Merge branch 'master' of https://github.com/autolaborcenter/navgationkit-docs-sphinx
|
@ -60,7 +60,7 @@
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"name": "清点 - 台式 Mini 计算机 (已停产)",
|
||||
"uri": "version_two/user_guide/quick_start/mini_old"
|
||||
}
|
||||
],
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||||
]
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||||
},
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||||
{
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||||
"name": "组装测试",
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@ -140,7 +140,21 @@
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"uri": "version_two/network/keyboard-plugin"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
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||||
"name": "Kinect V2使用手册",
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||||
"items": [
|
||||
{
|
||||
"name": "简介",
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||||
"uri": "version_two/kinect/introduce"
|
||||
},
|
||||
{
|
||||
"name": "使用",
|
||||
"uri": "version_two/kinect/open"
|
||||
}
|
||||
|
||||
]
|
||||
},
|
||||
]
|
||||
},
|
||||
{
|
||||
|
@ -166,7 +180,7 @@
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|||
"name": "其他",
|
||||
"uri": "common/q_a/doc4"
|
||||
}
|
||||
],
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "操作系统相关",
|
||||
|
|
After Width: | Height: | Size: 19 KiB |
After Width: | Height: | Size: 121 KiB |
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After Width: | Height: | Size: 840 KiB |
After Width: | Height: | Size: 108 KiB |
After Width: | Height: | Size: 53 KiB |
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After Width: | Height: | Size: 98 KiB |
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@ -0,0 +1,39 @@
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|||
# 简介
|
||||
|
||||
## 产品介绍
|
||||
|
||||
Kinect v2是微软发布的一款3D体感摄影机,是一种体感交互设备,
|
||||
可以获取物体的深度信息,判断物体的位置,深度检测是Kinect的核心技术,
|
||||
Kinect v2的深度检测用的是TOF(Time Of Light)的方式:
|
||||
通过红外摄像头投射红外线形成反射光,根据光线飞行时间判断物体位置,形成深度图像。
|
||||
|
||||
## 结构图
|
||||
|
||||
![](imgs/structure-chart01.png)
|
||||
|
||||
![](imgs/structure-chart02.png)
|
||||
|
||||
## 基本参数
|
||||
|
||||
| 项目 | 规格 |
|
||||
| ------------------- | --------------- |
|
||||
| 尺寸 | 24.9cm x 6.6cm x 6.7cm |
|
||||
| 彩色影像 |1920 x 1080 @ 30 / 15 FPS(根据环境亮度) |
|
||||
| 深度影像 | 512 x 424 @ 30 FPS、16bit 距离值(mm)、可侦测范围0.5 ~ 4.5 m|
|
||||
| 红外线影像 | 512 x 424 @ 30 FPS、16bit 强度值 |
|
||||
| FOV | 70°x 60° |
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
|
@ -0,0 +1,89 @@
|
|||
# 启动Kinect ROS驱动
|
||||
|
||||
步骤:
|
||||
* 1.进入工作空间
|
||||
* 方法:在终端执行cd catkin_ws
|
||||
* 2.配置环境变量
|
||||
* 方法:在终端执行source devel/setup.bash
|
||||
* 3.启动驱动
|
||||
* 方法:在终端执行roslaunch kinect2_bridge kinect2_bridge.launch
|
||||
|
||||
![](imgs/structure-chart01.png)
|
||||
|
||||
# 查看Kinect RGB图像
|
||||
|
||||
<b style="color:red;">前提:启动Kinect ROS驱动</b>
|
||||
|
||||
步骤:
|
||||
|
||||
1.进入工作空间
|
||||
方法:在终端执行cd catkin_ws
|
||||
2.配置环境变量
|
||||
方法:在终端执行source devel/setup.bash
|
||||
3.在终端执行命令:rosrun image_view image_view image:=/kinect2/sd/image_color
|
||||
|
||||
![](imgs/RGB-picture01.png)
|
||||
|
||||
# 查看Kinect 深度图像
|
||||
|
||||
<b style="color:red;">前提:启动Kinect ROS驱动</b>
|
||||
|
||||
步骤:
|
||||
|
||||
1.打开终端,输入rviz后弹出rviz窗口,点击窗口左下角【add】
|
||||
|
||||
![](imgs/picture1.png)
|
||||
|
||||
2.点击弹窗中【by topic】- 打开【/kinect2/sd/points】- 选择PointCloud2 -【ok】
|
||||
|
||||
![](imgs/picture2.png)
|
||||
|
||||
3.复制【kinect2_ir_optical_frame】到Global options->Fixed Frame,替换【map】
|
||||
|
||||
![](imgs/picture3.png)
|
||||
|
||||
![](imgs/picture4.png)
|
||||
|
||||
# 在建图/导航/循迹中打开摄像头(查看周围环境)
|
||||
|
||||
<b style="color:red;">以建图为例:</b>
|
||||
|
||||
步骤:
|
||||
|
||||
1.在建图launch文件里引入深度相机的驱动启动,保存
|
||||
|
||||
![](imgs/picture5.png)
|
||||
|
||||
2.启动建图
|
||||
|
||||
rviz里新起一个话题
|
||||
方法:点击左下角【add】,选择【topic】,选择【/kinect2/hd/image_color】,下拉下来选最后一个,然后ctrl+s保存
|
||||
|
||||
![](imgs/picture6.png)
|
||||
|
||||
# 在建图/导航/循迹中显示深度数据
|
||||
|
||||
步骤:
|
||||
|
||||
<b style="color:red;">以建图为例:</b>
|
||||
|
||||
<b style="color:red;">1.将kinect驱动加载到建图launch文件中(方法同上)</b>
|
||||
|
||||
2.rviz里新起一个话题
|
||||
点击左下角【add】,选择【topic】,选择【/kinect2/sd/image_depth】,下拉下来选最后一个,然后ctrl+s保存
|
||||
|
||||
![](imgs/picture7.png)
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|