LoLaS & Veronte autopilot integration to secure precise landings

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The integration of LoLaS (Local Landing System) with the Veronte Autopilot 1X has been a complete success. In order to support precise and safe drone operations, Internest provides LoLaS, a redundant and dissimilar positioning technology based on ultrasound and UWB. Embention, the leading supplier of autopilots and critical components for drones and UAM, has closely worked with Internest team for the successful integration of LoLaS and Veronte Autopilot 1x, ensuring safe and precise autonomous landing, even in moving platforms.

LoLaS and Veronte Autopilot 1x

LoLaS is an embedded system based on hardware components and firmware. Thanks to the fusion of multiple technologies, LoLaS provides accurate and reliable positioning information no matter the visibility, the weather or the environment.

Veronte Autopilot 1X is a miniaturized high-reliability avionic system designed for advanced control of drones and unmanned vehicles. Developed in compliance with DO178C & DO254, Veronte Autopilot 1X embeds a state-of-the-art suite of sensors and processors for enabling fully autonomous flight for all kinds of drones. “Internest solution has been tested on various platforms and in complex environment: at night, windy situation up to 35 knots, on moving platforms” said Internest CEO Nicolas Sczaniecki. “Embention integration has been able to catch the full potential of Internest positioning system, allowing precision autonomous landings.”

LoLaS can be used in three different modes with the Veronte Autopilot:

· Navigation Mode: A variable weight for LoLaS sensor input is defined within the Kalman filter. It corrects the GPS position or replaces it completely, enabling safe GNSS-denied autonomous landing.
· Guidance Mode: LoLaS sensor indicates the relative position between the base and the onboard device, providing the position of the desired waypoint with high accuracy.
· Mix Mode: A combination of both navigation and guidance can be configured for enhanced performance.

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