Search Results for "include"

ArduPilot is an open-source autopilot platform for autonomous and remotely operated vehicles. It supports airplanes, multicopters, helicopters, rovers, boats, submarines, balance bots, and other specialized vehicle types. Separate vehicle stacks include ArduPlane, ArduCopter, Rover, ArduSub, and Antenna Tracker. The software provides manual-assisted modes as well as fully autonomous missions with waypoint navigation and scripted behavior. Advanced failsafes can react to lost control links, low batteries, positioning problems, and other system failures. MAVLink telemetry connects vehicles with ground stations and companion computers for configuration, monitoring, and mission control. ...

...The project is designed to teach aircraft stabilization and flight-control concepts while remaining easy to modify. Its primary hardware platform uses a Teensy 4.0 microcontroller and an MPU6050 six-axis IMU. Features include receiver input handling, IMU calibration, ESC calibration, motor arming, and customizable control logic. Because the code is easy to edit in the Arduino ecosystem, experimental aircraft behaviors can be added quickly. The project is intended mainly for education and rapid prototyping rather than commercial flight-control deployment.

...It covers application configuration, standardized responses, logging, database access, authentication, background tasks, and deployment. MySQL and Redis examples demonstrate relational storage and caching workflows. Authentication examples include JWT, mobile verification codes, and WeChat-based login scenarios. Reporting modules generate Excel, Word, PDF, and hierarchical tree outputs. Celery, APScheduler, unit tests, coverage reports, Docker, Gunicorn, Nginx, and Drone CI demonstrate supporting infrastructure around the API. The repository is organized as a collection of real backend patterns rather than a single narrowly focused service.

...It focuses on robust autonomous navigation using lidar rather than relying primarily on vision. The system includes mapping, HD-map localization, path planning, obstacle handling, and aircraft-control modules. Localization components include NDT and ICP approaches, with GPU acceleration available for selected algorithms. Simulation support integrates lidar, stereo cameras, PX4, Gazebo, and AirSim environments. Its modular C++ architecture allows individual autonomy components to be replaced or extended. The repository targets research rather than production aviation and reflects an older robotics stack centered on Ubuntu 18.04 and ROS Melodic.