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📣 Announcements

✈️ Upcoming Flight Tests

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Project

PM

Notes

Pathing

Balaji Leninrajan Evan Zhao

Airside

Achita Anantachina Herman Gahra

  • Adityya Kaushal Fix restart_workers function and add type checking to workers

    • PR merged

  • Daniel Akira Suzuki Visualize data from flight test log done.

  • Tochi Okoro Autonomous landing module

    • PR up, still working through it

  • Aleksa Misic Cluster estimation labels

    • PR up, close to working

  • Herman Gahra Using message_encode_decode to send MAVlink messages to flight controller

    • will put up a PR later tonight

IMACS

Vibhinn Gautam

  • Working on reviewing PRs from last term - should be done within a week.
    - Seems like RTL button has been merged.
    - UI to change ports/connection also seems nearly complete.

  • I see some tasks on Asana are labeled as ‘in progress’ - who is working on them?

  • Will start assigning tasks from next week onwards as it seems like a lot of tasks are waiting on other subtasks.

Obstacle Avoidance

Vyomm Khanna

  • Spent this week scoping out plans for getting Obstacle Avoidance up correctly, asap.

  • Working to merge a few final PRs that I worked on last term that are almost approved, but still treading carefully due to the big common refactor that affected a lot of Odometry structs in the OA Repo (relatively high coupling) (adding next_wp data also required us to move stuff around in OA’s flight interface and create a new class). Will schedule a meeting with Andrew Shum at the earliest to finalise

  • Documentation for OA will be up by the weekend. Plan is to outline the current approach we’re using (vfh), how we achieve it using the 2D LiDAR, and the data pipelines in place to convert individual LidarDetection Objects into PolarObstacleDensity objects (I liked the airside diagram n will prob include something like that too).

  • Will be ready to schedule a flight test as of next week, when changes merged (have to handle this myself).

  • A cool task would be to have a regularly updating polar visualisation of the Drone’s 2D FOV constantly being transmitted to the ground station while drone flying autonomously (with safe sectors marked green, cluttered with red).

IR Camera + detection

ML

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