Autonomous flight control for the electric personal aircraft of the near future

ABOUT

Daedalean is a Zürich-based startup, and our mission is to build a certified airworthy autopilot that can also pass the exams for human pilots.

The Opportunity

After more than a century of powered aviation the navigation, guidance and control of aircraft is still a very manual affair, with many functions relying directly on the human pilot. This presents a technical hurdle to expanding the economic applications of flight. It is bound to become a more pressing problem with more than 100 companies trying to bring small (mostly electric) VTOL aircraft ("flying cars") through certification and to market. Replacing the human in the loop with modern robotic systems will become a crucial enabler for whole new markets in aviation and urban transport.

The Challenge

Safety is tightly regulated in aviation and rightly so because it has made flying one of the safer means of transportation. Yet these regulations and the built-in desire for proven solutions also present a barrier to the adoption of new technology. There is no incremental path from uncertified UAV control to certification for personal transport (DAL-A), nor one from current DAL-A level avionics to full autonomy. To justify the absence of a human pilot we need to build a system that is sufficiently deterministic to pass certification, yet can deal with unexpected situations.

The Innovation

Relying on our expertise in robotics, computer vision and machine learning, as well as a thorough foundation in classical systems engineering, avionics and piloting, we have set out to build guidance navigation and control systems that replace and outperform the human pilot on every measurable scale. To autonomously fly in VFR, without relying on extra rules or infrastructure, requires that navigation, guidance and collision avoidance are able to use visual information first and last, alongside other instruments currently available in the cockpit. Our visual systems provide situational awareness and semantic understanding to safely guide any "flying car" from take-off to landing.

TEAM

Luuk van Dijk, Founder and CEO

PhD in Physics (UvA, RuG). Google (Gmail, Maps, Go), SpaceX (flight software).

Anna Chernova, Co-founder and CPO

BSc in Physics (СПбГУ), mathematical biology (Univ. of Oxford) and bioinformatics (NIMR MRC). Google (Maps). PPL(A) student (30 hrs), PPL(H) license holder (270 hrs).

Andrea Schlapbach, CCO

MSc in Physics/Chemistry (ETHZ). Swiss Re, SIX Group, Hexagon/Leica Geosystems, FLARM (co-founder), SAFEmine COO/CFO (co-founder). EASA LAPL/SPL/FI(S) (over 2000 hrs), UAV expert.

Thomas Kindler, Legal

Dr. jur. (Bern, Switzerland), LL.M. (Georgetown, Washington DC). Legal counsel for siroop AG.

Matthias Kraft, Computer Vision

PhD in Physics, plasmonic systems (Imperial College London). Imperial College London Mathematics department (MCMC samplers and application to machine learning).

David Haber, Deep Learning

MEng Computer Science (Imperial College London). Cognitir (co-founder), Soma Analytics (machine learning/software engineer).

Philipp Krüsi, Computer Vision

PhD in Robotics (Autonomous Systems Lab, ETH Zürich). Carnegie Mellon University, Hilti, Porsche.

Alexey Gronskiy, Deep Learning

PhD in Machine Learning (Statistical Learning Theory, ETH Zurich), MSc/BSc in Mathematics (Moscow SU). Google Research (SWE intern), ABBYY (SWE). EASA PPL(A) pilot with 100+ hrs.

Alexandru Băluț, Devtools

BSc Computer Science (Transilvania University). Google, Triposo, Pitivi.

Pascal Van Cleeff, Deep Learning

PhD in Applied Mathematics (Combinatorial Optimization applied to Chip Design, University of Bonn, IBM), MASt Mathematics (University of Cambridge), BSc Physics (University of Bonn).

Bas Vermeulen, Platforms (Consultant)

BSc Laboratory Informatics & Automation (Hogeschool West-Brabant, Etten-Leur). Nokia, Novero, Laird.

Boris Videnov, Systems

MEng Mechanical Engineering (Imperial College London). Rolls-Royce plc (graduate scheme, Development Engineer - civil jet engines), Omnilid (co-founder).

Tatiana Yusupova, Autonomous Flight

PhD in Mathematics (Number Theory, University of York), Basics of Information Security (Moscow State University). Worldpay UK (Software Engineer and Team Security Champion). EASA PPL(A) license holder with SEP type and night rating (140 hrs in Cessna 172).

