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100%: Herausgeber: Dimiter Driankov, Herausgeber: Alessandro Saffiotti: Fuzzy Logic Techniques for Autonomous Vehicle Navigation (ISBN: 9783790818352) 2013, 2001. Ausgabe, in Englisch, Taschenbuch.Nur diese Ausgabe anzeigen…
100%: Sous la direction de: Dimiter Driankov, Sous la direction de: Alessandro Saffiotti: Fuzzy Logic Techniques for Autonomous Vehicle Navigation (Studies in Fuzziness and Soft Computing Vol. 61) (ISBN: 9783790813418) 2001, in Deutsch, Broschiert.Nur diese Ausgabe anzeigen…
Fuzzy Logic Techniques for Autonomous Vehicle Navigation
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Bester Preis: Fr. 142.02 (€ 146.35)¹ (vom 21.04.2019)1
Fuzzy Logic Techniques for Autonomous Vehicle Navigation
~EN NW EB DLISBN: 9783790818352 bzw. 3790818356, vermutlich in Englisch, Springer Shop, neu, E-Book, elektronischer Download.
Lieferung aus: Vereinigte Staaten von Amerika, Lagernd, zzgl. Versandkosten.
In the past decade a critical mass of work that uses fuzzy logic for autonomous vehicle navigation has been reported. Unfortunately, reports of this work are scattered among conference, workshop, and journal publications that belong to different research communities (fuzzy logic, robotics, artificial intelligence, intelligent control) and it is therefore not easily accessible either to the new comer or to the specialist. As a result, researchers in this area may end up reinventing things while being unaware of important existing work. We believe that research and applications based on fuzzy logic in the field of autonomous vehicle navigation have now reached a sufficient level of maturity, and that it should be suitably reported to the largest possible group of interested practitioners, researches, and students. On these grounds, we have endeavored to collect some of the most representative pieces of work in one volume to be used as a reference. Our aim was to provide a volume which is more than "yet another random collection of papers," and gives the reader some added value with respect to the individual papers. In order to achieve this goal we have aimed at: • Selecting contributions which are representative of a wide range of prob lems and solutions and which have been validated on real robots; and • Setting the individual contributions in a clear framework, that identifies the main problems of autonomous robotics for which solutions based on fuzzy logic have been proposed. eBook.
In the past decade a critical mass of work that uses fuzzy logic for autonomous vehicle navigation has been reported. Unfortunately, reports of this work are scattered among conference, workshop, and journal publications that belong to different research communities (fuzzy logic, robotics, artificial intelligence, intelligent control) and it is therefore not easily accessible either to the new comer or to the specialist. As a result, researchers in this area may end up reinventing things while being unaware of important existing work. We believe that research and applications based on fuzzy logic in the field of autonomous vehicle navigation have now reached a sufficient level of maturity, and that it should be suitably reported to the largest possible group of interested practitioners, researches, and students. On these grounds, we have endeavored to collect some of the most representative pieces of work in one volume to be used as a reference. Our aim was to provide a volume which is more than "yet another random collection of papers," and gives the reader some added value with respect to the individual papers. In order to achieve this goal we have aimed at: • Selecting contributions which are representative of a wide range of prob lems and solutions and which have been validated on real robots; and • Setting the individual contributions in a clear framework, that identifies the main problems of autonomous robotics for which solutions based on fuzzy logic have been proposed. eBook.
2
Fuzzy Logic Techniques for Autonomous Vehicle Navigation
~EN NW EB DLISBN: 9783790818352 bzw. 3790818356, vermutlich in Englisch, Physica-Verlag HD, neu, E-Book, elektronischer Download.
Lieferung aus: Deutschland, Versandkostenfrei.
Fuzzy Logic Techniques for Autonomous Vehicle Navigation: In the past decade a critical mass of work that uses fuzzy logic for autonomous vehicle navigation has been reported. Unfortunately, reports of this work are scattered among conference, workshop, and journal publications that belong to different research communities (fuzzy logic, robotics, artificial intelligence, intelligent control) and it is therefore not easily accessible either to the new- comer or to the specialist. As a result, researchers in this area may end up reinventing things while being unaware of important existing work. We believe that research and applications based on fuzzy logic in the field of autonomous vehicle navigation have now reached a sufficient level of maturity, and that it should be suitably reported to the largest possible group of interested practitioners, researches, and students. On these grounds, we have endeavored to collect some of the most representative pieces of work in one volume to be used as a reference. Our aim was to provide a volume which is more than "e yet another random collection of papers,"e and gives the reader some added value with respect to the individual papers. In order to achieve this goal we have aimed at: \* Selecting contributions which are representative of a wide range of prob- lems and solutions and which have been validated on real robots and \* Setting the individual contributions in a clear framework, that identifies the main problems of autonomous robotics for which solutions based on fuzzy logic have been proposed. Englisch, Ebook.
