"ardrone_autonomy" is a ROS driver for Parrot AR-Drone quadrocopter. This driver is based on official AR-Drone SDK version 2.0 and supports both AR-Drone 1.0 and 2.0. "ardrone_autonomy" is a fork of AR-Drone Brown driver. This package has been developed in Autonomy Lab of Simon Fraser University by Mani Monajjemi.
- Updates
- Installation
- How to Run
- Reading from AR-Drone
- Sending Commands to AR-Drone
- Hover Modes π
- Coordinate Frames
- Services
- Parameters
- License
- Contributors
- FAQ
- January 9 2013: ROS Groovy support. Support for zero-command without hovering (More info). Full configurable Navdata support (More info). Support for "Flight Animations". Support for Real-time navdata and video publishing (More info). Support for configurable data publishing rate.
- November 9 2012: Critical Bug in sending configurations to drone fixed and more parameters are supported (More info). Separate topic for magnetometer data added (More info).
- September 5 2012: Experimental automatic IMU bias removal.
- August 27 2012: Thread-safe SDK data access. Synchronized
navdata
andcamera
topics. - August 20 2012: The driver is now provides ROS standard camera interface.
- August 17 2012: Experimental
tf
support added. New published topicimu
. - August 1 2012: Enhanced
Navdata
message.Navdata
now includes magnetometer data, barometer data, temperature and wind information for AR-Drone 2. Issue #2 - July 27 2012: LED Animation Support added to the driver as a service
- July 19 2012: Initial Public Release
This driver has been tested on Linux machines running Ubuntu 11.10, 12.04 & 12.10 (32 bit and 64 bit). However it should also work on any other mainstream Linux distribution. The driver has been tested on both ROS "electric" and "fuerte". The AR-Drone SDK has its own build system which usually handles system wide dependencies itself. The ROS package depends on these standard ROS packages: roscpp
, image_transport
, sensor_msgs
, tf
, camera_info_manager
and std_srvs
.
The installation follows the same steps needed usually to compile a ROS driver.
-
Get the code: Clone (or download and unpack) the driver to your personal ROS stacks folder (e.g. ~/ros/stacks) and
cd
to it. Please make sure that this folder is in yourROS_PACKAGE_PATH
environmental variable.```bash $ cd ~/ros/stacks $ git clone https://github.com/AutonomyLab/ardrone_autonomy.git $ rosstack profile && rospack profile $ roscd ardrone_autonomy ```
NOTE (For advanced users): Instead of the master
branch you can use the dev-unstable
branch for the latest unstable code which may contain bug fixes or new features. This is the branch that all developments happen on. Please use this branch to submit pull requests.
-
Compile the AR-Drone SDK: The driver contains a slightly patched version of AR-Drone 2.0 SDK which is located in
ARDroneLib
directory. To compile it, execute the./build_sdk.sh
. Any system-wide dependency will be managed by the SDK's build script. You may be asked to install some packages during the installation procedure (e.gdaemontools
). You can verify the success of the SDK's build by checking thelib
folder.```bash $ ./build_sdk $ [After a couple of minutes] $ ls ./lib libavcodec.a libavformat.a libpc_ardrone_notool.a libvlib.a libavdevice.a libavutil.a libsdk.a libavfilter.a libpc_ardrone.a libswscale.a ```
-
Compile the driver: You can easily compile the driver by using
rosmake ardrone_autonomy
command.
The driver's executable node is ardrone_driver
. You can either use rosrun ardrone_autonomy ardrone_driver
or put it in a custom launch file with your desired parameters.
Drone Update Frequencies: The drone's data transmission update frequency depends on navdata_demo
parameter. When it is 1, the transmission frequency will be 15Hz, otherwise it will be 200Hz. (navdata_demo
is a numeric parameter not Boolean, so use 1 and 0 (not True/False) to set/unset it)
Driver Update Frequencies: The driver can operate in two modes: real-time or fixed rate. When the realtime_navdata
parameter is set to True, the driver will publish the received information instantly. However when it is set to False, the driver will cache the most recent received data, then it will publish that at a fixed rate, configured by looprate
parameter. The default configuration is: realtime_navdata=False
and looprate=50
.
Please note that if the looprate
is smaller than the drone's transmission frequency, there will be data loss. The driver's start-up output shows the current configuration. You can also use rostopic hz
command to check the publish rate of the driver.
