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Titlebook: Online Appearance-Based Place Recognition and Mapping; Their Role in Autono Konstantinos A. Tsintotas,Loukas Bampis,Antonios G Book 2022 Th

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發(fā)表于 2025-3-23 09:54:54 | 只看該作者
Konstantinos A. Tsintotas,Loukas Bampis,Antonios Gasteratoseements, i.e. between parties from different levels of the production or distribution chain, are ubiquitous in the EU economy. Vertical agreements which appreciably restrict competition are, in principle, void, and subject to fines. By exception, agreements may already fall outside the scope of comp
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發(fā)表于 2025-3-23 17:11:53 | 只看該作者
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發(fā)表于 2025-3-23 20:38:30 | 只看該作者
Konstantinos A. Tsintotas,Loukas Bampis,Antonios Gasteratostecting the privacy of social media users is demanded by laws and ethics. In order to prevent subsequent abuse, theft, or public exposure of collected datasets, privacy-aware data processing is crucial. In this chapter, we show a set of concepts to process social media data with social media user’s
14#
發(fā)表于 2025-3-23 22:10:24 | 只看該作者
1610-7438 bile platforms with limited computational resources.Covers r.This book introduces several appearance-based place recognition pipelines based on different mapping techniques for addressing loop-closure detection in mobile platforms with limited computational resources. The motivation behind this book
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發(fā)表于 2025-3-24 05:07:52 | 只看該作者
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發(fā)表于 2025-3-24 06:30:13 | 只看該作者
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發(fā)表于 2025-3-24 12:55:36 | 只看該作者
Online Appearance-Based Place Recognition and MappingTheir Role in Autono
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發(fā)表于 2025-3-24 16:49:08 | 只看該作者
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發(fā)表于 2025-3-24 21:36:36 | 只看該作者
The Revisiting Problem in Simultaneous Localization and Mapping,ed place using onboard computer vision tools. In robotics, the recognizer has to generalize as much as possible, in the sense that it should support robust associations among different recordings of the same place against viewpoint and environmental variations, under run-time, storage, and processin
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發(fā)表于 2025-3-25 00:19:13 | 只看該作者
,Dynamic Places’ Definition for Sequence-Based Visual Place Recognition,secutive images is avoided, a technique frequently adopted for ICP, while robustness is achieved regarding the generated places’ size. The remainder of this chapter is organized as follows. In Sect.?., the pipeline is described in detail, while in Sect.?., the presented framework is evaluated in sev
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