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\uD83D\uDDD3 Date

\uD83D\uDC65 Participants

📣 Announcements

  • No meeting next week (reading week)

  • No work session tomorrow

  • Teledyne IR camera: their products are not great for near IR (ours is 940nm), but mostly for longer wavelengths. We will be testing with a traditional camera but without a IR filter (rpi camera)

✈️ Upcoming Flight Tests

  • Geolocation on Houston re-run

    • Goal: test geolocation accuracy at different heights, speeds, and distances from home location

  • Obstacle avoidance

  • Integration onto Pegasus

\uD83D\uDDE3 Discussion topics

Project

PM

Notes

Pathing

Jane Zeng

  • Circle mode done yet?

  • Waypoint circles?

  • Camera FOV + height to search area should be done

Airside

Ashish Agrahari

  • Make a “rudimentary geolocation” using the camera dimensions function, and scaling it. Pixel in image → distance in meters (assuming drone is stopped, flat, camera pointing straight down, and ground is flat)T

Tasks:

ML

Vibhinn Gautam

IMACS

Balaji Leninrajan

Obstacle Avoidance

Vyomm Khanna

  • Implementation of VFH algorithm for obstacle avoidance coming along well.

  • Updated algorithm to process LiDAR readings as a continuous stream instead of a file, display polar histogram after each oscillation (forward and backward)

  • Updated algorithm to output path deflection angle (temporary waypoint direction) based on appropriate candidate valley identified.

  • Wrapping up unit tests, and tweaking formula based on results.

  • Scheduled to work on adding temp waypoints after this

IR Camera + detection

  • Somebody needs to test the Rpi camera + IR filter (in the autonomy drawer, a little silver square) during reading week. Please look for EE members for help to turn on IR emitter

  • Someone research noise reduction in taking pictures/videos in low light environment (since our filter blocks a lot of visible light)

  • Now that the IR filters have arrived, we should label them unless there’s a discernible difference between both models (or if both models havent arrived)

  • Will need to assign tasks related to

✅ Action items

  •  

⤴ Decisions

  • No labels