* 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>
* Added sparse map reprsentation
* Added pytorch for terramechanics modules
* Added saving loading particles in independent thread
* Added blank space at the EOF
* Added texture creation lambda
* Moving function to component
* Added input/output architecture for neural network
* Filling heightmap with particles data. Adding Logging to debug
* Updating Texture data at realtime
* Connected 3 stages, using MPC Position to Update and Texture
* Added square particle sampling. Added second model input/output scheme. Fixed start up crash.
* Added new flags and fixes
* Position to update not updating in material but yes in MPC
* Fixed coordinate frame issues and crashes
* Prepared to follow position in the 1st vehicle in map
* Fixed height map alignment
* Fixed large map and terrain tiles alignment
* Fixed inputs for new model
* Added scale factor
* Fixed slow read write operations
* Bug fixes
* Removed debug output
* Removed nvidia profinling marks
* Preparing merge debug code removed, runtime working by rounding the loading data properly
* Made pytorch optional module
* Added TRACE_CPUPROFILER_EVENT_SCOPE to Update and UpdateTexture
* Added optional pytorch conditions and macros
* Removed static Path
* Fixed #ifdef clause. Added missing include.
* Deformation on vehicle working. Ready to start optimisation
* First optimsation done. Heightmap per Tile
* Updated tiles'heightmap to make their size relative to texture and tilesize
* Fixed slow frames. Added functionality
* Removed unecessary library links
* Fixed pytorch link
* Limited search to relevant tiles
* Added multithreaded particle search. Fixed cuda architectures compilation
* Deformation plane added
* Added missing resources
* Updated particle movement update methods
* Spawn on runtime deformation plane
* Added cachemap lock when initializing a region
* Added UHeightMapDataAsset to hold heightmap data
* Fixing some settings
Co-authored-by: Aaron <samaniegoaaron112@gmail.com>
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.
LuisPoveda