Fuzzy Logic Techniques for Autonomous Vehicle Navigation: In the past decade a critical mass of work that uses fuzzy logic for autonomous vehicle navigation has been reported. Unfortunately, reports of this work are scattered among conference, workshop, and journal publications that belong to different research communities (fuzzy logic, robotics, artificial intelligence, intelligent control) and it is therefore not easily accessible either to the new- comer or to the specialist. As a result, researchers in this area may end up reinventing things while being unaware of important existing work. We believe that research and applications based on fuzzy logic in the field of autonomous vehicle navigation have now reached a sufficient level of maturity, and that it should be suitably reported to the largest possible group of interested practitioners, researches, and students. On these grounds, we have endeavored to collect some of the most representative pieces of work in one volume to be used as a reference. Our aim was to provide a volume which is more than "e yet another random collection of papers,"e and gives the reader some added value with respect to the individual papers. In order to achieve this goal we have aimed at: \* Selecting contributions which are representative of a wide range of prob- lems and solutions and which have been validated on real robots and \* Setting the individual contributions in a clear framework, that identifies the main problems of autonomous robotics for which solutions based on fuzzy logic have been proposed. Englisch, Ebook.
3
Fuzzy Logic Techniques for Autonomous Vehicle Navigation (Studies in Fuzziness and Soft Computing) (2013)
EN NW EB DLISBN: 9783790818352 bzw. 3790818356, in Englisch, 406 Seiten, 2001. Ausgabe, Physica, neu, E-Book, elektronischer Download.
Lieferung aus: Deutschland, E-Book zum Download, Versandkostenfrei.
In the past decade a critical mass of work that uses fuzzy logic for autonomous vehicle navigation has been reported. Unfortunately, reports of this work are scattered among conference, workshop, and journal publications that belong to different research communities (fuzzy logic, robotics, artificial intelligence, intelligent control) and it is therefore not easily accessible either to the new comer or to the specialist. As a result, researchers in this area may end up reinventing things while being unaware of important existing work. We believe that research and applications based on fuzzy logic in the field of autonomous vehicle navigation have now reached a sufficient level of maturity, and that it should be suitably reported to the largest possible group of interested practitioners, researches, and students. On these grounds, we have endeavored to collect some of the most representative pieces of work in one volume to be used as a reference. Our aim was to provide a volume which is more than "yet another random collection of papers," and gives the reader some added value with respect to the individual papers. In order to achieve this goal we have aimed at: • Selecting contributions which are representative of a wide range of prob lems and solutions and which have been validated on real robots; and • Setting the individual contributions in a clear framework, that identifies the main problems of autonomous robotics for which solutions based on fuzzy logic have been proposed. Kindle Edition, Ausgabe: 2001, Format: Kindle eBook, Label: Physica, Physica, Produktgruppe: eBooks, Publiziert: 2013-03-09, Freigegeben: 2013-03-09, Studio: Physica.
In the past decade a critical mass of work that uses fuzzy logic for autonomous vehicle navigation has been reported. Unfortunately, reports of this work are scattered among conference, workshop, and journal publications that belong to different research communities (fuzzy logic, robotics, artificial intelligence, intelligent control) and it is therefore not easily accessible either to the new comer or to the specialist. As a result, researchers in this area may end up reinventing things while being unaware of important existing work. We believe that research and applications based on fuzzy logic in the field of autonomous vehicle navigation have now reached a sufficient level of maturity, and that it should be suitably reported to the largest possible group of interested practitioners, researches, and students. On these grounds, we have endeavored to collect some of the most representative pieces of work in one volume to be used as a reference. Our aim was to provide a volume which is more than "yet another random collection of papers," and gives the reader some added value with respect to the individual papers. In order to achieve this goal we have aimed at: • Selecting contributions which are representative of a wide range of prob lems and solutions and which have been validated on real robots; and • Setting the individual contributions in a clear framework, that identifies the main problems of autonomous robotics for which solutions based on fuzzy logic have been proposed. Kindle Edition, Ausgabe: 2001, Format: Kindle eBook, Label: Physica, Physica, Produktgruppe: eBooks, Publiziert: 2013-03-09, Freigegeben: 2013-03-09, Studio: Physica.
4
Fuzzy Logic Techniques for Autonomous Vehicle Navigation (2013)
~EN NW EB DLISBN: 9783790818352 bzw. 3790818356, vermutlich in Englisch, Physica, Physica, Physica, neu, E-Book, elektronischer Download.
Lieferung aus: Frankreich, in-stock.
In the past decade a critical mass of work that uses fuzzy logic for autonomous vehicle navigation has been reported. Unfortunately, reports of this work are scattered among conference, workshop, and journal publications that belong to different r.
In the past decade a critical mass of work that uses fuzzy logic for autonomous vehicle navigation has been reported. Unfortunately, reports of this work are scattered among conference, workshop, and journal publications that belong to different r.
5
Fuzzy Logic Techniques for Autonomous Vehicle Navigation
~EN PB NWISBN: 9783790818352 bzw. 3790818356, vermutlich in Englisch, Taschenbuch, neu.
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