# Default Setting - 50Hz non-realtime update, the drone transmission rate is 200Hz rosrun ardrone_autonomy ardrone_driver _realtime_navdata:=False _navdata_demo:=0 # 200Hz real-time update rosrun ardrone_autonomy ardrone_driver _realtime_navdata:=True _navdata_demo:=0 # 15Hz real-rime update rosrun ardrone_autonomy ardrone_driver _realtime_navdata:=True _navdata_demo:=1
Information received from the drone will be published to the ardrone/navdata
topic. The message type is ardrone_autonomy::Navdata
and contains the following information:
header
: ROS message headerbatteryPercent
: The remaining charge of the drone's battery (%)state
: The Drone's current state: * 0: Unknown * 1: Inited * 2: Landed * 3,7: Flying * 4: Hovering * 5: Test (?) * 6: Taking off * 8: Landing * 9: Looping (?)rotX
: Left/right tilt in degrees (rotation about the X axis)rotY
: Forward/backward tilt in degrees (rotation about the Y axis)rotZ
: Orientation in degrees (rotation about the Z axis)magX
,magY
,magZ
: Magnetometer readings (AR-Drone 2.0 Only) (TBA: Convention)pressure
: Pressure sensed by Drone's barometer (AR-Drone 2.0 Only) (TBA: Unit)temp
: Temperature sensed by Drone's sensor (AR-Drone 2.0 Only) (TBA: Unit)wind_speed
: Estimated wind speed (AR-Drone 2.0 Only) (TBA: Unit)wind_angle
: Estimated wind angle (AR-Drone 2.0 Only) (TBA: Unit)wind_comp_angle
: Estimated wind angle compensation (AR-Drone 2.0 Only) (TBA: Unit)altd
: Estimated altitude (mm)vx
,vy
,vz
: Linear velocity (mm/s) [TBA: Convention]ax
,ay
,az
: Linear acceleration (g) [TBA: Convention]tm
: Timestamp of the data returned by the Drone returned as number of micro-seconds passed since Drone's boot-up.
NOTE: The legacy Navdata publishing can be disabled by setting the enable_legacy_navdata
parameter to False
(legacy navdata is enabled by default).
The linear acceleration, angular velocity and orientation from the Navdata
is also published to a standard ROS sensor_msgs/Imu
message. The units are all metric and the reference frame is in Base
frame. This topic is experimental. The covariance values are specified by specific parameters.
The normalized magnetometer readings are also published to ardrone/mag
topic as a standard ROS geometry_msgs/Vector3Stamped
message.
You can access almost all sensor readings, debug values and status reports sent from the AR-Drone by using "Selective Navdata". If you set any of following parameters to "True", their corresponding Navdata
information will be published to a separate topic. For example if you enable enable_navdata_time
, the driver will publish AR-Drone time information to ardrone/navdata_time
topic. Most of the names are self-explanatory. Please consult AR-Drone SDK 2.0's documentation (or source code) for more information. All parameters are set to False by default.
enable_navdata_trims enable_navdata_rc_references enable_navdata_pwm enable_navdata_altitude enable_navdata_vision_raw enable_navdata_vision_of enable_navdata_vision enable_navdata_vision_perf enable_navdata_trackers_send enable_navdata_vision_detect enable_navdata_watchdog enable_navdata_adc_data_frame enable_navdata_video_stream enable_navdata_games enable_navdata_pressure_raw enable_navdata_magneto enable_navdata_wind_speed enable_navdata_kalman_pressure enable_navdata_hdvideo_stream enable_navdata_wifi enable_navdata_zimmu_3000
HINT: You can rostopic type ardrone/navdata_time | rosmsg show
command for each topic to inspect its published message's data structure.
Both AR-Drone 1.0 and 2.0 are equipped with two cameras. One frontal camera pointing forward and one vertical camera pointing downward. This driver will create three topics for each drone: ardrone/image_raw
, ardrone/front/image_raw
and ardrone/bottom/image_raw
. Each of these three are standard ROS camera interface and publish messages of type image transport. The driver is also a standard ROS camera driver, therefor if camera calibration information is provided either as a set of ROS parameters or appropriate ardrone_front.yaml
and/or ardrone_bottom.yaml
, the information will be published in appropriate camera_info
topics. Please check the FAQ section for more information.
-
The
ardrone/*
will always contain the selected camera's video stream and information. -
The way that the other two streams work depend on the type of Drone.
- Drone 1
Drone 1 supports four modes of video streams: Front camera only, bottom camera only, front camera with bottom camera inside (picture in picture) and bottom camera with front camera inside (picture in picture). According to active configuration mode, the driver decomposes the PIP stream and publishes pure front/bottom streams to corresponding topics. The
camera_info
topic will include the correct image size.- Drone 2
Drone 2 does not support PIP feature anymore, therefore only one of
ardrone/front
orardrone/bottom
topics will be updated based on which camera is selected at the time.
