Abstract 6D SLAM (simultaneous localization and mapping) or 6D concurrent localization and mapping of mobile robots considers six dimensions for the robot pose, namely, the x, y …
A globally consistent solution to the simultaneous localization and mapping (SLAM) problem in 2D with three degrees of freedom (DoF) poses was presented by Lu and Milios [F. Lu, E …
Focuses on acquiring spatial models of physical environments through mobile robots The robotic mapping problem is commonly referred to as SLAM (simultaneous localization and …
J Hu, S You, U Neumann - IEEE Computer Graphics and …, 2003 - ieeexplore.ieee.org
Large-scale urban modeling technologies use a variety of sensors and data acquisition techniques. The authors categorize current approaches and describe their advantages and …
This paper provides a new solution to the simultaneous localization and mapping (SLAM) problem with six degrees of freedom. A fast variant of the iterative closest points (ICP) …
Page 1 Advanced Spatial Analysis The CASA book of GIS CASA Paul A. Longley and Michael Batty, editors Centre for Advanced Spatial Analysis Page 2 Page 3 Page 4 Page 5 Advanced …
S May, B Werner, H Surmann… - 2006 IEEE/RSJ …, 2006 - ieeexplore.ieee.org
Recently developed 3D time-of-flight cameras have an enormous potential for mobile robotic applications in particular for mapping and navigation tasks. This paper presents a new …
S Kolski, D Ferguson, M Bellino… - 2006 IEEE Intelligent …, 2006 - ieeexplore.ieee.org
Autonomous vehicles are being used increasingly often for a range of tasks, including automated highway driving and automated parking. Such systems are typically either …