Searched for: subject%3A%22object%255C+recognition%22
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Lindenbergh, R.C. (author), Cserép, Máté (author)
The evolution and spreading of data capturing methods ranging from simple GPS devices like smart-phones to large scale imaging equipment – including very high resolution and hyperspectral cameras and LiDAR – resulted in an exponential growth in the amount of spatial data maintained by companies and organizations. At the same time methods for...
journal article 2023
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ter Kuile, David (author)
As robots are becoming a more integral part in our daily lives, it is important to ensure they work in a safe and efficient manner. A large part of perceiving the environment is done through robot vision. Research in computer vision and machine learning lead to great improvements in the past decades and robots are able to outperform humans on...
master thesis 2021
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van der Sar, martijn (author)
Pick and place systems that operate in a warehouse setting have been studied a lot recently due to the high economic value for e-commerce companies. In this thesis, the focus is on the perception pipeline that performs object recognition given a certain input data stream (typically RGB-D images). Impressive results regarding object recognition...
master thesis 2021
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Svenningsson, P.O. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)
Perception systems for autonomous vehicles are reliant on a comprehensive sensor suite to identify objects in the environment. While object recognition systems in the LiDAR and camera modalities are reaching maturity, recognition models on sparse radar point measurements have remained an open research challenge. An object recognition model is...
conference paper 2021
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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
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Sahla, Nordin (author)
The last decade has marked a rapid and significant growth of the global market of warehouse automation. The biggest challenge lies in the identification and handling of foreign objects. The aim of this research is to investigate whether a usable relation exist between object features such as size or shape, and barcode location, that can be used...
master thesis 2018
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Wang, Weizheng (author), Zhang, Junwei (author), Wang, Q. (author), Zuniga, Marco (author)
Localization based on visible light is gaining significant attention. But most existing studies rely on a key requirement: the object of interest needs to carry an optical receiver (camera or photodiode). We remove this requirement and investigate the possibility of achieving accurate localization in a passive manner, that is, without...
conference paper 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
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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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Radojević, Jovana (author)
A lot of attention has recently been focused on possible benefits of the cooperation between machines and humans. Taking the best from machines and humans and joining them together can produce results which exceed each collaborating partner performing separately. A common belief is that the<br/>key for good cooperation is an excellent...
master thesis 2017
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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
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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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Bos, S. (author)
This thesis describes how multimodal sensor data from a 3D sensor and microphone array can be processed with deep neural networks such that its fusion, the trained neural network, is a) more robust to noise, b) outperforms unimodal recognition and c) enhances unimodal recognition in absence of multimodal data. We built a framework for a complete...
master thesis 2017
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Liu Cheng, Alexander (author), Bier, H.H. (author), Mostafavi, Sina (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&amp;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
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De Lange, L.F.M. (author)
The life expectancy of humans increases due to better medical care, food quality and personal hygiene. The demand for domestic robots performing (simple) household chores will increase as consequence to this trend. An important task of these robots is recognizing objects within an environment. Object models are constructed using multiple views...
master thesis 2016
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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
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Homulle, H.A.R. (author), Zimmerling, J.T. (author)
An embedded electronic camera system for unmanned aerial vehicles (UAV) was developed in the scope of the final bachelor project at the TU Delft in 2012. The aim of the project was to develop a prototype for a new UAV competition. The electronic system of the prototype had to able to track an object, make a picture of it and send it to a ground...
bachelor thesis 2012
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Alagarsamybalasubramanian, A.C. (author)
Robots have been popular amongst us as Science fiction characters for a few decades now. The inability of the robots to robustly perceive and respond to the real world has been confining them to the laboratories for a long time. This can be attributed to the dynamic nature of the everyday environments where the prelearnt knowledge alone is not...
master thesis 2012
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