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In the laboratory, we tested glim algorithm with Aeve AeriesII Lidar. In the first small part of data, glim performed well, but in the subsequent data, attitude estimation was not very accurate. Could…
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**Hey @scottyhq ! Just wanted to get your thoughts on the below idea after I spent a lot of time messily plotting PCD candidate sites:**
Idea to create a quick plotting function for LiDAR extent, ste…
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@Taeyoung96 Great work!
I tried to migrate your code to ROS2 and adapt it for solid-state LiDAR ([https://github.com/url-kaist/patchwork-plusplus], patchworkpp has eliminated the impact of rings, so…
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Last core thing necessary for vision system parity is sending lidar point clouds to Autonomy from the simulator.
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I missed an opportunity to scoop UCSD's JSoE with a viz of campus lidar data during a campus emergency drill because we can't do millions of points and still navigate the space in real-time. The geome…
jsale updated
8 years ago
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I am working on deep learning-based extrinsic calibration for lidar and camera fusion and facing the following issues:
1. When I implemented the lidar-image/depth map with the same code and data gi…
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I'm trying to correctly add the camera's extrinsic matrix to calibrate the lidar and camera, but when going to xtreme1 (or basic.ai) it always gives me a really crazy position... I did the test and th…
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I am deep into a cpp (linux, non-ROS) project where I implemented the sick_scan_xd shared library and use it to read and process data from the scanner. Now the requirements are that we should be able …
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Hi, I am trying to get the points from lidar data and am having issues with v2.perception.utils.lidar_utils.convert_range_image_to_point_cloud.
I am using python3.10 and tensorflow 2.12 in a docker…
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Recently I was running a `mid70` lidar within ROS `melodic` workspace and from one execution to another, the point cloud started to show this strange behavior. This is the second time this issue happe…