Joris Domhof

Papers

Total Citations

106

H-Index

About

Joris Domhof is a robotics researcher specializing in multimodal sensor fusion and human-robot interaction. His most impactful contribution is a joint extrinsic calibration tool for radar, camera, and lidar sensors, published in 2021 and cited 96 times. This work addresses a critical challenge in autonomous systems by proposing a single calibration target design that works across all three modalities, simplifying sensor setup for robotics and autonomous driving applications. The open-source tool, integrated with the Robot Operating System (ROS), features three optimization methods, making it accessible and practical for the research community. Domhof also explored human-robot interaction in domestic environments with his 2015 work on a multimodal joint visual attention model, cited 10 times. This model combines bottom-up saliency and depth-based segmentation with top-down cues like pointing and gaze to detect objects of interest, enabling more natural, non-verbal communication between humans and robots. Together, these works demonstrate Domhof’s focus on bridging perception and interaction—from precise sensor alignment to intuitive robotic behavior—advancing both the technical foundations and practical applications of autonomous systems.