Effortless navigation and 3D mapping anywhere

GIM's technology enables accurate and low-cost navigation for autonomous and manually driven vehicles.

Large and accurate maps daily

GIM is developing smart sensor fusion software for navigation and 3D mapping. The system is integrated to existing vehicles, including work machines and cars. It can also be attached to GIM's robots, enabling completely autonomous data gathering. These are some of the advantages of our tecnology:

  • Low cost
  • Large area coverage
  • Real-time results
  • Applicable to various environments

Our navigation technology is based on observing the natural environment, so artificial infrastructure is not needed. In cases where high precision is needed, additional sensors such as RTK-GPS can be included.

Use cases

GimNavi is always customized for customer's application. Examples of various use cases include:

  • Autonomous navigation in industrial areas
  • Off-road vehicle localization
  • Daily construction site progress monitoring
  • Change detection

GimNavi is a combination of software and sensors that are customized to suit your application. We can use existing sensors in your vehicle or provide a complete package.

Please contact us for pricing and demos.

Unique navigation and sensor fusion technology

The core technology used in GimNavi is based on our staff's world-class research on the following topics:

First, our CEO Jari Saarinen has been one of the pioneers in the field of 3D mapping for mobile robotics. He has developed and published multiple significant findings related to 3D SLAM based on Normal Distributions Transform (NDT) and has shown the superior computational cost and accuracy versus traditional methods. Currently, this research allows us to build large maps quickly and position robots within those maps with a centimeter accuracy.

The technology allows fast and accurate positioning with respect to the surrounding map. Above, a robot's position is visualized as green dots in the NDT map.

Second, we master sensor fusion for localization. With the help of our propiertary sensor data filter, we are able to combine positioning information from various sources into one more accurate estimate, using e.g. GPS, RTK, LIDAR, IMU, wheel odometry or UWB beacons. The advantage is that we will be able to reliably estimate position even during the time when GPS or some of the other sources provide unreliable data. It gives us a significant advantage in cases where the surroundings are unknown and dynamic.

EIT RawMaterials
Activity funded by the EU

Specifications in a LIDAR-based solution

  • Range: 150 m
  • Mapping accuracy: 5 cm
  • Mapping velocity: 0 - 2 m/s
  • Mapping area: unlimited
  • Mapping update interval: < 10 s
  • Mapping output: point cloud and mesh
  • Position accuracy w.r.t. map: ± 2 cm
  • Position update interval: 100 Hz
  • Position output: ROS-compatible odometry, NMEA