developers and engineers building high-precision inertial navigation systems for UAVs, robotics, and autonomous vehicles using VectorNav sensors.
Pricing
Free SDKs and tools available for download; full suite included with VectorNav hardware purchases starting at ~$1,000.
SensorConnect
specializedData acquisition, logging, and visualization software for MicroStrain inertial sensors.
Integrated wireless sensor networking for synchronized, low-latency data from distributed inertial nodes
SensorConnect is a free desktop application from MicroStrain (HBK) designed for configuring, streaming, and visualizing data from their inertial sensors, including IMUs, AHRS, and GNSS/INS systems. It provides real-time graphing of sensor outputs like attitude, position, velocity, and vibration data, along with logging capabilities for post-processing. The software supports wireless sensor networks, firmware updates, and integration with tools like ROS and Python APIs, making it a complete solution for MicroStrain hardware users.
Pros
- Excellent real-time visualization and data logging for inertial outputs
- Supports wireless synchronization of multiple sensors
- Free with hardware and includes ROS/Python integration
Cons
- Limited compatibility outside MicroStrain ecosystem
- Interface appears dated and can feel clunky
- Initial setup and wireless pairing has a learning curve
Best For
Engineers and researchers using MicroStrain inertial sensors for real-time data acquisition and monitoring in applications like robotics or UAVs.
Pricing
Free software bundled with compatible MicroStrain hardware purchases.
ROS 2
otherRobotics framework with extensive packages for IMU data processing and inertial navigation.
robot_localization package for multi-sensor EKF/UKF fusion including IMU data
ROS 2 (Robot Operating System 2) is an open-source middleware framework for robotics development, providing robust tools for handling inertial measurement unit (IMU) data and sensor fusion in autonomous systems. It supports inertial navigation through packages like robot_localization for extended Kalman filter (EKF) and unscented Kalman filter (UKF) integration of IMU with GPS, odometry, and visual sensors. This enables precise state estimation for robots, drones, and vehicles in dynamic environments.
Pros
- Extensive ecosystem of IMU-specific packages for filtering, calibration, and fusion
- Real-time communication via DDS middleware for distributed inertial systems
- Highly modular and extensible for custom inertial navigation pipelines
Cons
- Steep learning curve due to complex architecture and build dependencies
- Overkill and resource-heavy for standalone IMU applications
- Fragmented documentation across community packages
Best For
Robotics engineers developing multi-sensor autonomous systems requiring advanced inertial fusion.
Pricing
Completely free and open-source under Apache 2.0 license.
PX4 Autopilot
otherOpen-source flight control software featuring advanced EKF-based inertial sensor fusion.
Sophisticated multi-sensor Kalman filter (EKF2) optimized for real-time inertial navigation with support for vision-aided and wind estimation
PX4 Autopilot is a professional-grade, open-source flight control software stack designed for drones, rovers, and fixed-wing vehicles, emphasizing precise inertial navigation and stabilization. It leverages advanced sensor fusion algorithms like EKF2 to integrate IMU data with GPS, barometers, and optical flow for robust attitude estimation and control. Widely adopted in research, commercial, and hobbyist applications, it supports real-time operation on embedded hardware.
Pros
- Highly modular architecture with extensive hardware and sensor support
- Advanced inertial sensor fusion (EKF2) for reliable navigation in GPS-denied environments
- Large community and comprehensive documentation for development
Cons
- Steep learning curve for setup and tuning
- Requires technical expertise in embedded systems and C++ for customization
- Complex debugging of flight logs and estimators
Best For
Experienced developers, researchers, and UAV engineers needing customizable, high-precision inertial control software.
Pricing
Completely free and open-source under BSD-3-Clause license.
ArduPilot
otherVersatile open-source autopilot software with robust IMU handling for drones and vehicles.
Advanced Extended Kalman Filter (EKF3) for multi-sensor fusion, delivering robust inertial attitude and position estimation even in GPS-denied environments
ArduPilot is an open-source autopilot software suite designed for unmanned vehicles including drones, planes, rovers, and boats, providing advanced flight control through inertial navigation and sensor fusion. It processes data from IMUs, GPS, and other sensors to enable autonomous navigation, attitude estimation, and mission execution. Widely used in hobbyist and professional applications, it supports a vast array of hardware and offers extensive customization for inertial-based control systems.
Pros
- Highly customizable with support for numerous vehicle types and sensors
- Strong community and extensive documentation for inertial tuning
- Proven reliability in real-world inertial navigation applications
Cons
- Steep learning curve for setup and parameter tuning
- Requires compatible hardware and significant configuration effort
- Ground station software can feel dated compared to commercial alternatives
Best For
Experienced developers and UAV enthusiasts building custom inertial navigation systems on a budget.
Pricing
Completely free and open-source with no licensing costs.
Conclusion
The curated list of inertial software highlights a range of exceptional tools, with Inertial Explorer emerging as the top pick thanks to its industry-leading GNSS/INS post-processing for high-precision positioning. POSPac MMS shines as a versatile alternative, ideal for airborne and mobile systems requiring comprehensive processing, while GrafNav impresses with its strong GNSS capabilities and flexible INS integration. Each tool caters to distinct needs, yet Inertial Explorer remains the standout for critical applications.
Start with Inertial Explorer to leverage its industry-leading precision—whether for positioning, orientation, or post-processing, it offers unmatched performance. Explore the other top tools too, as they remain excellent options tailored to specific use cases.
Tools Reviewed
All tools were independently evaluated for this comparison
Referenced in the comparison table and product reviews above.