Roland Meertens is a machine learning engineer and technical leader with 11 years building perception, localization, and decision-making systems for autonomous machines. Currently at Wayve in London, he guides geo-expansion and global-scale autonomous vehicle deployment, blending hands-on ML with systems engineering. He previously advanced object detection and localization at Autonomous Intelligent Driving and led annotation acceleration projects at Annotell, with a track record of turning research into production-ready features. An active open-source contributor, he strengthened the Paparazzi UAV platform with video processing, obstacle avoidance, and configurable streaming, underscoring his ability to ship robust robotics software under constraints. Roland's background spans academia and industry—from SLAM and indoor drone localization at TU Delft to leadership roles at university robotics labs and student organizations—giving him a rare blend of theoretical depth and practical delivery. Based in London, he brings a global perspective to building scalable, safe AI for mobility.
Paparazzi is a free and open-source hardware and software project for unmanned (air) vehicles. This is the main software repository.
Role in this project:
Embedded Systems Engineer / IoT Developer
Contributions:67 commits, 58 PRs, 168 comments in 1 year 1 month
Contributions summary:Roland primarily contributed to the computer vision and autopilot software of the unmanned aerial vehicles project. The user implemented features related to video processing, including enhancing video logging and making RTP streaming configurable. Furthermore, the user added functionalities to allow for obstacle avoidance and a follow me function.
Contributions:2 PRs, 9 pushes, 3 branches in 4 years
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