Searched for: subject%3A%22Object%255C%252Brecognition%22
(1 - 5 of 5)
document
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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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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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&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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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
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%3A%22Object%255C%252Brecognition%22
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