The Navdata
message also returns the special tags that are detected by the Drone's on-board vision processing system. To learn more about the system and the way it works please consult AR-Drone SDK 2.0's developers guide. These tags are being detected on both drone's video cameras on-board at 30fps. To configure (or disable) this feature look at the "Parameters" section in this documentation.
The detected tags' type and position in Drone's camera frame will be published to the following variables in Navdata
message:
tags_count
: The number of detected tags.tags_type[]
: Vector of types of detected tags (details below)tags_xc[]
,tags_yc[]
,tags_width[]
,tags_height[]
: Vector of position components and size components for each tag. These numbers are expressed in numbers between [0,1000]. You need to convert them back to pixel unit using the corresponding camera's resolution (can be obtained frontcamera_info
topic).tags_orientation[]
: For the tags that support orientation, this is the vector that contains the tag orientation expressed in degrees [0..360).
By default, the driver will configure the drone to look for oriented roundels using bottom camera and 2D tags v2 on indoor shells (orange-yellow) using front camera. For information on how to extract information from tags_type
field. Check the FAQ section in the end.
TBA.
The drone will takeoff, land or emergency stop/reset by publishing an Empty
ROS messages to the following topics: ardrone/takeoff
, ardrone/land
and ardrone/reset
respectively.
In order to fly the drone after takeoff, you can publish a message of type geometry_msgs::Twist
to the cmd_vel
topic.
-linear.x: move backward
+linear.x: move forward
-linear.y: move right
+linear.y: move left
-linear.z: move down
+linear.z: move up
-angular.z: turn left
+angular.z: turn right
The range for each component should be between -1.0 and 1.0. The maximum range can be configured using ROS parameters discussed later in this document.
geometry_msgs::Twist
has two other member variable called angular.x
and angular.y
which can be used to enable/disable "auto-hover" mode. "auto-hover" is enabled when all six components are set to zero. If you want the drone not to enter "auto hover" mode in cases you set the first four components to zero, set angular.x
and angular.y
to arbitrary non-zero values.
The driver publishes two tf
transforms between three reference frames: ${tf_prefix}/${base_prefix}_link
, ${tf_prefix}/${base_prefix}_frontcam
and ${tf_prefix}/${base_prefix}_bottomcam
. The ${tf_prefix}
is ROS standard way to handle multi-robot tf
trees and can be set using tf_prefix
parameters, by default it is empty. The ${base_link}
is the shared name prefix of all three reference frames and can also be set using parameters, by default it has the value of ardrone_base
. Using default parameters, the three frames would be: ardrone_base_link
, ardrone_base_frontcam
and ardrone_base_bottomcam
. By default the root frame is ardrone_base_link
. Therefor ardrone_base_frontcam
and ardrone_base_bottomcam
are children of ardrone_base_link
in the published tf
tree. This can be changed using root_frame
parameter.
The frame_id
field in header of all published topics (navdata, imu, cameras) will have the appropriate frame names. All frames are ROS REP 103 compatible.
Calling ardrone/togglecam
service with no parameters will change the active video camera stream. (e.g rosservice call /ardrone/togglecam
).
ardrone/setcamchannel
service directly sets the current active camera channel. One parameter (uint8 channel
) should be sent to this service. For AR-Drone 1.0 the valid values are [0..3] and for AR-Drone 2.0 the valid values are [0..1]. The order is similar to the order described in "Cameras" section.
Calling ardrone/setledanimation
service will invoke one of 14 pre-defined LED animations for the drone. The parameters are
uint8 type
: The type of animation which is a number in range [0..13]float32 freq
: The frequency of the animation in Hzuint8 duration
: The duration of the animation in Seconds.
