Technology

Autonomy engineered for unstructured environments

Agricultural machinery operating across a large field

Precision navigation and integrated control

Centimeter-level navigation and machine control

We combine high-precision positioning, path control, and machine-specific interfaces so vehicles and equipment can follow planned routes accurately and execute work reliably.

RTK-INS precision localization

RTK-INS precision localization

RTK-GNSS and inertial sensors are fused to estimate position, attitude, and direction at centimeter level while maintaining continuity as satellite reception changes.

Path planning and driving control

Path planning & driving control

Routes are generated from work areas, traversable regions, and the operating characteristics of each vehicle and implement.

Integrated vehicle and implement control

Integrated vehicle & implement control

Steering and autonomy-mode switching are supported by default, with speed, stop, and implement control extended where compatible.

Multi-sensor localization and perception

Combining sensors to understand motion and surroundings

RTK-GNSS, inertial sensing, vehicle-state data, cameras, and LiDAR complement one another to continuously estimate vehicle motion and perceive the environment.

Continuous localization

Continuous localization

When satellite signals weaken, visual and LiDAR odometry estimate relative motion to maintain continuity.

Environmental perception

Environmental perception

Cameras and LiDAR identify traversable space, obstacles, terrain changes, and work targets.

Confidence-aware sensor fusion

Confidence-aware sensor fusion

When a sensor becomes unreliable or produces outliers, trusted inputs receive greater weight to preserve localization and perception continuity.

Field edge AI

Local decisions and control even with unreliable connectivity

Camera, LiDAR, and vehicle data are processed on the machine so driving and work decisions do not depend on a cloud connection.

Real-time edge inference

Real-time edge inference

Video and sensor data are analyzed on site to identify obstacles, environmental changes, and vehicle state in real time.

Offline-first operation

Offline-first operation

Core autonomy and machine-control functions remain available when the network is unstable or disconnected.

Work-data recording and synchronization

Work-data recording & sync

Vehicle routes, work status, and execution results are recorded together with location data.