Spleenlab’s approach is to break down the vision of fully autonomous flight into its sub-steps and fully automate these individual processes using AI-based applications. One of the most critical phases of autonomous flight is landing, where a large number of variable factors play a role.

Sensors in vehicles are permanently calibrated from the factory and can become misaligned over time. With our AI-based VISIONAIRY® Online Calibration Software, we can detect this offset and permanently recalibrate the sensors in real time while driving, ensuring consistently high functionality & safety of all assistance systems.

How can fully automated locomotion be enabled in a cost-effective and safe manner while minimizing the use for sensor technology and the effort for data labeling? A new and groundbreaking approach is monocular depth estimation, which in combination with a deep learning approach can enable exactly this.