Armin Burgmeier, Simulation and Integration

PhD in Physics (KIT). DESY (Higgs Search at CMS), Bloomberg. FAA PPL(H) student (100 hrs in Robinson R44 II).

Corentin Perret-Gentil, Deep Learning

PhD in Mathematics (ETH Zürich), Mathematical Sciences Research Institute (Berkeley, CA), Centre de recherches Mathématiques (Montréal).

Zoltan Pillio, Computer Vision

MSc in chemistry (SZTE). Aero Glass (software engineer).

Harleen Hanspal, Systems (Intern)

Pursuing M.Sc. in Robotics, Systems and Controls (ETH), B.Tech in Electrical (IIT Bhubaneswar).

Łukasz Janyst, Autonomous Flight

MSc in Computer Science (Jagiellonian University). Institute of Nuclear Physics PAN (ATLAS experiment at LHC), CERN (Compilers, Massive Data Handling Systems).

Emmanuel Mogenet, Research

DEA/MS Computer Science. Google (Sr.Eng. Mgr, Head of Research), Apple (Sr. Scientist), Sony Pictures.

Ruben Polak, Deep Learning

MSc in Artificial Intelligence (University of Amsterdam), BASc in Aviation Engineering (University of Applied Sciences, Amsterdam). Aiir Innovations (Computer Vision Engineering, Sales), AerData (Technical Consultant).

Sasha Tsvyashchenko, Autonomous Flight

MSc Computer Science (Kyiv National University), Materialise (CAD / 3D printing), Automated Industrial Machinery Inc (CAD / CAM), Google (applied ML for YouTube / Ads /..., ad fraud detection).

Janet Darling, Operations

B.Sc.(Hon). Business Links (Consulting, Ops), IBM (Fin. consulting, Bus. transformation, Project management), CitiGroup (Process optimisation, TQM, SixSigma), iDarling GmbH (Process consulting), ClearSight (Fund of Fund ops), PALA (Mining investment, Ops, HR and IT), Agys (Fintech, Bus. Automation, Market Dev).

Karol Rychwalski, Recruitment

MA in Sociology (Warsaw University of Life Sciences). Roche, Toolbox for HR (cooperating with various tech start-ups).

Grigory Yakushev, Simulation & Modelling

MSc in CS (МГУ), Eagle Dynamics, Google (Calendar, Search), Mediahead, NVidia (Gameworks).

Theo, Emotional Support Animal

Italian sheep dog, anti cat and squirrel defense.

Peter de Lange, Simulation & Modelling

Msc in Mechanical Engineering (TU Delft), Pilatus Aircraft (simulation), Moog Inc. (haptics).

Christian Robertz, System Integration

MSc Aerospace Engineering (TU Berlin, TU Braunschweig). UMS Skeldar (Flight Control, Autopilot). DLR, Lufthansa Technik, Volkswagen.

Louis Schreuder, Flight Technician

BTEC & Advanced Apprenticeship in Engineering. Senior Aircraft Maintenance Technician, twin turbine helicopter specialist, fixed-wing and UAV exposure. PPL(A) with 200+ hrs, IMC and night rating & PPL(H) with 120 hrs. Quadcopter hobbyist.

Olga Sternik, Marketing

MSc in Applied Math (Moscow Aviation Institute). Sterno.Ru (internet marketing agency – founder & CEO), BrandSpotter (social media listening tool with ML-based sentiment analysis – founder & CEO)

Iljya Kalai, Autonomous Navigation

BMath Pure Math / Combinatorics & Optimization (UWaterloo). Google (Maps).

Martin Beeby, Avionics Certification Coordinator

BSs Engineering Science (Mechanical) (Warwick, UK), Systems, Software and Hardware Certification (FAA/EASA/CAAC) with Rolls-Royce, Mentor Graphics, Seaweed Systems, HighRely, CETCA.

Döme Geszler, Data Engineer

BSc in Mathematics (BME, Budapest), MTA SZTAKI (SWE @ Data mining and Search Group), Prezi (Data platform, ETL), Monster Code (Data Consulting).

Daniel Danciu, Software Engineering (Advisor)

PhD Artificial Intelligence (Babeș-Bolyai University). Google (Shopping, Flights), YouTube (Live, Cast, API).

