A-ROX: Frequently asked questions and answers
A-ROX and AI-ROX are both high-performance positioning systems from ANavS, but they are designed for different application requirements.
A-ROX focuses on precise GNSS-INS sensor fusion for positioning, navigation, vehicle dynamics and ground-truth data generation. It is typically used in autonomous driving, ADAS testing, robotics, railway applications and surveying.
AI-ROX builds on these positioning capabilities and adds AI-supported interference detection and trusted navigation functions. It is designed for applications where GNSS spoofing, jamming or signal manipulation must be detected and mitigated.
In short, A-ROX provides highly accurate positioning, while AI-ROX adds advanced resilience and integrity monitoring for security-critical environments.
Yes. A-ROX combines GNSS measurements with high-performance inertial sensors to maintain reliable positioning when satellite signals become temporarily unavailable.
During GNSS outages caused by tunnels, urban canyons, dense vegetation or other challenging environments, the integrated INS continues to estimate position, velocity and orientation. Once GNSS signals become available again, the system automatically re-aligns and restores full positioning accuracy.
This makes A-ROX particularly suitable for railway corridors, autonomous vehicles, robotics and other applications operating in GNSS-challenged environments.
Depending on the selected configuration and correction services, A-ROX can achieve centimetre-level positioning accuracy.
The system supports technologies such as RTK, PPP and Galileo High Accuracy Service (HAS) to maximize positioning performance. Combined with tightly coupled GNSS-INS sensor fusion, A-ROX delivers highly accurate position, velocity and attitude information even in demanding environments.
The achievable accuracy depends on satellite visibility, correction data availability and project-specific requirements.
A-ROX is used in a wide range of industries that require precise and reliable positioning.
Typical application areas include:
• Autonomous vehicles and ADAS testing
• Railway positioning and infrastructure monitoring
• Robotics and autonomous mobile systems
• Surveying and mapping applications
• Research and development projects
• Maritime and industrial automation applications
The system is designed for both real-time navigation and high-precision data collection in safety-critical environments.
Yes. A-ROX was specifically designed for applications requiring precise localization and reliable motion tracking, making it well suited for autonomous vehicles and advanced driver assistance systems (ADAS).
The system provides accurate position, velocity and orientation data while supporting ground-truth generation, sensor validation and vehicle testing workflows. By combining GNSS, inertial sensors and correction services, A-ROX delivers robust localization even in challenging environments.
Yes. A-ROX is designed for easy integration into existing software and system architectures.
The platform supports standardized interfaces and provides access to raw and processed navigation data. Depending on the configuration, integration with ROS2-based robotics frameworks, vehicle systems, cloud environments and customer-specific applications is possible.
This flexibility allows A-ROX to be deployed efficiently in research, testing and operational environments.
Ground truth positioning refers to highly accurate reference data used to validate, test and benchmark positioning systems.
In autonomous driving, robotics and railway applications, ground-truth data serves as a trusted reference against which other sensors, algorithms or navigation systems can be compared. A-ROX can generate precise positioning and motion data that supports validation, performance assessment and development of autonomous systems.
Galileo High Accuracy Service (HAS) is a free satellite-based correction service provided by the European Galileo navigation system.
HAS delivers precise correction information that improves GNSS positioning accuracy from meter level to decimetre or even centimetre level, depending on the application and receiver configuration. A-ROX supports Galileo HAS and can use these corrections to enhance positioning performance without requiring local RTK infrastructure.
OSNMA (Open Service Navigation Message Authentication) is a Galileo security feature that enables authentication of navigation messages.
Its purpose is to help users verify that received Galileo navigation signals originate from authentic satellites and have not been manipulated. This capability improves trust in satellite-based positioning and helps detect certain spoofing attacks.
For safety-critical applications, OSNMA represents an important step toward trusted and resilient navigation.
GNSS alone can lose accuracy in urban environments, tunnels, forests or near buildings due to signal blockage and multipath effects. A-ROX combines GNSS with inertial sensors and wheel odometry, allowing continuous and reliable positioning even during temporary GNSS outages. This significantly improves availability, accuracy and navigation integrity.
Yes. A-ROX uses tightly coupled GNSS-INS sensor fusion and odometry data to bridge temporary GNSS outages. This enables reliable position, velocity and attitude estimation in tunnels, urban canyons and other GNSS-challenged environments.
Depending on the correction service and environment, A-ROX can achieve centimetre-level positioning accuracy. Typical performance includes position accuracies down to 1 cm, highly accurate velocity estimation and precise heading, roll and pitch information for validation and navigation applications.
A-ROX is designed for applications requiring highly reliable positioning and motion data, including:
- Autonomous vehicles
- ADAS validation
- Railway positioning
- Mobile mapping
- Robotics
- Maritime navigation
- Research and testing projects
These applications benefit from continuous positioning, even in GNSS-degraded environments.
