A-ROX: Frequently asked questions and answers
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. |