AEROINTEL develops visual positioning modules that enable autonomous UAV operations when GNSS signals are unavailable. Their technology ensures reliable navigation for small to large drones in GPS-denied environments. This capability supports critical applications such as search and rescue, border security, and environmental monitoring.
Funding
Funding not disclosed
Founders
Product
Problem
Autonomous drones and robots often struggle to navigate effectively in environments where GNSS (Global Navigation Satellite System) signals are unavailable or unreliable, such as indoors, in urban canyons, or in areas with intentional jamming. This limitation restricts their use in critical applications like search and rescue, infrastructure inspection, and military operations.
Solution
AeroIntel provides AI-powered navigation solutions that enable autonomous drones and robots to operate reliably in GNSS-denied environments. Their core technology leverages visual navigation and sensor fusion techniques to achieve precise localization without relying on GPS. AeroIntel offers both a fully autonomous drone (SKYFALL) and a standalone navigation module (PATHFINDER) that can be integrated into existing drone platforms. These solutions facilitate autonomous operations in challenging environments, expanding the capabilities of drones and robots across various industries.
Target Audience
AeroIntel's primary customers include military organizations, search and rescue teams, and companies involved in infrastructure inspection and surveillance, as well as drone manufacturers.
Features
- Visual navigation algorithms for robust localization in GNSS-denied areas
- Sensor fusion technology combining data from multiple sensors (e.g., cameras, IMUs, LiDAR) for enhanced accuracy
- PATHFINDER navigation module compatible with a wide range of drone platforms
- SKYFALL, a fully autonomous single-use drone
- Real-time path planning and obstacle avoidance capabilities
- Autonomous take-off, landing, and waypoint navigation