A navigation map construction method for mobile robots in complex indoor environments
A mobile robot and navigation map technology, applied in the field of robotics, can solve problems such as unrecognizable glass objects
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Embodiment 1
[0050] The first embodiment of the present invention relates to a method for constructing a navigation map of a mobile robot in a complex indoor environment, the process of which is as follows figure 1 as shown,
[0051] This embodiment is implemented by using the mobile platform in the office environment of the teaching building, and the platform is composed as follows figure 2 As shown, the office environment of the teaching building is as follows image 3 As shown, the office environment of the teaching building is mainly composed of corridors and glass. One of the corridors is close to the outer wall of the teaching building, so one side is a wall and the other side is a glass fence. When the mobile platform is performing mapping operations in this corridor, the laser The laser emitted by the radar can only return to the lidar within a small angle range due to the mirror reflection of the glass fence, so the distance information of the glass cannot be obtained, so only t...
Embodiment 2
[0063] Further, the second embodiment of the present invention relates to a method for constructing a navigation map of a mobile robot in a complex indoor environment, which specifically includes the following steps:
[0064] Step A1: Use the laser radar, odometer, and depth camera to work simultaneously to obtain the robot's own pose information and environmental information. The depth cameras are set at different angles and the number of depth cameras is multiple;
[0065] Specifically, in the ROS environment, the laser radar is used to emit laser light and receive the returned laser light to obtain the obstacle information of the surrounding obstacles except glass; the odometer is used to obtain the speed, position and corner information of the mobile platform; the depth camera is used to obtain the environment RGB image information, publish topics and summarize the topics into rosbag, so as to complete the collection of the robot's own pose and environmental information.
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