Daniel Eckert is a computer vision research engineer with 11 years of experience building perception and sensor-fusion systems for automotive, robotics, UAV, and medical applications. Currently at Huawei he focuses on autonomous vehicle platforms—camera and sensor calibration, data pipelines, and GDPR-aware data processing—while earlier work includes smartphone-based 3D corneal topography and SLAM-enabled autonomous demo vehicles. He combines strong academic training from ETH Zurich and NUS with hands-on embedded and ROS development, from EKF-based sensor fusion to visual-inertial pose estimation. Comfortable across the full stack of research, prototyping and productization, he has led software for devices, managed project lifecycles and contributed to grant-funded medical research. Colleagues would note his knack for translating academic algorithms into robust fielded systems and for bridging hardware, safety-relevant navigation, and regulatory constraints.
11 years of coding experience
6 years of employment as a software developer
Master of Science (M.Sc.), Robotics, Systems and Control, Master of Science (M.Sc.), Robotics, Systems and Control at Eidgenössische Technische Hochschule Zürich
Bachelor of Science (B.Sc.), Electrical Engineering and Information Technology, Bachelor of Science (B.Sc.), Electrical Engineering and Information Technology at ETH Zurich
Robotics and Control, Robotics and Control at National University of Singapore
Contributions:30 commits, 2 pushes, 1 branch in 6 months
gazebo-simulatoruavmavsimulatorgazebo
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