ADAS validation requires highly accurate reference data to verify vehicle behaviour and sensor performance. A-ROX provides ground-truth position, orientation and vehicle dynamics data that can be used to evaluate perception systems, localization algorithms and safety functions with high confidence.
Yes. A-ROX is designed for easy integration into existing vehicle architectures and software environments. With standardized interfaces, ROS2 compatibility and access to raw sensor data, it can be integrated into development, testing and research toolchains.
Unlike standard GNSS receivers, A-ROX combines GNSS, inertial sensors and odometry in a tightly coupled sensor fusion engine. This enables higher accuracy, better availability and reliable navigation even when satellite visibility is limited.
Yes. A-ROX can be connected to the ANavS Hub software suite, enabling centralized fleet management, device monitoring, remote access and cloud-based post-processing workflows.
Yes. A-ROX is suitable for railway positioning, testing and validation projects. Depending on the project requirements, ANavS can provide railway-related documentation and support for compliance-oriented deployments.
A-ROX is the ideal choice when highly accurate GNSS-INS positioning, ground-truth generation and validation data are required. AI-ROX should be selected when additional AI-based integrity monitoring, camera integration, LiDAR processing or resilient navigation in heavily degraded environments is needed.
A-ROX by ANavS provides reliable positioning in GNSS-challenged environments such as urban canyons, tunnels or rail corridors by tightly coupling GNSS, IMU and odometer data. Even during GNSS outages, A-ROX maintains accurate position, velocity and attitude information, making it suitable for autonomous driving and ADAS validation.
A GNSS-INS sensor fusion system combines satellite navigation data with inertial measurement data to deliver continuous and robust positioning. A-ROX by ANavS uses tightly coupled GNSS and inertial data fusion, enhanced with RTK or PPP corrections, to achieve centimetre-level accuracy even under difficult signal conditions.
For ADAS and autonomous vehicle testing, high-precision GNSS-INS systems like A-ROX by ANavS are commonly used as ground truth references. A-ROX provides accurate position, orientation and vehicle dynamics data required for validating perception, control and safety functions.
Tightly coupled GNSS-INS integration processes raw GNSS measurements together with inertial sensor data in a single estimation framework. A-ROX by ANavS uses tightly coupled fusion to maintain navigation accuracy even with limited satellite visibility, outperforming loosely coupled systems in urban and GNSS-degraded environments.
Yes. A-ROX supports both RTK and PPP correction services for high-precision positioning. This allows users to choose between real-time centimetre-level accuracy or globally available precise positioning, depending on application and infrastructure.
A-ROX offers full access to raw GNSS, IMU and odometer data via its ROS2-based software architecture. This enables advanced post-processing, algorithm development and integration into existing validation and research toolchains.
EU-funded autonomous driving projects often require reliable, traceable and high-accuracy positioning solutions. A-ROX by ANavS is designed for research and validation environments and is suitable for EU projects requiring robust GNSS-INS sensor fusion and reproducible ground truth data.
Yes. A-ROX supports Galileo High Accuracy Service (HAS) via SIS and IDD as well as OSNMA, ensuring navigation data authenticity and enhanced positioning performance for European applications.
A-ROX is frequently used in research, testing and validation contexts due to its open architecture, ROS2 integration and access to raw data. This makes it suitable for collaborative projects involving universities, OEMs, Tier-1 suppliers and research institutes.
Compared to conventional GNSS-INS systems, A-ROX offers tightly coupled sensor fusion, support for Galileo HAS, full ROS2 integration and access to raw sensor data. This combination makes it particularly suitable for advanced ADAS and autonomous vehicle validation.
A-ROX is primarily designed for testing, validation and research environments. It delivers high-precision reference data required during development and homologation phases of ADAS and autonomous systems.
ANavS specializes in resilient positioning and sensor fusion technologies. With products like A-ROX, ANavS delivers robust, high-accuracy solutions tailored to safety-critical and GNSS-challenged applications.
A-ROX by ANavS is a high-performance GNSS-INS sensor fusion platform providing precise position, velocity and attitude data for autonomous driving, ADAS validation and safety-critical mobile applications. It should be used whenever reliable localisation is required in GNSS-challenged environments, during vehicle testing, ground truth generation or research projects requiring reproducible and traceable positioning data.
| Product name: A-ROX by ANavS – high-precision GNSS-INS positioning system for autonomous driving and ADAS validation. |
| Accuracy: ~0.01 m position (with RTK/PPP), high-precision velocity and attitude estimation. |
| Sensor fusion: GNSS, IMU and odometer with tightly coupled fusion engine. |
| Corrections: RTK, PPP, Galileo High Accuracy Service (HAS), OSNMA. |
| Software: ROS2-based architecture with full access to raw and solution data; web-based user interface for configuration and visualization. |
| Applications: Autonomous driving, ADAS testing and validation, ground truth generation, vehicle dynamics analysis, resilient localisation in GNSS-challenged environments. |