The type
parameter will map [in order] to one of these animations (check srv/LedAnim.srv
for more details):
BLINK_GREEN_RED, BLINK_GREEN, BLINK_RED, BLINK_ORANGE,
SNAKE_GREEN_RED, FIRE, STANDARD, RED, GREEN, RED_SNAKE,BLANK,
LEFT_GREEN_RIGHT_RED, LEFT_RED_RIGHT_GREEN, BLINK_STANDARD`
You can test these animations in command line using commands like rosservice call /ardrone/setledanimation 1 4 5
Calling ardrone/setflightanimation
service will execute one of 20 pre-defined flight animations for the drone. The parameters are:
uint8 type
: The type of flight animation, a number in range [0..19]uint16 duration
: The duration of the animation. Use 0 for default duration (recommended)
The type
parameter will map [in order] to one of these pre-defined animations (check srv/FlightAnim.srv
for more details):
ARDRONE_ANIM_PHI_M30_DEG, ARDRONE_ANIM_PHI_30_DEG, ARDRONE_ANIM_THETA_M30_DEG, ARDRONE_ANIM_THETA_30_DEG,
ARDRONE_ANIM_THETA_20DEG_YAW_200DEG, ARDRONE_ANIM_THETA_20DEG_YAW_M200DEG, ARDRONE_ANIM_TURNAROUND,
ARDRONE_ANIM_TURNAROUND_GODOWN, ARDRONE_ANIM_YAW_SHAKE, ARDRONE_ANIM_YAW_DANCE, ARDRONE_ANIM_PHI_DANCE,
ARDRONE_ANIM_THETA_DANCE, ARDRONE_ANIM_VZ_DANCE, ARDRONE_ANIM_WAVE, ARDRONE_ANIM_PHI_THETA_MIXED,
ARDRONE_ANIM_DOUBLE_PHI_THETA_MIXED, ARDRONE_ANIM_FLIP_AHEAD, ARDRONE_ANIM_FLIP_BEHIND, ARDRONE_ANIM_FLIP_LEFT,
ARDRONE_ANIM_FLIP_RIGHT
You can test these animations in command line using commands like rosservice call /ardrone/setflightanimation 1 0
while drone is flying.
Please be extra cautious about using animations, especially flip animations.
If do_imu_caliberation
parameter is set to true, calling ardrone/imu_recalib
service will make the driver recalculate the biases in IMU data based on data from a short sampling period.
Calling ardrone/flattrim
service without any parameter will send a "Flat Trim" request to AR-Drone to re-calibrate its rotation estimates assuming that it is on a flat surface. Do not call this service while Drone is flying or while the drone is not actually on a flat surface.
The parameters listed below are named according to AR-Drone's SDK 2.0 configuration. Unless you set the parameters using rosparam
or in your launch
file, the default values will be used. These values are applied during driver's initialization phase. Please refer to AR-Drone SDK 2.0's developer's guide for information about valid values. Not all the parameters will be needed during regular usage of the AR-Drone, please consult the example launch file launch/ardrone.launch
for frequent parameters.
altitude, altitude_max, altitude_min, ardrone_name, autonomous_flight, bitrate, bitrate_ctrl_mode,
bitrate_storage, codec_fps, com_watchdog, control_iphone_tilt, control_level, control_vz_max,
control_yaw, detect_type, detections_select_h, detections_select_v, detections_select_v_hsync,
enemy_colors, enemy_without_shell, euler_angle_max, flight_anim, flight_without_shell, flying_mode,
groundstripe_colors, hovering_range, indoor_control_vz_max, indoor_control_yaw, indoor_euler_angle_max,
latitude, leds_anim, longitude, manual_trim, max_bitrate, max_size, navdata_demo, navdata_options,
nb_files, outdoor, outdoor_control_vz_max, outdoor_control_yaw, outdoor_euler_angle_max, output,
owner_mac, ssid_multi_player, ssid_single_player, travelling_enable, travelling_mode, ultrasound_freq,
ultrasound_watchdog, userbox_cmd, video_channel, video_codec, video_enable, video_file_index,
video_live_socket, video_on_usb, video_slices, vision_enable, wifi_mode, wifi_rate
This wiki page includes more information about each of above parameters.
These parameters control the behaviour of the driver.
drone_frame_id
- The "frame_id" prefix to be used in alltf
frame names - default: "ardrone_base"root_frame
- The default root in drone'stf
tree (0: _link, 1: _frontcam, 2: _bottomcam) - Default: 0cov/imu_la
,cov/imu_av
&cov/imu_or
: List of 9 covariance values to be used inimu
's topic linear acceleration, angular velocity and orientation fields respectively - Default: 0.0 for all members (Please check the FAQ section for a sample launch file that shows how to set these values)do_imu_calibration
: [EXPERIMENTAL] Should the drone cancel the biases in IMU data - Default: 0enable_legacy_navdata
: Enable legacyNavdata
publish - Default: True
The Parrot's license, copyright and disclaimer for ARDroneLib
are included with the package and can be found in ParrotLicense.txt
and ParrotCopyrightAndDisclaimer.txt
files respectively. The other parts of the code are subject to BSD
license.
- Mike Hamer - Added support for proper SDK2 way of configuring the Drone via parameter (critical bug fix) (More Info). Support for zero-command without hovering (More info). Full configurable Navdata support (More info). Support for Real-time navdata and video publishing (More info). Support for configurable data publishing rate.
