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Safe autonomous navigation and automated flight in critical scenarios where the GPS is lost.
Visual landing zone detection and highly automated safe precision landing for package delivery or emergency landing towards BVLOS (EASA/FAA).
Lightweight and safe solution to visually detect Air Traffic.
Single- & Multi-Object Tracking & Classification under heavy conditions (occlusions) with Geolocalisation for camera Gimbals or automated Flights.
Realtime Obstacle Detection up to 100 meters for BVLOS, Delivery, Mapping, GPS-denied operation and fully autonomous flights and navigation.
Fully automated Inspections of windmills, cell towers and critical infrastructure.
Self-Supervised Training at Large Scale and therefore designed for Domain Adaptation
LIDAR based SLAM (Top) & Semantic Scene Parsing on Point Clouds (Down)
Modern AI technologies, e.g. neural networks, are very powerful due to their fundamental approach of processing massive data in parallel. This statistical property has led to the fact that no AI approach has yet been approved for highly safety-critical systems such as: A – BVLOS Drones, B – Automated Road Vehicles and C – Automated Manned Aircrafts. Since their regulatory requirements like A – SORA, B – ISO26262 / SOTIF or C – DO178 demand high determinism within the process regulation.
At Spleenlab, we have developed a new approach that for the first time allows perceptual AI to be approved in such fields. Our unique technology is based on four key concepts that are incorporated in the development of all our products: