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I don't seem to be able to remove it from PATH. I should add that I am doing this all in a Dockerfile as ROOT. I have tr

Hi @aprotyas. Would that not download OpenCV with CPU support instead? How would I differentiate b/w the one with GPU an

Asked the question twice by mistake. Moving here: https://answers.ros.org/question/399286/unable-to-install-ros2-galacti

Unable to install ROS2 Galactic after building OpenCV from source I installed OpenCV from source. However when following

Installing ROS2 Galactic after installing OpenCV from source I installed OpenCV from source. However when following the

Is there any package/tutorial to achieve this multi image fusion in ROS https://www.mathworks.com/help/driving/ug/create

Is there any package/tutorial to achieve this multi image fusion in ROS https://www.mathworks.com/help/driving/ug/create

My bad I can see the confusion since I mentioned a pointcloud. Will edit it. This seems to be a single camera Lidar fusi

Correct me if I am wrong but this seems to be a single camera Lidar fusion. I was looking for a multi camera fusion into

Is there any package/tutorial to achieve this multi image fusion in ROS https://www.mathworks.com/help/driving/ug/create

Yes it does

Autoware.Auto NDT Localizer Question Usually NDT algorithms aren't robust to changing environments/landmark removal. Lik

Autoware.Auto NDT Localizer Question Usually NDT algorithms aren't robust to changing environments. Like if there is an

We have a Livox Lidar which we plan to use to map out a route which can be used with the Autoware.Auto track. We noticed that using this tool: https://tools.tier4.jp/feature/point_... we can convert a .bag to .pcd . Is it compatible with ROS2 bags? Or should we just record it with a ROS1 bag

Separating this from the question here: https://answers.ros.org/question/3786...

What is the best way to create a PCD map? In the other link I mentioned using the https://tools.tier4.jp/feature/point_... to create a PCD map. But are there any other better ways? We will be getting a .bag file of PointCloud2 messages for an environment we wanted to test in. Is there any additional sensory information we should collect (for building the map or in general for using with Autoware.Auto)? Looking for something as in depth as the Lanelet2 tutorial here but for building pointcloud maps in Autoware.Auto

Which would be having more support? Can anyone point to useful resources for both of them? For the Autoware.Auto I found the ApexAI courses. Our team is more well versed with ROS1 but if Autoware.AI won't have that much support we can make the switch. We will mainly be building a robot for the LGSVL simulator and navigating through the San Francisco environment

http://data.selfracingcars.com/

I was using RTABMAP before since I wanted to be able to differentiate between the green patch of grass and the actual track (which Lidar wouldn't be able to do as it won't hit anything). But it doesn't look like it does that. Was wondering if there was a more appropriate package that makes use of any of the map data from that website.

Edit: Here are examples of some of the races for this track: https://youtu.be/KmOakRbBGFM, https://youtu.be/Z6Hc2aD7tJQ

Autoware.Auto best way to create a PCD map Separating this from the question here: https://answers.ros.org/question/3786

If you can use ROS Lunar, they have a pointcloud_to_laserscan package that has a laserscan_to_pointcloud node. Try seein