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From my point of view, the answer really depends on the context you are working in. For example, in most industrial applications when people refer to SLAM navigation, they incorrectly mean Lidar based localization. In fact, SLAM is only applied in the first step, when creating the map. Then, the map is saved as you said and used for the localization. This ...


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I don’t think you need any complex sensing device. You could extend the body of your robot to include a housing which holds an LED, aimed toward the mirror and tilted slightly to the interior of your robot. The extended body would block outside light from interfering with the LED signal. You could place a photodiode in your robot to give a binary signal ...


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Ros tf will solve your problem. In your case, you can use a static tf in which the translation vector is zero and a 90-degree Rotation matrix.


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Your Question is in generall so the answers will be, too. What is your application? It is in Indoor or Outdoor? Do you have a specific SLAM in you mind to use? However, in general, I propose you do not limit your self to monocular cameras. If you are in an indoor environment I propose you RGBD cameras and in an outdoor environment, stereo cameras would be a ...


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That's simple. If you use matlab or opengl what you need to do is just drawing 3 axis at (tx,ty,tz). You need to convert quaternion to rotation matrix. (qx,qy,qz,qw) -> R(3x3 matrix) where each col of R is the axis you need. The axis just a line segment where it start from (tx,ty,tz) and end at (tx+rx,ty+ry,tz+rz). There are libraries for quaternion ...


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You don't say which RPLIDAR you are talking about, but looking at the spec of the RPLIDAR A2M8 (the first hit on google), it has a range of 0.15 m to 12 m, and an angular resolution of between 0.45 and 1.35 degrees. LIDAR in a fixed position in the centre of the room We can use trig to calculate the distance to the corners of the room and convert angular ...


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