Map-based navigation in mobile robots:: Ii. a review of map-learning and path-planning strategies
This article reviews map-learning and path-planning strategies within the context of map-
based navigation in mobile robots. Concerning map-learning, it distinguishes metric maps …
based navigation in mobile robots. Concerning map-learning, it distinguishes metric maps …
Visual place recognition: A survey
Visual place recognition is a challenging problem due to the vast range of ways in which the
appearance of real-world places can vary. In recent years, improvements in visual sensing …
appearance of real-world places can vary. In recent years, improvements in visual sensing …
Robust vehicle localization in urban environments using probabilistic maps
J Levinson, S Thrun - 2010 IEEE international conference on …, 2010 - ieeexplore.ieee.org
Autonomous vehicle navigation in dynamic urban environments requires localization
accuracy exceeding that available from GPS-based inertial guidance systems. We have …
accuracy exceeding that available from GPS-based inertial guidance systems. We have …
Square Root SAM: Simultaneous localization and mapping via square root information smoothing
F Dellaert, M Kaess - The International Journal of Robotics …, 2006 - journals.sagepub.com
Solving the SLAM (simultaneous localization and mapping) problem is one way to enable a
robot to explore, map, and navigate in a previously unknown environment. Smoothing …
robot to explore, map, and navigate in a previously unknown environment. Smoothing …
The graph SLAM algorithm with applications to large-scale mapping of urban structures
S Thrun, M Montemerlo - The International Journal of …, 2006 - journals.sagepub.com
This article presents GraphSLAM, a unifying algorithm for the offline SLAM problem.
GraphSLAM is closely related to a recent sequence of research papers on applying …
GraphSLAM is closely related to a recent sequence of research papers on applying …
Map-based precision vehicle localization in urban environments.
J Levinson, M Montemerlo, S Thrun - Robotics: science and systems, 2007 - direct.mit.edu
Many urban navigation applications (eg, au-tonomous navigation, driver assistance
systems) can benefit greatly from localization with centimeter accuracy. Yet such accuracy …
systems) can benefit greatly from localization with centimeter accuracy. Yet such accuracy …
Simultaneous localization and mapping
S Thrun - Robotics and cognitive approaches to spatial mapping, 2008 - Springer
This article provides a comprehensive introduction into the simultaneous localization and
mapping problem, better known in its abbreviated form as SLAM. SLAM addresses the …
mapping problem, better known in its abbreviated form as SLAM. SLAM addresses the …
Fast iterative alignment of pose graphs with poor initial estimates
A robot exploring an environment can estimate its own motion and the relative positions of
features in the environment. Simultaneous localization and mapping (SLAM) algorithms …
features in the environment. Simultaneous localization and mapping (SLAM) algorithms …
Simultaneous localization and mapping
This chapter provides a comprehensive introduction in to the simultaneous localization and
mapping problem, better known in its abbreviated form as SLAM. SLAM addresses the main …
mapping problem, better known in its abbreviated form as SLAM. SLAM addresses the main …
Exactly sparse delayed-state filters for view-based SLAM
This paper reports the novel insight that the simultaneous localization and mapping (SLAM)
information matrix is< emphasis emphasistype=" boldital"> exactly</emphasis> sparse in a …
information matrix is< emphasis emphasistype=" boldital"> exactly</emphasis> sparse in a …