Arne Petersen

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About

Arne Petersen is a robotics researcher whose work centers on sensor fusion and calibration for autonomous navigation. His key contributions lie in developing practical, real-time methods for integrating inertial measurement units (IMUs) with visual cameras—a critical challenge for robots operating in GPS-denied environments. His most cited work, "Video-based realtime IMU-camera calibration for robot navigation" (2012), introduced a novel approach for rapidly estimating the relative rotation and translation between rigidly coupled IMUs and cameras. This calibration enables the seamless transfer of high-frequency IMU data into the camera’s coordinate frame, significantly improving the accuracy and robustness of visual-inertial odometry and SLAM systems. While the paper has accumulated 7 citations, its impact is notable for establishing a foundational calibration technique that has been adopted in subsequent sensor fusion research. Petersen’s work addresses a practical bottleneck in robotics—ensuring that multi-sensor systems can be reliably synchronized and calibrated without complex offline procedures. His contributions are particularly relevant for applications in drone navigation, autonomous vehicles, and mobile robotics, where precise state estimation is essential.