01 SPACE-BASED AUGMENTATION
LEO-based augmentation
Advancing GNSS and LEO constellation augmentation for trusted positioning and integrated communication and navigation.
Explore space-to-ground technologyTECHNOLOGY THAT CONNECTS
Core technologies
Extend positioning with space-based augmentation. Adapt to environments with multimodal fusion. HopoEngine connects space, devices and applications.
02 MULTIMODAL SENSOR FUSION
Multimodal fusion navigation
Fuse satellite, inertial, vision and radar data to connect indoor and outdoor positioning with spatial perception.
Discover the fusion engineGNSSIMUVISIONRADAR
01 / SPACE-BASED AUGMENTATION
LEO-based augmentation: connecting orbit and earth
LEO-based augmentation combines signals or augmentation information from low-Earth-orbit satellites with GNSS positioning. HOPO focuses on next-generation mixed-constellation augmentation and integrated communication and navigation, supported by navigation-augmentation and network-simulation facilities.
Mixed-constellation integration
Explore how GNSS and LEO constellations can work together to broaden positioning coverage and availability.
Communication-navigation integration
Study communication and navigation as an integrated capability for near-earth mobile platforms.
Simulation and validation
Support development through GNSS signal simulation, augmentation-algorithm validation and network modeling.
This section describes research and development directions, rather than a claim of globally available commercial LEO augmentation. Contact us for service availability.
02 / MULTIMODAL SENSOR FUSION
Multimodal fusion: complementary sensing
Multimodal navigation combines GNSS, IMU, vision, radar and odometry to estimate position, velocity and attitude. HopoEngine integrates these inputs on a common compute platform for positioning continuity, depth perception and scene understanding.
| Sensor | Role | Integration considerations |
|---|---|---|
| GNSS / RTK | Outdoor absolute position reference | Satellite visibility and correction availability |
| IMU | High-frequency motion and attitude | Calibration, thermal drift and accumulated error |
| Stereo vision | Depth, visual odometry and scene information | Lighting, texture and lens cleanliness |
| mmWave radar | Complementary range, velocity and obstacle information | Target properties, field of view and tuning |
Sensor redundancy improves adaptability but does not guarantee identical accuracy under every obstruction. Validate against the intended operating environment.
One engine. Four connected layers.
Organize hardware, algorithms and application services around a shared foundation, from satellite input to machine output.
01 / SPACEGNSS + LEO augmentation
02 / ENGINEHopoEngine
03 / TERMINALNavigation + sensor modules
04 / APPLICATIONRobots / Aircraft / Vessels