Thomas Hofmann, Machine Learning (Advisor)

PhD Computer Science, Postdoctoral Fellow (MIT and UC Berkeley), Ass Prof Computer Science (Brown Uni.), Co-founder / Chief Scientist for OpenText, Prof Computer Science (Uni Darmstadt), Dir Fraunhofer IPSI, Dir Eng and co-site Lead (Google ZH), Prof Data Analytics (ETH), Co-founder / CTO 1plusX, Co-director Max Planck-ETH Center for Learning Systems.

Reza Madjidi - Avionics Certification (Advisor)

BSc Computer Science & MBA in Technology Management. ConsuNova CEO (strategy, avionics certification programs). FAA Systems & Equipment DER certification auditor, trainer, consultant. Atego, VP Global Services. HighRely Inc., cofounder. Developer of critical embedded avionics and safety-critical systems.

Yair Reem - Strategy Advisor

BSc Electrical Engineering (Technion, Israel), MA Public Management (Hertie School, Germany), Wharton Business School graduate. Israel Defense Forces’ Cyber Technology Unit 8200. Hasso Plattner Ventures (General Partner). Strategy & Innovation Advisor.

CAREERS
(f/m)

Generally Awesome Engineer

Your role: to come up with algorithms and code to completely and reliably replace the human pilot, only bound by the laws of Nature and rules of the air. Preferred qualifications and experience: be smart, get stuff done, at least 5 years of hardcore C++ software engineering experience, proven research abilities, and applied engineering skills.

Learn more

NEWS

2019-09-17 Daedalean and UAVenture prepare to launch a new vision-based guidance system to the market

UAVenture and Daedalean have published a teaser video announcing a new guidance system for professional UAVs. The system is called Magpie and provides unrivaled AI-powered functions – vision based identification of emergency landing sites during flight, as well as visual navigation that helps sustain GPS outages – in a less than 500g package, and completely integrated with the AirRails flight controller: no additional complex setup & coding required. No pre-marking of landing spots is required, Magpie is able to operate without pre-surveying of the area and recognise dynamic obstacles on the ground. The product will be available soon for the users of AirRails, UAVenture’s flight control system for professional drones.

2019-07-31 Daedalean development review Q2 2019

Watch to learn the features of the AI-autopilot for the autonomous flight – computer vision-based flight control – already demonstrated: situation awareness and perception, detecting flying obstacles, GPS-independent simultaneous localisation and mapping, recognizing obstacles on the ground and safe landing advisory. On the roadmap: wire detection and more.

2019-07-29 Daedalean announced new funding round

This additional round brings the total amount of the company funding to CHF 11.8 million (nearly $12 mln). The funding round is led by Carthona Capital. Other investing VCs are Redalpine and Amino Capital. Along with them, three former engineering managers of Daedalean’s founder and CEO, Dr Luuk van Dijk, back in his times at Google, are investing as business angels. Dr Harald Nieder, Partner at Redalpine, is joining Daedalean’s board as an observer.

2019-05-24 Daedalean and EASA launch Innovation Partnership Contract

On 8 May 2019 Daedalean and EASA concluded a fruitful 3 day workshop to kick off their Innovation Partnership Contract (IPC). The project titled “Concepts of Design Assurance for Neural Networks” aims to examine the challenges posed by the application of Neural Networks in aviation, in the broader context of allowing Machine Learning and more general Artificial Intelligence on board aircraft. Experts from EASA and Daedalean are bundling their expertise to create concepts and safety standards for the application of this branch of Artificial Intelligence in safety critical avionics. The project is expected to run through January 2020 when a final report will be presented.

2019-05-12 Daedalean and Volocopter conduct autonomy-enabling flight tests using artificial intelligence and computer vision technologies

Update:Video released.

Daedalean and Volocopter conducted joint flight tests on Wednesday 27 th March 2019 at the airfield in Bruchsal (D) in order to test Daedalean’s Visual situational awareness system (“Raven”) on board an experimental Volocopter. The tests demonstrated crucial environmental perception capabilities for visual navigation and collision detection in landing and en-route scenarios, using 3 high definition cameras mounted outside the fuselage of the aircraft, the data from which are fed to the on-board computer vision and artificial intelligence (AI) algorithms.

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