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[submodule "robot/rospackages/src/ouster-ros"] | ||
path = robot/rospackages/src/ouster-ros | ||
url = https://github.com/ouster-lidar/ouster-ros/tree/ros2 | ||
branch = ros2 |
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cmake_minimum_required(VERSION 3.8) | ||
project(beep_autonomy) | ||
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if(CMAKE_COMPILER_IS_GNUCXX OR CMAKE_CXX_COMPILER_ID MATCHES "Clang") | ||
add_compile_options(-Wall -Wextra -Wpedantic) | ||
endif() | ||
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# find dependencies | ||
find_package(ament_cmake REQUIRED) | ||
find_package(xacro REQUIRED) | ||
# uncomment the following section in order to fill in | ||
# further dependencies manually. | ||
# find_package(<dependency> REQUIRED) | ||
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install( | ||
DIRECTORY src launch rviz config world | ||
DESTINATION share/${PROJECT_NAME} | ||
) | ||
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if(BUILD_TESTING) | ||
find_package(ament_lint_auto REQUIRED) | ||
# the following line skips the linter which checks for copyrights | ||
# comment the line when a copyright and license is added to all source files | ||
set(ament_cmake_copyright_FOUND TRUE) | ||
# the following line skips cpplint (only works in a git repo) | ||
# comment the line when this package is in a git repo and when | ||
# a copyright and license is added to all source files | ||
set(ament_cmake_cpplint_FOUND TRUE) | ||
ament_lint_auto_find_test_dependencies() | ||
endif() | ||
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ament_package() |
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### ekf config file ### | ||
ekf_filter_node: | ||
ros__parameters: | ||
# The frequency, in Hz, at which the filter will output a position estimate. Note that the filter will not begin | ||
# computation until it receives at least one message from one of the inputs. It will then run continuously at the | ||
# frequency specified here, regardless of whether it receives more measurements. Defaults to 30 if unspecified. | ||
frequency: 30.0 | ||
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# ekf_localization_node and ukf_localization_node both use a 3D omnidirectional motion model. If this parameter is | ||
# set to true, no 3D information will be used in your state estimate. Use this if you are operating in a planar | ||
# environment and want to ignore the effect of small variations in the ground plane that might otherwise be detected | ||
# by, for example, an IMU. Defaults to false if unspecified. | ||
two_d_mode: false | ||
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# Whether to publish the acceleration state. Defaults to false if unspecified. | ||
publish_acceleration: true | ||
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# Whether to broadcast the transformation over the /tf topic. Defaults to true if unspecified. | ||
publish_tf: true | ||
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# 1. Set the map_frame, odom_frame, and base_link frames to the appropriate frame names for your system. | ||
# 1a. If your system does not have a map_frame, just remove it, and make sure "world_frame" is set to the value of odom_frame. | ||
# 2. If you are fusing continuous position data such as wheel encoder odometry, visual odometry, or IMU data, set "world_frame" | ||
# to your odom_frame value. This is the default behavior for robot_localization's state estimation nodes. | ||
# 3. If you are fusing global absolute position data that is subject to discrete jumps (e.g., GPS or position updates from landmark | ||
# observations) then: | ||
# 3a. Set your "world_frame" to your map_frame value | ||
# 3b. MAKE SURE something else is generating the odom->base_link transform. Note that this can even be another state estimation node | ||
# from robot_localization! However, that instance should *not* fuse the global data. | ||
map_frame: map # Defaults to "map" if unspecified | ||
odom_frame: odom # Defaults to "odom" if unspecified | ||
base_link_frame: base_footprint # Defaults to "base_link" if unspecified | ||
world_frame: odom # Defaults to the value of odom_frame if unspecified | ||
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odom0: odom | ||
odom0_config: [true, true, true, | ||
false, false, false, | ||
false, false, false, | ||
false, false, true, | ||
false, false, false] | ||
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imu0: imu | ||
imu0_config: [false, false, false, | ||
true, true, true, | ||
false, false, false, | ||
false, false, false, | ||
false, false, false] |
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