Comments (9)
@bgoldfai any progress on the 16.04 kinetic build?
from autorally.
I can drive the platform around in simulation with a gamepad using our joystick node if I have the following packages installed from source, still explicitely compiling driver_base first:
- driver_common
- gazebo_ros_pkgs
Camera1394 is no longer a dependency, but hasn't been removed from package.xml yet.
The state estimator still does not compile because of GTSAM dependency issues in 16.04.
We have not tested 16.04/kinetic on hardware, as all of our compute boxes are still on 14.04/indigo. We will migrate once all of these remaining issues are resolved.
from autorally.
After further testing, there is no need for any ROS packages to be installed from source and the state estimator compiles in 16.04 if GTSAM is compiled from the latest develop branch.
The standard installation instructions for our software are now compatible with 16.04/kinetic in the kinetic-devel branch. We won't officially move up to kinetic until we have a chance to test on hardware.
from autorally.
Great. I'll try it out
Sent from my iPhone
On Jul 29, 2016, at 11:33 AM, Brian Goldfain [email protected] wrote:
After further testing, there is no need for any ROS packages to be installed from source and the state estimator compiles in 16.04 if GTSAM is compiled from the latest develop branch.
The standard installation instructions for our software are now compatible with 16.04/kinetic in the kinetic-devel branch. We won't officially move up to kinetic until we have a chance to test on hardware.
—
You are receiving this because you commented.
Reply to this email directly, view it on GitHub, or mute the thread.
from autorally.
I have a compile issue with 16.04 and kinetic. any ideas??
Linking CXX executable /home/northstar/catkin_ws/devel/lib/autorally_core/imuGpsEstimator
/usr/bin/ld: CMakeFiles/imuGpsEstimator.dir/IMU_GPS.cpp.o: undefined reference to symbol '_ZN3tbb8internal23allocate_via_handler_v3Em'
//usr/lib/x86_64-linux-gnu/libtbb.so.2: error adding symbols: DSO missing from command line
collect2: error: ld returned 1 exit status
from autorally.
I was able to replicate the issue and I think solve it by linking TBB required by GTSAM during the state estimator compilation. The kinetic-devel branch is updated with this change.
from autorally.
just tested it and it compiled. I will start to test the running system.
from autorally.
put the driver_base in the workspace/src and compile. It worked for me.
driver_base source is here: https://github.com/ros-drivers/driver_common
from autorally.
The repository has been tested working on quite a few machines using the instructions in the kinetic-devel branch, which is now the default, so I'm closing this issue.
from autorally.
Related Issues (20)
- Constant Speed Controller Not Working
- Error with catkin_make, urgent, please help, thanks!!! HOT 4
- Stateesitmator error
- StateEstimator error
- Teensy LC Issues on Ubuntu 18 HOT 2
- Explanation of the DDP optimization HOT 2
- Request to reference MPPI with OpenAI Gym implementation in your docs HOT 1
- Compilation dependency issues
- ROS2 GAZEBO99 - Robot keeps jerking and moving HOT 3
- Generating costmap HOT 1
- Car Jerking (not properly setting commands for the suspension) HOT 3
- Build fails on Melodic / Ubuntu 18.04 due to StateEstimator linker error (fails to link Boost libraries) HOT 2
- child_frame_id of odometry message is not set in autorally_plant.cpp HOT 1
- child_frame_id of odometry message is not set in autorally_plant.cpp HOT 3
- Target trajectory and path planning
- Constant Speed Controller Nodlet hanging
- Cost Functions for Standalone Node
- Code for UKF parameter esimtation HOT 1
- Catkin_make Failed HOT 3
- Launching Error
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from autorally.