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b/docs/how-to-guides/integrating-autoware/creating-maps/open-source-slam/lio-sam/index.md @@ -31,6 +31,9 @@ please look at the official repository for getting more information. We are using [Robosense Helios 5515](https://www.robosense.ai/en/rslidar/RS-Helios) and [CLAP B7](https://en.unicorecomm.com/assets/upload/file/CLAP-B7_Product_Brief_En.pdf) sensor on tutorial_vehicle, so we will use these sensors for running LIO-SAM. +Additionally, LIO-SAM tested with [Applanix POS LVX](https://www.applanix.com/downloads/products/specs/POS_LVX-Datasheet.pdf) and [Hesai Pandar XT32](https://www.hesaitech.com/product/xt32/) sensor setup. Some additional information +according to the sensors will be provided in this page. + ### ROS Compatibility Since Autoware uses ROS 2 Humble currently, we will continue with ROS 2 version of LIO-SAM. @@ -172,6 +175,43 @@ we will update extrinsic transformations between Robosense Lidar and CLAP B7 GNS ``` +!!! warning + + The mapping direction is towards to the going direction in the real world. + If LiDAR sensor is backwards, according to the direction you are moving, + then you need to change the extrinsicRot too. + Unless the IMU tries to go in the wrong direction, and it may occur problems. + +For example, in our Applanix POS LVX and Hesai Pandar XT32 setup, IMU direction was towards to the going direction and +LiDAR direction has 180 degree difference in Z-axis according to the IMU direction. In other words, they were facing back +to each other. The tool may need a transformation for IMU for that. + +- In that situation, the calibration parameters changed as this: + +```diff +- extrinsicRot: [-1.0, 0.0, 0.0, +- 0.0, 1.0, 0.0, +- 0.0, 0.0, -1.0 ] ++ extrinsicRot: [-1.0, 0.0, 0.0, ++ 0.0, -1.0, 0.0, ++ 0.0, 0.0, 1.0 ] +- extrinsicRPY: [ 0.0, 1.0, 0.0, +- -1.0, 0.0, 0.0, +- 0.0, 0.0, 1.0 ] ++ extrinsicRPY: [ -1.0, 0.0, 0.0, ++ 0.0, -1.0, 0.0, ++ 0.0, 0.0, 1.0 ] +``` + +- In the end, we got this transform visualization in RViz: + +

+ ![lio-sam-imu-direciton](images/LIO-SAM-imu-direction.png){ align=center width="512"} +
+ Transform Visualization of Applanix POS LVX and Hesai Pandar XT32 in RViz +
+
+ Now, we are ready to create a map for Autoware. ### 3) Usage