Internest manufactures the LoLas system, a local positioning technology that combines ultrasonic, radio, and vision ToF sensors to provide centimeter-level accuracy for drone landings in complex environments. This solution addresses the critical risk of positioning sensor failure during autonomous drone takeoff and landing phases, ensuring reliable operations regardless of weather or visibility conditions.
Funding
Funding not disclosed
Founders
Product
Problem
Autonomous drones increasingly rely on precise positioning during takeoff and landing, yet are vulnerable to sensor failures, especially in challenging weather or environments. Dependence on single or limited positioning sensors creates a critical risk during these phases of flight.
Solution
Internest's LoLas system provides a robust and precise local positioning solution to secure drone landings in complex environments. LoLas functions as a relative GPS, delivering centimeter-level accuracy within a 150m radius of the landing platform, independent of GNSS. The system utilizes a patented fusion of ultrasonic, radio, and vision Time-of-Flight (ToF) sensors to ensure reliable operation regardless of weather or visibility conditions. This redundancy mitigates the risk of sensor failure, enabling fully automatic approaches, take-offs, and landings.
Target Audience
The primary customers are drone manufacturers and operators in sectors such as drone box solutions, maritime operations on vessels and moving platforms, and military applications requiring reliable autonomous landings.
Features
- Local positioning system for high-precision, fully automatic drone operations.
- GNSS-independent technology ensuring operation in all weather and visibility conditions.
- Redundant architecture with two sensors on the drone and four on the ground.
- Dissimilar sensor fusion: ultrasonic, radio, and vision ToF.