1. 源由

从稳定性，社区群体，以及开源方式的角度看，Ardupilot是不错的选择之一。

主要有以下几个特点：

【操控性】手动
【稳定性】自动导航
【安全性】异常场景
【普及性】社区受众群体广泛

为了更好的实现智能飞行，就需要融合传感和空间感知技术。这些内容显然并非当前任意一个飞控软件能解决的，更多依赖计算能力更强大的伴机电脑系统。

在入手companion computer之前，就Ardupilot生态圈内部提供的几个伴机方案进行研习和分析。

伴机电脑就选个手边简单的板子吧，主要还是分析软件这块内容。！

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2. 伴机系统

APSync
DroneKit
FlytOS
Maverick
ROS
Rpanion-server

注：这里仅根据companion computer提供的信息进行简单分析。

2.1 APSync

【1】APSync介绍
【2】APSync代码

WiFi电传

WiFi Access Point
UDP Telemetry (port:14550)
Log Download Script

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WEB配置

View and modify parameters
View sensor information and trigger some calibrations
Modify the Wifi access point name and password
View and download log files if they are stored on the companion computer
URL http://10.0.1.128

在这里插入图片描述 - 视频传输

video stream
http://10.0.1.128:8000

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从上面特性看，更像一个摄像头+电传模块的功能集成。

2.2 DroneKit

【1】DroneKit介绍
【2】DroneKit代码

该开发工具主要应用python编程，支持Ardupilot的MAVLink接口，详见：API资料

Connect to a vehicle (or multiple vehicles) from a script
Get and set vehicle state/telemetry and parameter information.
Receive asynchronous notification of state changes.
Guide a UAV to specified position (GUIDED mode).
Send arbitrary custom messages to control UAV movement and other hardware (GUIDED mode).
Create and manage waypoint missions (AUTO mode).
Override RC channel settings.

2.3 FlytOS

【1】FlytOS介绍

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该系统方案分析了众多应用场景，从行业应用的角度做了平台整合。

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显然，这个是商业运作，开源代码是木有的，呵呵。

2.4 Maverick

【1】 Maverick介绍
【2】Maverick代码

该系统从功能角度来说很多：

Downloadable, ready to flash, ready to fly images for Raspberry Pi (all models), NVidia Tegra TX1/TX2, Up (Up, Squared, Core), Odroid XU4, Intel Joule
Downloadable VM image for developers in OVA (Open Virtual Appliance) and Parallels formats, should run in VirtualBox, VMware, Parallels etc
Permissive MIT licensing, absolute minimum restrictions on opensource or commercial usage
Ability to bootstrap from any donor/vendor OS (only Debian/Ubuntu based OS supported so far, but possible to support any base OS) and create custom images
Single ‘maverick’ command provides system/network info, self updating, system configuration, service control
Self-contained, consistent software environments and versions across different platforms
Automatic detection and configuration of platform hardware and peripherals
Easy modular network configuration including managed wireless, monitor/injection, Host Access Point, Avahi, Dnsmasq, DHCP client/server, wifibroadcast
Built-in security, firewall, antivirus, scanners
Selective, modular Mavlink proxy, Dronekit and MAVROS configuration, supports MAVProxy, mavlink-router, cmavnode
Rich web-based IDE (Integrated Development Environment) - Cloud9
Full SITL environment with separate mavlink proxy, dronekit and MAVROS instances
Extensive consistent software components installed on all platforms - ROS Kinetic/Lunar, ROS2, Tensorflow 1.3, OpenCV 3.4, Gstreamer 1.12.4, FPV video (visiond, camera-streaming-daemon), Orb_slam2, RTABMAP, Aruco
ArduPllot development environment, compiled ArduPilot for SITL, everything necessary setup to compile and upload to Flight Controllers direct from companion computer
PX4 development environment, compiled PX4 for SITL, everything necessary setup to compile and upload to Flight Controllers direct from companion computer
Vision functions - automatic detection and configuration of attached digital cameras for FPV (visiond), Precision Landing with vision_landing, experimental collision avoidance with RealSense depth cameras, Thermal Image streaming with Seek Thermal and Flir One devices, experimental SLAM components ORB_SLAM2 and RTABMAP

在这里插入图片描述但是从整体架构上不难看出围绕MAVLink/ROS/Vision在做数据分析，是一个整合的系统。

注：最近一次更新Nov 12, 2021，感觉有点缺少维护了。

2.5 ROS

【1】ROS介绍
【2】ROS代码

ROS(Robot Operating System)是机器人操作系统。因为SLAM (Simultaneous Localization and Mapping)/Vision等传感器和空间定位技术的应用，随着MAVROS组件的发展，现在这块非常热门。

这里不多做介绍，其系统也是非常庞大的。
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2.6 Rpanion-server

【1】Rpanion-server介绍
【2】Rpanion-server代码

Flight Controller telemetry routing to udp outputs
Video Streaming via an RTSP server
Network configuration
NTRIP Streaming
Logging (tlog and bin logs)

该服务是基于node.js开发的，其最终应用的还是MAVLink与飞控通信。鉴于其SBC可以做视频RTSP服务，因此可以进行相关视频图像流处理。