Computer Vision Expert Advancing Visual SLAM and Robotics Technology
Associated with :
Technische Universität MünchenChristian Kerl is a computer vision researcher who completed his Master's degree in Robotics, Cognition, Intelligence at the Technical University of Munich (TUM) in 2012 under the supervision of Prof. Dr. Daniel Cremers and Dr. Jürgen Sturm. His master's thesis focused on developing robust odometry systems for RGB-D cameras mounted on autonomous quadcopters. As a PhD student in TUM's Computer Vision group, Kerl made significant contributions to dense visual SLAM and 3D reconstruction technologies. His research produced groundbreaking implementations of dense visual odometry and SLAM systems for RGB-D cameras, which run in real-time on CPUs and provide metrically consistent pose estimation. His work includes developing the dvo_slam packages that extend odometry approaches with geometric error terms and frame-to-keyframe matching capabilities. Kerl's research has been integrated into various robotics applications, particularly in autonomous quadcopter navigation and large-scale 3D reconstruction projects. His innovations in dense continuous-time tracking and mapping with rolling shutter RGB-D cameras have advanced the field of visual navigation for flying robots.