1,720,953 research outputs found
Review and Comparison of Vision- and LiDAR-based Methods for Autonomous Vehicle Localization
Get PDFA robust and accurate vehicle localization is a crucial element in the field of autonomous vehicles. It is needed for trajectory and path planning, tracking, and trajectory prediction. Normally this is achieved by relying on the global navigation satellite systems, but it is not always reliable. Here vehicles sensing modalities step in and take over the task of localization. This can be achieved by detecting features in the surroundings of the vehicle and localizing the vehicle either relatively or globally. Provided, an accurate map exists consisting of expected features, it is possible to match features extracted with sensing modalities to the map and thus the vehicle is able to make sense of the surrounding environment. Another possibility is to localize the vehicle relatively, for example, lane-level localization. Usually, a camera is used as the sensing modality. It is a relatively affordable, simple, and popular sensor. But in recent decades the Light Detection and Ranging (LiDAR) is offering heavy competition to cameras because it has produced more accurate results and can be used to extract more useful information from the environment. The aim of this work is to offer a review and comparison of vehicle localization using cameras and LiDARs as sensing modalities. In most cases, map-based localization is brought out, but in some cases also relative localization is discussed. The focus of the review is on the sensors, how they are used and what are their advantages or disadvantages. The categorization in the comparison chapter is based on features with which the localization is achieved – these include lane markings, road marks, curb detection, traffic signs and landmarks. In the end, the author concludes the work with suggestions for choosing the right sensor for localization of autonomous vehicle in desired operating conditions, based on reviewed papers
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Kvantifitseeritud mina: terviseandmete jälgimine ja transhumanistlik paradigma
No full textTervisetehnoloogia on populaarne ja inimeste igapäevaellu põimund seade, mille abil inimesed koguvad, jälgivad ja tõlgendavad oma terviseandmeid. Selle magistritöö eesmärk oli koguda empiirilisi andmeid selle kohta, kuidas kasutajad ise tõlgendavad seost enda ja tervisetehnoloogia vahel, kuidas see mõjutab nende enesetunnetust, igapäevaseid otsuseid ja tervisekäitumist. Selleks viisin läbi poolstruktureeritud intervjuud 15 inimesega, kes kasutavad tervisetehnoloogiaid ning teadlikult jälgivad selle andmeid.
Uurimus näitas, et kuigi tervisetehnoloogia aitab paljudel kasutajatel suurendada teadlikkust oma kehast, käitumismustritest ja trendidest, siis võib see kaasa tuua ka sõltuvust, kus loomulik enesetunnetus jäetakse tagaplaanile ning juhuslik transhumanism (ingl accidental transhumanism) kerkib esile, kus heaolu ja otsused on juhitud tehnoloogia poolt (Akdevelioglu jt, 2022). Tulemustes kerkisid esile tervisetehnoloogia andmetest vähem sõltuvuses olevad kasutajad, kes pigem jälgivad neid huvi pärast, enda käitumise või sportliku arengu optimeerimiseks andmeid tõlgendavad kasutajad, tervisetehnoloogia funktsionaalsust tervisemurede jälgimiseks kasutavad inimesed ning ka kasutajad, kes on mängustuse mehhanismide surve alla sattunud ning on aastaid järjepidevalt igapäevaselt aktiivsuseesmärke täitnud, vahel ka oma ajutise heaolu arvelt.
Peamine eesmärk terviseandmete jälgimisel oli suurendada aktiivset liikumist ning populaarseimad jälgitavad mõõdikud olid sammud, aktiivsed kalorid, pulss ja uneandmed. Andmeanalüüsi põhjal joonistusid välja kolm peamist mustrit, mis seletas suhet andmete ja enesetunnetuse vahel:
- Jälgija, mitte järgija või kehakuulaja, kes kogub andmeid infoks, kuid heaolu ja otsused põhinevad inimese enesetunnetusel, mitte tervisetehnoloogia andmetel
- Neoliberalistlik vastutaja ja - tõlgendaja, kes kasutab andmeid oma harjumuste, käitumise või füüsise optimeerimiseks ning tema otsused võivad olla suunatud tervisetehnoloogia ja selle andmete poolt. Siiski proovib ta asju konteksti panna ning lõplik otsus tervisekäitumise ja heaolu suhtes tuleb kasutaja enda enesetunnetuselt.
- Mängustuse fanaatik, kelle heaolu ja igapäevane tervisekäitumine on tugevalt põimunud tervisetehnoloogiaga ning neil on emotsionaalne side andmetega. Kui side tervisetehnoloogiaga ning järjepidevus (ingl streak) peaks katkema, siis tekitaks see neile stressi.
Uurimus toob esile, et kuigi tervisetehnoloogia ja selle andmed võimaldavad inimestel elada teadlikumat ja aktiivsemat elu, võib see teatud juhtudel asendada isikliku autonoomsuse hoopis tervisetehnoloogia suunistega. Selline sõltuvus andmetest asetub hästi transhumanistlikusse paradigmasse (Farman, 2022; Ajana, 2017), kus inimene sulandub sujuvalt tehnoloogiaga ühte (Spuskanyuk, 2024). Töö juhib tähelepanu vajadusele säilitada tasakaal tehnoloogia andmete ja inimliku kogemuse vahel. Kui me teadvustame tervisetehnoloogia andmete mõju, siis on meil suurem kontroll iseenda üle
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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