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厦门大学 [1]
北京大学 [1]
长春光学精密机械与物... [1]
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2012 [1]
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Urban Built-Up Area Extraction from Landsat TM/ETM plus Images Using Spectral Information and Multivariate Texture
期刊论文
remote sens basel, 2014
Zhang, Jun
;
Li, Peijun
;
Wang, Jinfei
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  |  
浏览/下载:6/0
  |  
提交时间:2015/11/13
urban built-up area
multivariate texture
OCSVM
Landsat
REMOTELY-SENSED DATA
COVER CLASSIFICATION
SATELLITE IMAGERY
DAMAGE DETECTION
PRESENCE INDEX
TM DATA
FEATURES
MAP
ENVIRONMENTS
VEGETATION
移动机器人室内自主巡视技术研究
学位论文
2012, 2012
党旭勇
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浏览/下载:2/0
  |  
提交时间:2016/02/14
移动机器人
自主巡视
路径规划
地图构建
人体检测
mobile robot
autonomous patrolling
robot path planning
map built
human detection
Study on integrated vehicle navigation system of "Beidou" double-star/DR (EI CONFERENCE)
会议论文
ICO20: Optical Devices and Instruments, August 21, 2005 - August 26, 2005, Changchun, China
Liu H.
;
Liu J.
;
Zhai L.
;
Xiu J.
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浏览/下载:19/0
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提交时间:2013/03/25
Vehicle navigation is the corn element of Intelligent Transport System. The integrated system of "Beidou" Double-star/DR is studied in this paper according to the present state of vehicle navigation in our country. "Beidou" Double-star navigation position system is one regional satellite position system built up by our country
which can provide rapidly not only highly precision position and brevity telegram service. However
when the vehicles go around the tall buildings
high mountain area
wayside trees and in the tunnels
all signal may not be received. If the satellite navigation position system is used only
the precision will be reduced. Therefore
this paper proposes a nonlinear self-adaptive Kalman filter model and its algorithm for a Double-star/DR integrated navigation system in land vehicles
and verifies effectively the algorithm and scheme through the means of simulation. Next
this paper introduces map match approach. The roads are segmented and character information is brought out. Then
proper search rules and map match algorithm are adopted. According to the current vehicle position information that Double-Star/DR system provides
the nearest road can be found in the map database. The vehicle position will be matched and displayed on the road. The result of the experiment shows that the Double-star/DR integrated algorithm and map match can improve reliability and the precision of vehicle navigation system efficiently.
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