Perception Control Technology Intelligent (9 results)

Condition: New.

paperback. Condition: New. Paperback.Pub Date:2024-03 Pages:232 Language:Chinese Publisher:Chemical Industry Press This book combines the latest developments in intelligent vehicle technology and provides a comprehensive introduction to the key contents involved in intelligent vehicle technology. The book consists of 6 chapters. mainly discussing the key technologies of intelligent vehicles. namely environmental perception technology. trajectory planning technology and tracking control technology. Chapter 1 of this boo. …

Hardcover. Condition: new. Hardcover. Autonomous uncrewed systems (AUS) are electromechanical systems capable of independently completing specific tasks. The development of artificial intelligence technology can enhance their performance, thereby forming intelligent autonomous uncrewed systems (iAUSs). iAUSs represent a multidisciplinary field that relies on advancements in big data, artificial intelligence, and other scientific and technological fields, aiming to develop intelligent, autonomous, and collaborative uncrewed systems with integrated task execution capabilities, motion planning, decision-making, and reasoning abilities. Currently, these technologies have shown diverse intelligent development characteristics. This Special Issue aims to explore the various technologies involved in iAUS, introduce the latest research progress, and promote information exchange.Since its establishment, this Special Issue has invited nearly 20 academic papers for submission, receiving widespread attention from scholars in related fields. Thanks to the hard work of the journal editors, this Special Issue includes eight articles from several universities and research institutes, covering mapping, detection, tracking, and navigation control methods for uncrewed systems in multi-dynamic environments, such as robust attitude estimation and high-fidelity scene reconstruction in dynamic environments, fault detection of photovoltaic hotspots, construction and representation of digital environmental spaces, tree trunk detection, intelligent classification of cassava diseases, uncrewed vehicle collaborative tracking, trajectory tracking, and dual-arm collaborative control. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Condition: new. Hardcover. Autonomous uncrewed systems (AUS) are electromechanical systems capable of independently completing specific tasks. The development of artificial intelligence technology can enhance their performance, thereby forming intelligent autonomous uncrewed systems (iAUSs). iAUSs represent a multidisciplinary field that relies on advancements in big data, artificial intelligence, and other scientific and technological fields, aiming to develop intelligent, autonomous, and collaborative uncrewed systems with integrated task execution capabilities, motion planning, decision-making, and reasoning abilities. Currently, these technologies have shown diverse intelligent development characteristics. This Special Issue aims to explore the various technologies involved in iAUS, introduce the latest research progress, and promote information exchange.Since its establishment, this Special Issue has invited nearly 20 academic papers for submission, receiving widespread attention from scholars in related fields. Thanks to the hard work of the journal editors, this Special Issue includes eight articles from several universities and research institutes, covering mapping, detection, tracking, and navigation control methods for uncrewed systems in multi-dynamic environments, such as robust attitude estimation and high-fidelity scene reconstruction in dynamic environments, fault detection of photovoltaic hotspots, construction and representation of digital environmental spaces, tree trunk detection, intelligent classification of cassava diseases, uncrewed vehicle collaborative tracking, trajectory tracking, and dual-arm collaborative control. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Hardcover. Condition: new. Hardcover. Autonomous uncrewed systems (AUS) are electromechanical systems capable of independently completing specific tasks. The development of artificial intelligence technology can enhance their performance, thereby forming intelligent autonomous uncrewed systems (iAUSs). iAUSs represent a multidisciplinary field that relies on advancements in big data, artificial intelligence, and other scientific and technological fields, aiming to develop intelligent, autonomous, and collaborative uncrewed systems with integrated task execution capabilities, motion planning, decision-making, and reasoning abilities. Currently, these technologies have shown diverse intelligent development characteristics. This Special Issue aims to explore the various technologies involved in iAUS, introduce the latest research progress, and promote information exchange.Since its establishment, this Special Issue has invited nearly 20 academic papers for submission, receiving widespread attention from scholars in related fields. Thanks to the hard work of the journal editors, this Special Issue includes eight articles from several universities and research institutes, covering mapping, detection, tracking, and navigation control methods for uncrewed systems in multi-dynamic environments, such as robust attitude estimation and high-fidelity scene reconstruction in dynamic environments, fault detection of photovoltaic hotspots, construction and representation of digital environmental spaces, tree trunk detection, intelligent classification of cassava diseases, uncrewed vehicle collaborative tracking, trajectory tracking, and dual-arm collaborative control. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Buch. Condition: Neu. Perception and Control Technology for Intelligent Autonomous Unmanned Systems | Buch | Englisch | 2026 | MDPI AG | EAN 9783725888719 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Autonomous uncrewed systems (AUS) are electromechanical systems capable of independently completing specific tasks. The development of artificial intelligence technology can enhance their performance, thereby forming intelligent autonomous uncrewed systems (iAUSs). iAUSs represent a multidisciplinary field that relies on advancements in big data, artificial intelligence, and other scientific and technological fields, aiming to develop intelligent, autonomous, and collaborative uncrewed systems with integrated task execution capabilities, motion planning, decision-making, and reasoning abilities. Currently, these technologies have shown diverse intelligent development characteristics. This Special Issue aims to explore the various technologies involved in iAUS, introduce the latest research progress, and promote information exchange.Since its establishment, this Special Issue has invited nearly 20 academic papers for submission, receiving widespread attention from scholars in related fields. Thanks to the hard work of the journal editors, this Special Issue includes eight articles from several universities and research institutes, covering mapping, detection, tracking, and navigation control methods for uncrewed systems in multi-dynamic environments, such as robust attitude estimation and high-fidelity scene reconstruction in dynamic environments, fault detection of photovoltaic hotspots, construction and representation of digital environmental spaces, tree trunk detection, intelligent classification of cassava diseases, uncrewed vehicle collaborative tracking, trajectory tracking, and dual-arm collaborative control.…