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这里写文章的前言: 一个简单的开头,简述这篇文章讨论的问题、目标、人物、背景是什么?并简述你给出的答案。
可以说说你的故事:阻碍、努力、结果成果,意外与转折。
  1. The updated PPT;
  1. Three video clips recording of the current experiment result.
  1. The issues and challenges to be discussed.
 
Here’s a slide‑by‑slide outline you can drop into your PPT to walk your boss through this week’s code work. Feel free to adapt or reorder as you like:

Slide 1: Title & Context
  • Project: Tello Autonomous Orbit & Precision Landing
  • Date: Week of July 29, 2025
  • Presenter: Qiyue Chen (Embedded AI Intern, CTI One)

Slide 2: Objectives
  • Build a reliable orbiting routine around a mission pad
  • Layered precision‑landing capability down to 10 cm
  • Comprehensive flight‑data logging for post‑flight analysis
  • Real‑time visual overlay of telemetry

Slide 3: High‑Level Architecture
  • main.py orchestrates mission phases
  • drone_interface.py abstracts Tello SDK calls & state reader
  • pad_tracker.py handles AprilTag pad detection & centering
  • pid_controller.py computes velocity commands from errors
  • precision_landing.py drives the multi‑layer descent logic
  • logger.py captures timestamped CSV logs
  • video_overlay.py renders pad/metrics overlay on live feed

Slide 4: PID‑Based Orbit Control
  • PIDController class with tunable Kp/Ki/Kd parameters
  • In orbit_phase(), read pad offset → feed into PID → issue velocity commands
  • Dynamically adjust threshold based on pad loss timeout (configurable)
  • Benefit: smooth, stable circling even with intermittent pad visibility

Slide 5: Multi‑Layer Precision Landing
  • Layer definitions from config.LAND_ALTITUDES (e.g. 120 cm → 50 cm → 20 cm)
  • Alignment loop at each layer:
    • Run up to LAND_ALIGNMENT_ITERATIONS, check centering error ≤ LAND_CONV_RADIUS
    • Fine‑tune X/Y before descending
  • Descent control:
    • Fixed step LAND_DESCENT_DISTANCE per iteration
    • Delay LAND_DESCENT_DELAY for stability
  • Benefit: avoids drift, ensures pad‑centered touchdown

Slide 6: Flight Data Logging
  • FlightLogger class writes CSV with fields:
    • time, padx, pady, error_x, error_y, vx, vy, vz, h, tof, cam
  • start() / log() / log_step() / close() API
  • Logs on every control loop iteration
  • Benefit: detailed post‑flight charts, error‑trend analysis, regression testing

Slide 7: Video Overlay & Telemetry
  • video_overlay.py runs in its own thread
  • Draws pad bounding box, centering error, current altitude & velocities
  • Provides live feedback to operator during test flights
  • Benefit: immediate visual confirmation of control logic

Slide 8: Robust Error Handling & Cleanup
  • Exception traps around orbit & landing phases
  • emergency_land() on any unhandled error
  • Always call logger.close(), stop_state_reader(), cleanup_sockets()
  • Ensures no dangling threads or lost logs

Slide 9: Key Challenges & Solutions
  • NameErrors in logger/precision code → unified single FlightLogger instance passed through modules
  • Method mismatches (e.g. missing start_time, undefined variables) → aligned function signatures
  • Pad detection noise → dynamic thresholds and retry loops

Slide 10: Next Steps
  • PID tuning with live flight data (adjust Kp/Ki/Kd per altitude layer)
  • Simulation harness to automate orbit & landing tests
  • Sensor fusion (optical‑flow + ToF) for wind‑disturbance compensation
  • Dashboard for post‑flight CSV charting & performance KPIs

Slide 11: Repo & Resources
  • Config docs: covers all config.py parameters
  • Test logs: under log/flight_log_*.csv
Slide 12: Questions & Feedback
  • Open floor for any clarifications or feature requests

Feel free to copy these bullets directly into your slides. Good luck with your presentation!
  • Start Mission
  • Initialize & Takeoff
  • Start Video Streaming Thread
    • [Side branch/annotation]
      • OpenCV real-time overlay
        YOLACT Edge (AI detection) integration — In Progress
  • Move to Orbit Start Position
  • Begin Orbit (PID Control)
    • (loop until orbit complete)
  • Start Layered Precision Landing
  • For each layer:
    • Descend to Target Altitude
    • Is Pad Detected?
      • YesBegin Alignment & Landing
      • NoAuto-Search Pattern
        • Is Pad Detected?
          • YesBegin Alignment & Landing
          • NoManual Keyboard Control
            • (WASD/arrows, system monitors for pad, press ‘L’ to resume)
    • Descend to Next Layer (repeat)
  • Land
 
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Jeremy Chen
Jeremy Chen
FPGA Engineer, Cloud Solution Engineer, Georgia Tech MS
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