Full Ecosystem for Drone Navigation and Missions Development Tools
Digital twin and special sensors, for drone missions, non-GNSS navigation, obstacles detection, warning, and auto-rerouting.
Digital twin and special sensors, for drone missions, non-GNSS navigation, obstacles detection, warning, and auto-rerouting.
Day/Night vision for 24/7 mission management.
All weather sensors. Optical Navigation sensors.
Sensors for obstacle detect and avoid.
Development of tailor-made sensors for special customers needs.
GNSS might be jammed or interfered.
The current solutions in the market are focused on high-altitudes but cannot be utilized for drones especially when medium or low altitude missions are required.
Multi drones route planning.
Full control of 3D routes plan and visualization.
Manual planning, automatic tools for planning.
Safety checks. Regulation checks.
Swarms mission planning, route planning, case planning and responses, and mission control.
Distribution of tasks between various drones and drone kinds.
The modern customer's expectation is that packages will arrive on their doorstep.
This includes a description that is not only a street name and house number, but a verbal description of the entrance of the right building.
Urban life, both in normal times and in crisis situations, requires a special understanding of the surroundings: normal buildings, damaged buildings or infrastructure, movement of vehicles or people, and the need is to detect and track events or people, to solve a specific problem.
The digital twin is the beating heart of our ecosystem. Gradual improvements in all aspects of system performance - navigation or any other mission - is only possible by making 80% of the training on a detailed digital world.
This is also a great ecosystem for agents training, including LLM and VLM.
Navigation and control of a drone in an urban scenario, requires specials sensors of many kinds (multi-modality) but there is still a need to properly fuse the information between them, as well as to make different types of decisions. The best way to achieve this is to train on a digital twin, using many types of scenarios.
Explainable behavior is the basis for an operator's trust in the system. We use our digital twin both for training the operators on how to plan missions for drones and swarms, and on how to explore and analyze its behavior to the point they feel confidence.
This is also the place to make QA and Safety checks, as well as to test the VLM and the agents.
A eye in the Sky
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