Active Project

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



aircraft scale factor

Our systems are 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

Two world firsts

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 the Wayfinders

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

Manual Data Labeling for Vision-Based Machine Learning and AI

Project Wayfinder's perception and decision-making software—aimed at enabling autonomous flight—heavily relies on vision-based machine learning (ML) algorithms, which require

The Role of Data Curation and Data Labeling in Vision-Based Machine Learning and AI

While current commercial aircraft already have a high degree of automation, with autopilots that can fly without pilots actively controlling it, additional autonomous systems

Closed Loop Autonomous Flight Milestone [VIDEO]

It’s no surprise that amazing achievements are reached when teams work together. This has never been more true than in the case of the incredible milestone recently achieved by…

Getting to know Wayfinder Senior Software Engineer, Jim Vaughan

“We’re really pushing the envelope with autonomous vehicles…the possibility and that element of uncertainty that comes with self-flying planes, makes the work that much more

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