Active Project

Creating autonomous flight and machine learning solutions to enable self-piloted aircraft operations



aircraft scale factor

Our systems have flown on a wide range of aircraft, from small air taxis (Vahana eVTOL weighing 0.8 tons) to massive commercial aircraft (Airbus A350 weighing 315 tons) - equalling a scale factor of 400


world firsts

Project Wayfinder contributed to Airbus' Autonomous Taxi, Take-Off and Landing (ATTOL) project which acheived two world-firsts for the aviation industry in 2020: fully automatic vision-based takeoffs and landings

Wayfinder develops the core technologies that will enable self-flying planes

Project Wayfinder is building scalable, certifiable autonomy systems to power the next generation of aircraft applications throughout Airbus for the entire commercial aircraft ecosystem.

Our team of experts is driving the maturation of core technologies for autonomous flight. We are creating a reference architecture that includes hardware-software systems and a data-driven development process to allow aircraft to perceive and react to their environment.

Autonomous flight will democratize air travel

Our team is at the heart of this revolution. Our team is using onboard cameras, radar and lidar as sensors to accelerate this technological revolution.

  • Researching deep learning models
  • Scaling out data and compute infrastructure
  • Creating realistic simulations
  • Developing safety critical software and hardware
  • Flight testing experimental systems

Meet Team Wayfinder

We're building the future of autonomous flight, together. Each person on our team has a high degree of specialization where they are the authority.

Arne Stoschek

Project Executive, Wayfinder

Arne Stoschek

Project Executive, Wayfinder

Arne is passionate about robotics and autonomous electric vehicles. He has held engineering leadership positions at global companies such as Volkswagen/Audi and Infineon, and at aspiring Silicon Valley startups, namely Lucid Motors/Atieva, Knightscope and Better Place. Arne earned a Doctor of Philosophy in Electrical and Computer Engineering from the Technical University of Munich and held a computer vision and data analysis research position at Stanford University.

Check out our blog for more in-depth details about Wayfinder

Automatic Data Labeling Strategies for Vision-Based Machine Learning and AI

In the first of our four blog series on data labeling, we introduced the notion of data curation, the necessity of data labeling, and the importance of maintaining tight control…

Getting to Know Project Wayfinder Head of Infrastructure, Romain Komorn

How has your past experience as an educator influenced your approach working as the Head of Infrastructure at Wayfinder?

Project Wayfinder Wins 2020 AUVSI XCELLENCE Award for Its Outstanding Efforts Towards Creating Unmanned Systems

The Project Wayfinder team is no stranger to hard work. We’ve been working steadily over the summer to iterate and test our technology in Acubed’s newly developed Flight Test

Project Wayfinder Flight Test Campaign: We are off the ground!

Since the dawn of commercial aviation, each successive generation of aircraft has become increasingly automated. This automation, coupled with qualified pilots in the cockpit…

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