Simultaneous localization and map** with infinite planes is attractive because of the
reduced complexity with respect to both sparse point-based and dense volumetric methods …

For many centuries, philosophers and scientists have pondered the origins and nature of
human intuitions about the properties of points, lines, and figures on the Euclidean plane …

This paper explores the impact that landmark parametrization has in the performance of
monocular, EKF-based, 6-DOF simultaneous localization and map** (SLAM) in the …

We propose a new formulation for including orthogonal planar features as a global model
into a linear SLAM approach based on sequential Bayesian filtering. Previous planar SLAM …

We propose a novel visual SLAM method that integrates text objects tightly by treating them
as semantic features via fully exploring their geometric and semantic prior. The text object is …

We present a heterogeneous landmark-based visual navigation approach for a monocular
mobile robot. We utilize heterogeneous visual features, such as points, line segments, lines …