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    Flying Predetermined Course in GPS-Denied Environments

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    • todd45040T
      todd45040
      last edited by

      We just received our new M500 and are trying to get up to speed on using the platform. I would like to have the M500 autonomously fly a simple predetermined rectangular course 6'x30' and do some simple (single item) object detection of something like rubber duckies along the way. My thought is to physically model the course and then use the flight logs to setup up and new, autonomous mission plan and complete the course searching for the objects.

      Does this approach seem reasonable, or is there a better way to approach the task?

      Thanks,

      -Todd

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      • modaltbM
        modaltb ModalAI Team
        last edited by

        Hey @todd45040 ,

        Sorry for the lag, and you may be past this stage by now, but yes that looks decent!

        I'm myself not so involved on the object detection front but can comment first on the navigation part. Here's a simple example using GSP denied nav (VIO via IMU and tracking sensor) with python in a docker container on the VOXL

        --> https://gitlab.com/voxl-public/voxl-docker-images/voxl-docker-mavsdk-python/-/blob/master/offboard_position_ned2.py#L29

        We're basically setting waypoints in X,Y,Z, which could be a good starting point.

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        • todd45040T
          todd45040
          last edited by

          Thanks for the info., it's not too late. We will work the task in the upcoming week.

          We'll make a few attempts and report back our outcome.

          Thanks again,

          -Todd

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