4 accepted papers
Large-scale 3D scene reconstruction is an important task in autonomous driving and other robotics applications as having an accurate representation of the environment is necessary to safely interact with it. Reconstructions are used for numerous tasks ranging from localization and mapping to plannin…
Many approaches for camera and LiDAR calibration are presented in literature but none of them estimates all intrinsic and extrinsic parameters simultaneously and therefore optimally in a probabilistic sense.In this work, we present a method to simultaneously estimate intrinsic and extrinsic paramete…
Highly accurate localization with very limited amount of memory and computational power is one of the big challenges for next generation series cars. We propose localization based on geometric primitives which are compact in representation and further valuable for other tasks like planning and behav…
In this work we present a novel approach for multi-sensor calibration that significantly outperforms current state-of-the-art. We introduce a new spherical calibration target which has major benefits over existing targets. Those are subresolution detection accuracy in both camera and depth sensor, v…