Searched for: subject:"Object%5C+recognition"
(1 - 10 of 10)
document
Peters, R.Y. (author)
A geographical point cloud is a detailed three-dimensional representation of the geometry of our geographic environment. Using geographical point cloud modelling, we are able to extract valuable information from geographical point clouds that can be used for applications in asset management, crisis management, city and landscape planning, and...
doctoral thesis 2018
document
Wijntjes, M.W.A. (author), Rosenholtz, Ruth (author)
Object recognition is often conceived of as proceeding by segmenting an object from its surround, then integrating its features. In turn, peripheral vision's sensitivity to clutter, known as visual crowding, has been framed as due to a failure to restrict that integration to features belonging to the object. We hand-segment objects from their...
journal article 2018
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Calli, B. (author), Caarls, W. (author), Wisse, M. (author), Jonker, P.P. (author)
In this paper, a novel active vision strategy is proposed for optimizing the viewpoint of a robot's vision sensor for a given success criterion. The strategy is based on extremum seeking control (ESC), which introduces two main advantages: 1) Our approach is model free: It does not require an explicit objective function or any other task...
journal article 2018
document
Wang, J. (author)
The rise of intelligent transportation, autonomous driving and 3D virtual cities demands highly accurate and regularly updated 2D and 3D maps. However, traditional surveying andmapping techniques are inadequate as they are labor intensive and cost inefficient. Mobile Laser Scanning (MLS) systems, which combine Light Detection and Ranging (LiDAR)...
doctoral thesis 2017
document
Nurunnabi, Abdul (author), Sadahiro, Yukio (author), Lindenbergh, R.C. (author)
This paper investigates the problems of cylinder fitting in laser scanning three-dimensional Point Cloud Data (PCD). Most existing methods require full cylinder data, do not study the presence of outliers, and are not statistically robust. But especially mobile laser scanning often has incomplete data, as street poles for example are only...
journal article 2017
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Liu Cheng, Alexander (author), Bier, H.H. (author), Mostafavi, S.S. (author)
This paper presents a new instance in a series of discrete proof-of-concept implementations of comprehensively intelligent built-environments based on Design-to-Robotic-Production and -Operation (D2RP&O) principles developed at Delft University of Technology (TUD). With respect to D2RP, the featured implementation presents a customized...
conference paper 2017
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Chandarr, Aswin (author)
The research interests and applicability of robotics have diversified and seen a<br/>tremendous growth in recent years. There has been a shift from industrial robots operating in constrained settings to consumer robots working in dynamic environments associated closely with everyday human activities. Personal service robots to assist elderly,...
doctoral thesis 2016
document
Kwok, T.H. (author), Wan, W. (author), Pan, J. (author), Wang, C.C. (author), Yuan, J. (author), Harada, K (author), Chen, Y. (author)
We present a novel method for caging grasps in this paper by stretching ropes on the surface of a 3D object. Both topology and shape of a model to be grasped has been<br/>considered in our approach. Our algorithm can guarantee generating local minimal rings on every topological branches of a given model with the help of a Reeb graph. Cages and...
conference paper 2016
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Çall?, B. (author)
Manipulation is a key feature for robots which are designed to work in daily environments like homes, offices and streets. These robots do not often have manipulators that are specialized for specific tasks, but grippers that can grasp the target object. This makes grasping a crucial ability that enables many manipulation tasks. Robotic grasping...
doctoral thesis 2015
document
Khoshelham, K. (author)
Automated detection and 3D modelling of objects in laser range data is of great importance in many applications. Existing approaches to object detection in range data are limited to either 2.5D data (e.g. range images) or simple objects with a parametric form (e.g. spheres). This paper describes a new approach to the detection of 3D objects with...
conference paper 2007
Searched for: subject:"Object%5C+recognition"
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