文件名称:ekf-y-ukf
- 所属分类：
- 行业发展研究
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- [PDF]
- 上传时间：
- 2014-10-29
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- 502kb
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- sthep*****
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The Simultaneous Localisation and Mapping (SLAM)
problem asks if it is possible for a mobile robot to be placed
at an unknown location in an unknown environment and
for the robot to incrementally build a consistent map of
this environment while simultaneously determining its lo-
cation within this map. A solution to the SLAM problem
has been seen as a `holy grail for the mobile robotics com-
munity as it would provide the means to make a robot truly
autonomous.-The Simultaneous Localisation and Mapping (SLAM)
problem asks if it is possible for a mobile robot to be placed
at an unknown location in an unknown environment and
for the robot to incrementally build a consistent map of
this environment while simultaneously determining its lo-
cation within this map. A solution to the SLAM problem
has been seen as a `holy grail for the mobile robotics com-
munity as it would provide the means to make a robot truly
autonomous.
problem asks if it is possible for a mobile robot to be placed
at an unknown location in an unknown environment and
for the robot to incrementally build a consistent map of
this environment while simultaneously determining its lo-
cation within this map. A solution to the SLAM problem
has been seen as a `holy grail for the mobile robotics com-
munity as it would provide the means to make a robot truly
autonomous.-The Simultaneous Localisation and Mapping (SLAM)
problem asks if it is possible for a mobile robot to be placed
at an unknown location in an unknown environment and
for the robot to incrementally build a consistent map of
this environment while simultaneously determining its lo-
cation within this map. A solution to the SLAM problem
has been seen as a `holy grail for the mobile robotics com-
munity as it would provide the means to make a robot truly
autonomous.
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ekf y ukf.pdf