Environmental Perception Technology for Unmanned Systems

1. Auflage 2021
ISBN: 978-981-15-8092-5
Verlag: Springer Nature Singapore

Buch, Englisch, 252 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 565 g

Reihe: Unmanned System Technologies

This book focuses on the principles and technology of environmental perception in unmanned systems. With the rapid development of a new generation of information technologies such as automatic control and information perception, a new generation of robots and unmanned systems will also take on new importance. This book first reviews the development of autonomous systems and subsequently introduces readers to the technical characteristics and main technologies of the sensor. Lastly, it addresses aspects including autonomous path planning, intelligent perception and autonomous control technology under uncertain conditions. For the first time, the book systematically introduces the core technology of autonomous system information perception.

Zielgruppe

Research

Autoren/Hrsg.

Bi, Xin

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Sensorik
• Technische Wissenschaften Verkehrstechnik | Transportgewerbe Intelligente & automatisierte Transportsysteme

Inhaltsverzeichnis

Overview of the Autonomous Unmanned Systems.- Millimeter Wave Radar Technology.- Lidar Technology.- Machine Vision.- Other Sensors.- Multi-sensor Fusion Technology.- Positioning and Navigation Technology.- Path Planning.

Über Autor(innen)

Xin Bi is working for the automotive academy of Tongji University. During the work at the Chinese academy of sciences, he has been engaged in the robot technology, signal and information processing technology, robots and unmanned systems intelligent sensing technology research and development, mainly involving microwave millimeter wave radar detection and imaging, intelligent vehicle and unmanned aerial vehicle environment perception system, intelligent traffic control system optimization and modeling intelligent sensing technology. As a project leader, he presided over a number of national and provincial projects.