- Jacokb Engel
- Sameer Parekh - Seperate Magnetometer Topic
- Devmax - Flat Trim + Various comments for enhancements
- Rachel Brindle - Enhanced Navdata for AR-Drone 2.0
Where should I go next? Is there any ROS package or stack that can be used as a tutorial/sample to use ardrone_autonomy?
Absolutely. Here are some examples:
"falkor_ardrone" is a ROS package which uses the "ardrone_autonomy" package to implement autonomous control functionality on an AR.Drone.
State Estimation, Autopilot and GUI for ardrone.
This ROS stack includes a series of very basic nodes to show users how to develop applications that use the ardrone_autonomy drivers for the AR drone 1.0 and 2.0 quadrotor robot.
This repository contains the source-code for the Up and flying with the AR.Drone and ROS tutorial series, published on Robohub.
github
offers a nice and convenient issue tracking and social coding platform, it can be used for bug reports and pull/feature request. This is the preferred method. You can also contact the author directly.
If you want to submit a pull request, please submit to dev-unstable
branch.
The ARDrone 2.0 SDK has been patched to 1) Enable the lib only build 2) Make its command parsing compatible with ROS and 3) To fix its weird main()
function issue
The driver has been configured by default to use the maximum bandwidth allowed to ensure the best quality video stream possible (please take a look at default values in parameters section). That is the reason why the picture quality received from Drone 2.0 using this driver is far better than what you usually get using other software. If for any reason you prefer the lower quality* video stream, change bitrate_ctrl_mode
, max_bitrate
and bitrate
parameters to the default values provided by the AR-Drone developer guide.
(*) Please note that lower quality does not mean lower resolution. By configuring AR-Drone to use bitrate control with limits, the picture gets blurry when there is a movement.
Drone 1: 320x240@15fps UVLC Codec Drone 2: 640x360@20fps H264 codec with no record stream
tag_type
contains information for both source and type of each detected tag. In order to extract information from them you can use the following c macros and enums (taken from ardrone_api.h
)
#define DETECTION_EXTRACT_SOURCE(type) ( ((type)>>16) & 0x0FF )
#define DETECTION_EXTRACT_TAG(type) ( (type) & 0x0FF )
typedef enum
{
DETECTION_SOURCE_CAMERA_HORIZONTAL=0, /*<! Tag was detected on the front camera picture */
DETECTION_SOURCE_CAMERA_VERTICAL, /*<! Tag was detected on the vertical camera picture at full speed */
DETECTION_SOURCE_CAMERA_VERTICAL_HSYNC, /*<! Tag was detected on the vertical camera picture inside the horizontal pipeline */
DETECTION_SOURCE_CAMERA_NUM,
} DETECTION_SOURCE_CAMERA;
typedef enum
{
TAG_TYPE_NONE = 0,
TAG_TYPE_SHELL_TAG ,
TAG_TYPE_ROUNDEL ,
TAG_TYPE_ORIENTED_ROUNDEL ,
TAG_TYPE_STRIPE ,
TAG_TYPE_CAP ,
TAG_TYPE_SHELL_TAG_V2 ,
TAG_TYPE_TOWER_SIDE ,
TAG_TYPE_BLACK_ROUNDEL ,
TAG_TYPE_NUM
} TAG_TYPE;
It is easy to calibrate both cameras using ROS Camera Calibration package.
First, run the camera_calibration node with appropriate arguments: (For the bottom camera, replace front with bottom)
rosrun camera_calibration cameracalibrator.py --size [SIZE] --square [SQUARESIZE] image:=/ardrone/front/image_raw camera:=/ardrone/front
After successful calibration, press the commit
button in the UI. The driver will receive the data from the camera calibration node, then will save the information by default in ~/.ros/camera_info/ardrone_front.yaml
. From this point on, whenever you run the driver on the same computer this file will be loaded automatically by the driver and its information will be published to appropriate camera_info
topic. Sample calibration files for AR-Drone 2.0's cameras are provided in data/camera_info
folder.
Yes, you can check the launch
folder for sample lanuch file.
Can I control multiple drones using a single PC? or can I make my drone connect to a wireless router?
With some hacking yes! This wiki page contains some information regarding this issue.
- Make the
tf
publish optional. - Add the currently selected camera name to
Navdata
- [DONE] Add separate topic for drone's debug stream (
navdata_demo
) - [DONE] Make the
togglecam
service accept parameters - [DONE] Enrich
Navdata
with magneto meter and baro meter information