The Trimmed Iterative Closest Point Algorithm
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Calibration of focal length and 3D pose based on the reflectance and depth image of a planar object
International Journal of Intelligent Systems Technologies and Applications
Supporting structure from motion with a 3D-range-camera
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
Datastructures for Capturing Dynamic Scenes with a Time-of-Flight Camera
Dyn3D '09 Proceedings of the DAGM 2009 Workshop on Dynamic 3D Imaging
Global Context Extraction for Object Recognition Using a Combination of Range and Visual Features
Dyn3D '09 Proceedings of the DAGM 2009 Workshop on Dynamic 3D Imaging
View Planning for 3D Reconstruction Using Time-of-Flight Camera Data
Proceedings of the 31st DAGM Symposium on Pattern Recognition
Time-of-Flight sensor calibration for accurate range sensing
Computer Vision and Image Understanding
Map estimation using GPS-equipped mobile wireless nodes
Pervasive and Mobile Computing
RGB-D mapping: Using Kinect-style depth cameras for dense 3D modeling of indoor environments
International Journal of Robotics Research
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In this paper, we describe a joint approach for robot navigation with collision avoidance, pose estimation and map building with a 2.5D Photonic Mixer Device (PMD)-camera combined with a high-resolution spherical camera. The cameras are mounted at the front of the robot with a certain inclination angle. The navigation and map building consists of two steps: when entering new terrain the robot first scans the surrounding. Simultaneously a 3D-panorama is generated from the PMD-images. In the second step, the robot moves along the pre-defined path, using the PMD-camera for collision avoidance and a combined Structure-from-Motion (SfM) and model-tracking approach for self-localisation. The computed poses of the robot are simultaneously used for map building with new measurements from the PMD-camera.