Open zymouse opened 1 month ago
Hello @zymouse,
Nice to hear this repo is helping you!
Q1: We currently only log our data to ROS2 bags and don't run any online calculations on the point clouds. I agree that SensorDataQos would be preferable if you intend to do that.
Q2: I'm not sure what your lidar processing pipeline looks like, but maybe setting up a container with the ouster driver, this package, and the autoware lidar processing pipeline as composable nodes with intra_process_communication enabled could reduce the CPU load?
This is a great tool that helped me get up to speed on autoware quickly!
https://github.com/FranzAlbers/ouster_point_type_adapter/blob/594ec104d53096cafb868139f1289b4c0e6dff67/src/ouster_point_type_adapter_component.cpp#L16
Q1: I have a query about publishing the QOS for point cloud, why don't you use
rclcpp::SensorDataQoS()
, becauserclcpp::SensorDataQoS()
is CPU intensive?Q2:I am four
os1-32
lidars and find the CPU usage very high, do you have a good suggestion?Very much looking forward to your reply, thank you very much