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Overview
Audience: All members.
The airside system is an autonomous perception-decision-control system that runs on the drone. The airside system implements the multiprocessing worker model: Python multiprocessing worker model
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More information on autonomous systems in general: Autonomous Systems
Additional resources
System
There are 2 dataflow paths:
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Red: Perception
Orange: Tracking
White: Planning
Green: Control (also perception from drone telemetry)
Blue: Not the responsibility of the system
Workers
General
Worker | Description | Task |
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Flight interface worker | Interfaces with the flight controller. The output of the worker is used for perception and decision making; the input is used for controlling the drone. | Task:
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Video input worker | Interfaces with the camera device. | Task:
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Detect target worker | Detects objects (if any) in images. | Task:
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Decision worker | Builds a model of the world and takes action. | Input list is sorted in descending order of confidence (i.e. index 0 is best, 1 is next best, etc.). Task:
TODO CREATE DECISION WORKER DOCUMENT |
Selection of landing location
Worker | Description | Task |
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Data merge worker | Synchronizes telemetry and detected objects. | Task:
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Geolocation worker | Finds out where the detected object is in the world. | Task:
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Cluster estimation worker | Estimates the location of objects in the world based on groups of detections. | Input list length is the number of simultaneous detections in a single frame. Task:
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Autonomous landing
Worker | Description | Task |
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Autonomous landing worker | Lands on selected landing pad. | Task:
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