Master Thesis on processing point clouds from Velodyne VLP-16 LiDAR sensors with PCL in ROS to improve localization method, based on Extended Kalman Filter.
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Updated
Jul 16, 2019 - C++
Master Thesis on processing point clouds from Velodyne VLP-16 LiDAR sensors with PCL in ROS to improve localization method, based on Extended Kalman Filter.
Reconstruction of Indoor Environments Using VLP-16 and Tinkerforge IMU 2.0
Simulate Jackal with Velodyne VLP-16 or HDL-32E in Gazebo
This dataset is captured using a Velodyne VLP-16, which is mounted on an UGV - Clearpath Jackal, on Stevens Institute of Technology campus
LiLo: Lite 3D-Lidar Odometry
The code implemented in ROS projects a point cloud obtained by a Velodyne VLP16 3D-Lidar sensor on an image from an RGB camera.
[DICTA 2020 Paper] DATMO algorithm I developed during my Summer Internship @ University of Calgary
This code converts a point cloud obtained by a Velodyne VLP16 3D-Lidar sensor into a depth image mono16.
Dockerfile for Velodyne VLP-16 and VLP-32 in ROS 2
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