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» Evaluation of grid-map sensor fusion mapping algorithms
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SMC
2007
IEEE
181views Control Systems» more  SMC 2007»
13 years 10 months ago
Evaluation of grid-map sensor fusion mapping algorithms
This paper presents a thorough evaluation of grid map based sensor fusion algorithms for mapping the environment of a mobile robot. Three physical sensors were used for creating t...
Keren Kapach, Yael Edan
IROS
2007
IEEE
186views Robotics» more  IROS 2007»
13 years 10 months ago
3D forward sensor modeling and application to occupancy grid based sensor fusion
— This paper presents a new technique for the update of a probabilistic spatial occupancy grid map using a forward sensor model. Unlike currently popular inverse sensor models, f...
Kaustubh Pathak, Andreas Birk 0002, Jann Poppinga,...
IJRR
2011
210views more  IJRR 2011»
12 years 11 months ago
Visual-Inertial Sensor Fusion: Localization, Mapping and Sensor-to-Sensor Self-calibration
Visual and inertial sensors, in combination, are able to provide accurate motion estimates and are well-suited for use in many robot navigation tasks. However, correct data fusion...
Jonathan Kelly, Gaurav S. Sukhatme
RAS
2008
135views more  RAS 2008»
13 years 4 months ago
Constructing dependable certainty grids from unreliable sensor data
-- Measurements from sensors as they are used for robotic grid map applications typically show behavior like degradation or discalibration over time, which affects the quality of t...
Wilfried Elmenreich
ARCS
2005
Springer
13 years 10 months ago
Self-Organizing, Adaptive Data Fusion for 3d Object Tracking
Data fusion concepts are a necessary basis for utilizing complex networks of sensors. A key feature for a robust data fusion system is adaptivity, both to be fault-tolerant and to...
Olaf Kähler, Joachim Denzler