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360 avoidance

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  • wilkinsafW Offline
    wilkinsafW Offline
    wilkinsaf
    ModalAI Team
    wrote on last edited by
    #1

    If I wanted to get 360 degree obstacle avoidance. What is the recommended path to do so?

    front and back stereo depth? two TOF? outside sensor?

    ModeratorM 1 Reply Last reply
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    • wilkinsafW wilkinsaf

      If I wanted to get 360 degree obstacle avoidance. What is the recommended path to do so?

      front and back stereo depth? two TOF? outside sensor?

      ModeratorM Offline
      ModeratorM Offline
      Moderator
      ModalAI Team
      wrote on last edited by
      #2

      @wilkinsaf is this for indoor or outdoor avoidance?

      wilkinsafW 1 Reply Last reply
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      • ModeratorM Moderator

        @wilkinsaf is this for indoor or outdoor avoidance?

        wilkinsafW Offline
        wilkinsafW Offline
        wilkinsaf
        ModalAI Team
        wrote on last edited by
        #3

        @Moderator Indoor

        James StrawsonJ 1 Reply Last reply
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        • wilkinsafW wilkinsaf

          @Moderator Indoor

          James StrawsonJ Offline
          James StrawsonJ Offline
          James Strawson
          ModalAI Team
          wrote on last edited by
          #4

          @wilkinsaf voxl-vision-hub's configuration file can be modified to subscribe to multiple sources of relevant data. By default it it set up to consume point cloud data from voxl-dfs-server (stereo cameras on Sentinel and M500), TOF data from PMD TOF sensors (Seeker, Starling, and Starling 2), as well as VL53L1CX mini rangefinders. Data from all concurrent sources are merged together and passed to the autopilot as an obstacle_distance message over mavlink.

          Multiple of the VL53L1CX rangefinders can be set up using the open-source voxl-rangefinder-server https://docs.modalai.com/rangefinders/

          However, you can integrate any sensor you like by publishing one of the above 3 MPA types that voxl-vision-hub can consume.

          wilkinsafW 1 Reply Last reply
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          • James StrawsonJ James Strawson

            @wilkinsaf voxl-vision-hub's configuration file can be modified to subscribe to multiple sources of relevant data. By default it it set up to consume point cloud data from voxl-dfs-server (stereo cameras on Sentinel and M500), TOF data from PMD TOF sensors (Seeker, Starling, and Starling 2), as well as VL53L1CX mini rangefinders. Data from all concurrent sources are merged together and passed to the autopilot as an obstacle_distance message over mavlink.

            Multiple of the VL53L1CX rangefinders can be set up using the open-source voxl-rangefinder-server https://docs.modalai.com/rangefinders/

            However, you can integrate any sensor you like by publishing one of the above 3 MPA types that voxl-vision-hub can consume.

            wilkinsafW Offline
            wilkinsafW Offline
            wilkinsaf
            ModalAI Team
            wrote on last edited by
            #5

            @James-Strawson This is perfect! Thank you James!

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