Dominik Honegger

About

Dominik Honegger is a leading figure in embedded robotics and computer vision, renowned for pioneering open-source, deeply embedded systems that enable autonomous micro aerial vehicles (MAVs). His landmark work on the PX4 robotics framework—a multithreaded, publish-subscribe middleware for deeply embedded platforms—has garnered over 697 citations, revolutionizing how developers program resource-constrained drones. Honegger’s major contributions include developing open-source, metric optical flow cameras (272 citations) that provide robust velocity estimation for indoor and outdoor MAV navigation, and advancing real-time, low-latency computer vision by combining FPGAs with mobile CPUs (94 citations). He has also made significant strides in real-time velocity estimation through optical flow and disparity matching (53 citations), and in embedded multi-baseline stereo for dense depth mapping (28 citations), critical for obstacle detection. His work on real-time 3D navigation for autonomous vision-guided MAVs (20 citations) further cements his impact. Honegger’s innovations have democratized drone autonomy, providing accessible, high-performance tools that empower researchers and hobbyists alike to push the boundaries of aerial robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   PX4: A node-based multithreaded open source robotics framework for deeply embedded platforms

   697 citations · 2015
2. 2
   An open source and open hardware embedded metric optical flow CMOS camera for indoor and outdoor applications

   272 citations · 2013
3. 3
   Real-time and low latency embedded computer vision hardware based on a combination of FPGA and mobile CPU

   94 citations · 2014
4. 4
   Real-time velocity estimation based on optical flow and disparity matching

   53 citations · 2012
5. 5
   Embedded real-time multi-baseline stereo

   28 citations · 2017
6. 6
   Real-time 3D navigation for autonomous vision-guided MAVs

   20 citations · 2015

Key Collaborators

Contact & Links