— The Extended Kalman Filter (EKF) has been the de facto approach to the Simultaneous Localization and Mapping (SLAM) problem for nearly fifteen years. However, the EKF has two ...
This paper proposes a new map building framework for mobile robot named Localization-Free Mapping by Dimensionality Reduction (LFMDR). In this framework, the robot map building is...
Mobile robot localization is the problem of determining a robot's pose from sensor data. This article presents a family of probabilisticlocalization algorithms known as Monte...
Frank Dellaert, Dieter Fox, Wolfram Burgard, Sebas...
We propose a fast and robust CV-SLAM (Ceiling Vision –based Simultaneous Localization and Mapping) technique using a single ceiling vision sensor. The proposed algorithm is suita...
Woo Yeon Jeong (Seoul National University), Kyoung...
— This paper proposes a new tracking algorithm within a 3D-SLAM framework that takes segmented range images as observations. The framework has two layers: the local layer tracks ...
Peter Kohlhepp, Georg Bretthauer, Marcus Walther, ...