Vision-based Localization and Robot-centric Mapping in Riverine Environments

2015 ◽  
Vol 34 (3) ◽  
pp. 429-450 ◽  
Author(s):  
Junho Yang ◽  
Ashwin Dani ◽  
Soon-Jo Chung ◽  
Seth Hutchinson
Keyword(s):  
Vision Based Localization

scholarly journals Improved Visual Localization via Graph Filtering

2021 ◽  
Vol 7 (2) ◽  
pp. 20
Author(s):  
Carlos Lassance ◽  
Yasir Latif ◽  
Ravi Garg ◽  
Vincent Gripon ◽  
Ian Reid
Keyword(s):  
Image Retrieval ◽  
Large Scale ◽  
Visual Localization ◽  
Localization Accuracy ◽  
Additional Information ◽  
Feature Representations ◽  
The Mean ◽  
Classical Image ◽  
Vision Based Localization ◽  
Improve Reliability

Vision-based localization is the problem of inferring the pose of the camera given a single image. One commonly used approach relies on image retrieval where the query input is compared against a database of localized support examples and its pose is inferred with the help of the retrieved items. This assumes that images taken from the same places consist of the same landmarks and thus would have similar feature representations. These representations can learn to be robust to different variations in capture conditions like time of the day or weather. In this work, we introduce a framework which aims at enhancing the performance of such retrieval-based localization methods. It consists in taking into account additional information available, such as GPS coordinates or temporal proximity in the acquisition of the images. More precisely, our method consists in constructing a graph based on this additional information that is later used to improve reliability of the retrieval process by filtering the feature representations of support and/or query images. We show that the proposed method is able to significantly improve the localization accuracy on two large scale datasets, as well as the mean average precision in classical image retrieval scenarios.

Communicating Vehicles in Convoy and Monocular Vision-based Localization

2010 ◽  
Vol 43 (16) ◽  
pp. 73-78 ◽  
Author(s):  
Thomas Féraud ◽  
Paul Checchin ◽  
Romuald Aufrère ◽  
Roland Chapuis
Keyword(s):  
Monocular Vision ◽  
Vision Based Localization

Quadrotor: Design, Control and Vision Based Localization

2014 ◽  
Vol 47 (1) ◽  
pp. 1104-1110 ◽  
Author(s):  
Anurag Sai Vempati ◽  
Vipul Choudhary ◽  
Laxmidhar Behera
Keyword(s):  
Vision Based Localization

scholarly journals Autonomous exploration with prediction of the quality of vision-based localization

2017 ◽  
Vol 50 (1) ◽  
pp. 10274-10279 ◽  
Author(s):  
Hélène Roggeman ◽  
Julien Marzat ◽  
Anthelme Bernard-Brunel ◽  
Guy Le Besnerais
Keyword(s):  
Autonomous Exploration ◽  
Quality Of Vision ◽  
Vision Based Localization

Efficient Handover for Mobile Device in Beam-Steered Infrared Light Communication with Vision-based Localization

2021 ◽  
Author(s):  
N. Q. Pham ◽  
K. A. Mekonnen ◽  
A. Mefleh ◽  
A. M. J. Koonen ◽  
E. Tangdiongga
Keyword(s):  
Mobile Device ◽  
Infrared Light ◽  
Vision Based Localization
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