360 avoidance
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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?
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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?
@wilkinsaf is this for indoor or outdoor avoidance?
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@wilkinsaf is this for indoor or outdoor avoidance?
@Moderator Indoor
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@Moderator Indoor
@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.
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@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.
@James-Strawson This is perfect! Thank you James!
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