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Bringing all GNSS into line: new assistance standards embrace Galileo, Glonass, QZSS [Japanese quasi-zenith satellite system], SBAS [space-based augmentation system] / L. Wirola in GPS world, vol 18 n° 9 (September 2007)

Public [article]  inGPS world > vol 18 n° 9 (September 2007) . - pp 40 - 47 Titre : Bringing all GNSS into line: new assistance standards embrace Galileo, Glonass, QZSS [Japanese quasi-zenith satellite system], SBAS [space-based augmentation system] Type de document : Article/Communication Auteurs : L. Wirola, Auteur ; J. Syrjarinne, Auteur Année de publication : 2007 Article en page(s) : pp 40 - 47 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie spatiale [Termes IGN] appareil portable [Termes IGN] coordonnées cartésiennes géocentriques [Termes IGN] GPS assisté pour la navigation (technologies) [Termes IGN] normalisation [Termes IGN] orbite képlerienne [Termes IGN] récepteur GNSS [Termes IGN] télécommunication sans fil Résumé : (Editeur) Cellular networks have an in-built capability to assist integrated GPS receivers in mobile handsets. The introduction of new GNSSs requires updating the outdated AGPS-only solution to add support for new GPS bands, new GNSSs, and to enhance accuracy, sensitivity, and availability. Copyright Questex Media Group Inc Numéro de notice : A2007-442 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28805 [article]

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
067-07091	SL	Revue	Centre de documentation	Revues en salle	Disponible

It's a robot life: using GPS and pseudolites for humanoid robot positioning / S. Sugano in GPS world, vol 18 n° 9 (September 2007)

Public [article]  inGPS world > vol 18 n° 9 (September 2007) . - pp 48 - 55 Titre : It's a robot life: using GPS and pseudolites for humanoid robot positioning Type de document : Article/Communication Auteurs : S. Sugano, Auteur ; Y. Sakamoto, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 48 - 55 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement [Termes IGN] GPS assisté pour la navigation (technologies) [Termes IGN] GPS-INS [Termes IGN] odomètre [Termes IGN] positionnement en intérieur [Termes IGN] positionnement par GNSS [Termes IGN] positionnement par GPS [Termes IGN] robot Résumé : (Editeur) Robots helping with the housework may seem like science fiction, but Waseda University researchers are exploring ways that humanoid robots could live in harmony with humans. To enable robots to navigate household living spaces, the researchers are developing a seamless indoor/outdoor positioning solution using GPS technology with pseudolites. Copyright Questex Media Group Inc Numéro de notice : A2007-443 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28806 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
067-07091	SL	Revue	Centre de documentation	Revues en salle	Disponible

Brainy positioning: processing GPS data with neural networks / Rodrigo Figueiredo Leandro in GPS world, vol 18 n° 9 (September 2007)

Public [article]  inGPS world > vol 18 n° 9 (September 2007) . - pp 60 - 65 Titre : Brainy positioning: processing GPS data with neural networks Type de document : Article/Communication Auteurs : Rodrigo Figueiredo Leandro, Auteur ; C. Da Silva, Auteur ; P. Segantine, Auteur ; M.C. Santos, Auteur Année de publication : 2007 Article en page(s) : pp 60 - 65 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie spatiale [Termes IGN] phase GPS [Termes IGN] positionnement par GPS [Termes IGN] réseau neuronal artificiel [Termes IGN] simulation [Termes IGN] temps réel [Termes IGN] traitement de données GNSS Résumé : (Editeur) The brain is a fascinating organ. [...] In an effort to better understand how the brain works, neuroscientists teamed up with computer scientists to develop mathematical models to describe how networks of interconnected neurons process information. By the late 1950s, they had arrived at a basic model which has been improved on over the years. Each neuron in the network performs a simple computation; it receives signals from its input links, which it weights and then uses to compute its activation level (or output). The success of neural network models to mimic the basic operation of brain cells led computer scientists to the idea that artificial neural networks could be used to solve mathematical problems. They were able to show that, through a training or learning process, such networks are capable of solving virtually any problem that involves mapping input data to output data. Artificial neural networks have served as the basis for a variety of a tasks ranging from intelligent simulation, to real-time adaptation, to data analysis. While not a direct replacement for our traditional least-squares and Kalman filtering techniques, artificial neural networks have been used effectively for a number of applications in geodesy and navigation, including the processing of GPS data. But the handling of GPS data for use in a neural network processor is not without problems. In this month's column, we take a look at how artificial neural networks can be used as a tool in GPS applications, including the preprocessing necessary to successfully ingest the data. Copyright Questex Media Group Inc Numéro de notice : A2007-444 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28807 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
067-07091	SL	Revue	Centre de documentation	Revues en salle	Disponible