Ensure that actually only the unreal sysroot is deployed for all C as
well C++ compilations including dependencies. That ensures the server is
NOT anymore linked against the system glibc (which is in Ubuntu22.04
incompatible with the Unreal one). As a consequence no local clang
installation required anymore to build under Linux.
Harmonized naming split into client/server (instead of libcpp and
libstdcpp) to ensure nothing mixed up (and there were things mixed up
before!)
Refactor C# Unreal build using CarlaRules base class to provide common
functionality. Fixing windows build without ROS2 and added intitial
windows build with ROS2
Restrict to one DDS-Domain-Participant for carla-server (Fixes bind
address already in use exception on with ROS2).
Due to continued segfaults in reallocations of MallocBinned2 in
conjunction with ROS2 enforce using AnsiMalloc calls under Linux (see
https://forums.unrealengine.com/t/dealing-with-allocator-mismatches-with-external-libraries/1416830)
Use C++20 to allow for more robust struct initialization (see
https://en.cppreference.com/w/cpp/language/aggregate_initialization),
added Eigen C++20 patches and required CARLA changes to cope with C++20
compilation errors
Be aware: This change requires the Unreal PR
(https://github.com/CarlaUnreal/UnrealEngine/pull/23)
Move forward to g++-13
Minors:
- Fix make clean call
- Update osm2odr commit with build fix
(https://github.com/carla-simulator/sumo/pull/6)
- Update ad-rss to 4.4.5 (supports boost 1.80)
- Fix windows install scripts and forward arguments for building
libcarla
- Adapt codeformat.py to python3 using clang-format-14
* Adding ROS2 manager
* Trying to compile fastDDS in windows, but have problems with dependencies
* Camera sensors connected to ROS2, dependencies disabled temporaly
* Including enum with sensors list
* adding GNSS sensor capture
* adding IMU sensor capture
* adding DVS sensor capture
* adding Lidar sensor capture
* adding SemanticLidar and Radar capture
* adding ObstacleDetector and some fixes
* modify cmakelists, failed to find libatomic
* fixed libatomic
* compile fast-dds with libc++
* fixed compliation fast dds with libcxx
* linked carla with fastdds
* Fixed Fast-DDS lib
Now its compiled to a intermediate lib with a bridge so libstdc++ can be used
* moved all ros2 deps to ros2 folder
renamed types from .cxx to .cpp
* Finally FastDDS compiled and working inside CARLA
* exposed publish function for testing
* fixed code style
* make ros2 optional
* make ros2 optional
* Added defines to compile ROS2 code
* ros image publisher working
* deleted some buffer copies
* Added more topics and ROS2 types
* Adding sensor Transform as argument, and add function to send buffer or serialize and send buffer
* Removing empty buffer from DVS sensor
* fixed lidar publisher
* fixed lidar publisher
* Fix buffer of RGB in ROS2
* adding timestamp of each frame into ROS2 manager
* sending timestamps with frame to ROS2
* put apart timestamp from frame counter call
* adding BufferView to share buffers
* adding BufferView to share buffers
* adding ros_name attribute to all actors
* mapping ros_name for each actor
* ROS2 is now published in a different thread
Publishers now can be created on demand and be reused
Added subscriber for ego vehicle
Fixed build scripts
* forgot to add this fix
* add ros2 to windows scripts
* fixed default ros topic names
* fix topic name duplication
* Adding functions for enable/disable sensors publishing without listen to it
* Added Camera info and ROI types
RGB Camera now publishes in both topics
* move camera info immutable data to the constructor
* Publish transform for all topics
Create Camera DVS subtopics
Fixed bug with Lidar
* Added flip Y to semantic lidar
* Adding callbacks for subscribers from Unreal
* Adding camera info to ROS2 (resolution and FOV)
* Finished ROS2 naming from python
* Fixed bug with ros names
* Delete topics when deleting the sensors
* setting the rosname same as default no longer rewrites it
* ROS transform fix
* Added all camera topics with the image and camera info
Added vehicle control
Added clock publisher
* Change ros2 topic names for vehicle subscriber and clock publisher
* Rename vehicle control ros2 topic name
* rename subscriber type to CarlaEgoVehicleControl
* Fix semantic lidar default ros name
Fix sizeof the semantic lidar data buffer
* Changed controller stored as string to pointer
* Back to previous version for default hero ros name
Removed debug prints
* Remvoe callback when ego publisher disconnects
* Serializing DVS data before sending to ROS
* dvs camera image and lidar
* DVS Pointcloud publishing
* Remove unnecessary fields
* Send local transforms to ros
* avoid transform recalculation if not needed
* Optical Flow Camera fixed
* Set fixed branch for Fast-DDS to avoid cmake version change issues
* Finally Working on package
* Fix style from FastDDS auto generated files
* Added ros2 to ubuntu in jenkins
* removed ros2 from jenkins, test
* restore ros2 in jenkins
* fix copy shareds, and removed server dependency from libcarla
* test installing the fastdds dependencies in jenkins
* move installing deps to separate stage
* removed install deps
* Fixing test_benchmark_streaming
* Fixed imu orientation and camera info data
* Fixing test_benchmark_streaming.cpp with BufferView
* Removing DEBUG_ONLY()
* publish collision sensor
* Fixing unit-tests with the new BufferView
* camera info is set once
* Fix echo camera info
* fix transform rotation
* Fixing ros_name attribute creation
* fixed camera info and region of interest publish
* fix IMU compass
* Forgot to add ros2 flag to jenkins package
---------
Co-authored-by: bernatx <bernatx@gmail.com>
No feature of cmake newer than 3.5 is used. Therefore, we can use
cmake 3.5, which is also standard in Ubuntu 16.04, whereas cmake 3.9
is non-standard.
For the server the boost lib path was define as BOOST_LIBRARY_PATH and for the client as BOOT_LIB_PATH. To keep it uniform between linux and windows, the variable was rename as BOOST_LIB_PATH.
berndgassmann