RIs-Calib is a novel, open-source method for calibrating the spatial, temporal, and intrinsic parameters of sensor suites containing multiple 3D radars and IMUs, leveraging continuous-time estimation for accuracy and consistency without requiring artificial calibration targets or prior knowledge.
This paper presents a novel factor graph-based method called MAGYC for calibrating magnetometers and estimating gyroscope biases in AHRS, leveraging angular rate measurements to improve accuracy and enable calibration in scenarios with limited angular motion.
Neural Radiance Fields enable robust and accurate spatio-temporal multi-sensor calibration for autonomous systems.