Enabling 3D Vision Second to none in AI powered computer vision

We think computer vision differently. Artisense enables dynamic 3D mapping and localization in real time without relying on GPS. It outperforms other technologies in precision, robustness and efficiency.

    Accurate Cloud Robotics

    Our globally leading research and engineering team has advanced visual SLAM (Simultaneous Localization and Mapping) and VIO (Visual Inertial Odometry) technology to enable scalable dynamic 3D mapping and localization in real time, with or without GNSS (Global Navigation Satellite System). Our solution is more precise and robust than any other computer vision technology available today—and we can prove it.

    Autonomous Geospatial Intelligence

    Artisense PNT (Position, Navigation and Timing) solution enables reliable 6-DoF localization for mission critical automated systems under a variety of conditions. Artisense SLAM-augmented Geospatial Localization performs robust even when other solutions reach their limits, e.g. due to unreliable GNSS signals in urban canyons or under LiDAR- and Radar-denied conditions. Mapping and localization happen in real time on the edge, whereas significantly reduced 3D sensor data is consolidated in the cloud-based Geospatial Intelligence Platform™ updating and "healing" the Global Dynamic 3D Map. By crowdsourcing 3D data from hundreds of thousands of cameras and other sensors connected to the platform, the collaborative machine learning potential increases massively.

    Applicable Embedded Vision

    Artisense brings computer vision to every mobile robot and vehicle. We offer a low-energy commercial off-the-shelf (COTS) embedded computer vision engine that requires a fraction of the power of other computing platforms. Backed by our cloud-based deep learning algorithms, any industrial or automotive camera turns into a precise mapping engine, that can be operated alone or in combination with other sensors, to enable autonomous navigation for robots and cars in any space.

“Let’s move autonomy forward.”

⸻ Prof. Dr. Daniel Cremers.

Chief Scientific Officer

Use cases Moving technology

Powered by cloud-based deep learning and computer vision algorithms, the Artisense Geospatial Intelligence Platform™ fuses dynamic global 3D maps from crowdsourced local map data generated by any available sensor, whether it is a low-cost automotive camera or a high performance LiDAR device.

Artisense focuses on developing tools that enhance and assure the positioning performance of GNSS-based positioning solutions, using Visual Inertial Odometry (VIO), Dynamic Vision Sensing (DVS), Synthetic Aperture Radar (SAR), Light Detection And Ranging (LiDAR) and Satellite Altimetry (SA) for localization and PNT (Positioning, Navigation and Timing) applications.

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    Dynamic 3D Mapping and Localization
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    Autonomous Vehicles and Robotics
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    Data Analytics and Predictive Modelling