國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Environmental perception technology ...

Bi, Xin.

Environmental perception technology for unmanned systems

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Environmental perception technology for unmanned systemsby Xin Bi.
作者:	Bi, Xin.
出版者:	Singapore :Springer Singapore :2021.
面頁冊數:	xii, 252 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Vehicles, Remotely piloted.
電子資源:	https://doi.org/10.1007/978-981-15-8093-2
ISBN:	9789811580932$q(electronic bk.)

Environmental perception technology for unmanned systems
Bi, Xin.

Environmental perception technology for unmanned systems[electronic resource] /by Xin Bi. - Singapore :Springer Singapore :2021. - xii, 252 p. :ill., digital ;24 cm. - Unmanned system technologies,2523-3734. - Unmanned system technologies..

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.

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.

ISBN: 9789811580932$q(electronic bk.)

Standard No.: 10.1007/978-981-15-8093-2doiSubjects--Topical Terms:

339594
Vehicles, Remotely piloted.

LC Class. No.: TL152.8

Dewey Class. No.: 629.046

Environmental perception technology for unmanned systems
LDR:02019nmm a2200337 a 4500 001 595188
003 DE-He213
005 20200930165153.0
006 m d
007 cr nn 008maaau
008 211005s2021 si s 0 eng d
020 $a 9789811580932$q(electronic bk.)
020 $a 9789811580925$q(paper)
024 7 $a 10.1007/978-981-15-8093-2 $2 doi
035 $a 978-981-15-8093-2
040 $a GP $c GP
041 0 $a eng
050 4 $a TL152.8
072 7 $a TJFM1 $2 bicssc
072 7 $a TEC037000 $2 bisacsh
072 7 $a TJFM1 $2 thema
082 0 4 $a 629.046 $2 23
090 $a TL152.8 $b .B576 2021
100 1 $a Bi, Xin. $3 887285
245 1 0 $a Environmental perception technology for unmanned systems $h [electronic resource] / $c by Xin Bi.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
300 $a xii, 252 p. : $b ill., digital ; $c 24 cm.
490 1 $a Unmanned system technologies, $x 2523-3734
505 0 $a 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.
520 $a 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.
650 0 $a Vehicles, Remotely piloted. $3 339594
650 0 $a Wireless sensor networks. $3 376151
650 0 $a Robot vision. $3 204627
650 1 4 $a Robotics and Automation. $3 357111
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Signal, Image and Speech Processing. $3 273768
650 2 4 $a Automotive Engineering. $3 308930
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Unmanned system technologies. $3 833135
856 4 0 $u https://doi.org/10.1007/978-981-15-8093-2
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)