Results 31 to 40 of about 154,165 (294)
Fusing sonars and LRF data to perform SLAM in reduced visibility scenarios [PDF]
Simultaneous Localization and Mapping (SLAM) approaches have evolved considerably in recent years. However, there are many situations which are not easily handled, such as the case of smoky, dusty, or foggy environments where commonly used range sensors ...
Couceiro, Micael S. +3 more
core +1 more source
Simultaneous Localization and Map Building
Perception happens locally, in the egocentric frame of reference of the robot. In order to ensure correspondence between the local representation of the environment built by the landmark extraction processes, and the global representation contained in a map, the robot must estimate its own position with respect to this map.
Andrade-Cetto, Juan, Sanfeliu, Alberto
openaire +2 more sources
Active Mapping and Robot Exploration: A Survey
Simultaneous localization and mapping responds to the problem of building a map of the environment without any prior information and based on the data obtained from one or more sensors.
Iker Lluvia +2 more
doaj +1 more source
Indoor location estimation is crucial to provide context-based assistance in home environments. In this study, a method for simultaneous indoor pedestrian localization and house mapping is proposed and evaluated. The method fuses a person’s movement data
Jesus D. Ceron +4 more
doaj +1 more source
Shapes from Echoes: Uniqueness from Point-to-Plane Distance Matrices
We study the problem of localizing a configuration of points and planes from the collection of point-to-plane distances. This problem models simultaneous localization and mapping from acoustic echoes as well as the notable "structure from sound" approach
Dokmanic, Ivan +2 more
core +1 more source
Performance improvement in VSLAM using stabilized feature points [PDF]
Simultaneous localization and mapping (SLAM) is the main prerequisite for the autonomy of a mobile robot. In this paper, we present a novel method that enhances the consistency of the map using stabilized corner features.
Sahin, Caner +3 more
core +1 more source
Cloud-based map alignment strategies for multi-robot FastSLAM 2.0
The cooperative simultaneous localization and mapping problem has acquired growing attention over the years. Even though mapping of very large environments is theoretically quicker than a single robot simultaneous localization and mapping, it has several
Shimaa S Ali +2 more
doaj +1 more source
Efficient Continuous-Time SLAM for 3D Lidar-Based Online Mapping
Modern 3D laser-range scanners have a high data rate, making online simultaneous localization and mapping (SLAM) computationally challenging. Recursive state estimation techniques are efficient but commit to a state estimate immediately after a new scan ...
Behnke, Sven, Droeschel, David
core +1 more source
Archaeology via underwater robots : mapping and localization within Maltese cistern systems [PDF]
This paper documents the application of several underwater robot mapping and localization techniques used during an archaeological expedition. The goal of this project was to explore and map ancient cisterns located on the islands of Malta and Gozo ...
10th International Conference on Control Automation Robotics & Vision (ICARCV 2008) +4 more
core +1 more source
EF-Razor: An Effective Edge-Feature Processing Method in Visual SLAM
Feature-based visual simultaneous localization and mapping (SLAM) is an effective localization approach for robots in unknown environments. Classic handcrafted features perform well in 2D image matching tasks.
Wen Liu +3 more
doaj +1 more source

