Lei Fan – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2022-08-21T23:53:16Z http://www.open-lab.net/blog/feed/ Lei Fan <![CDATA[Detecting Objects in Point Clouds with NVIDIA CUDA-Pointpillars]]> http://www.open-lab.net/blog/?p=42822 2022-08-21T23:53:16Z 2022-01-11T17:01:35Z A point cloud is a data set of points in a coordinate system. Points contain a wealth of information, including three-dimensional coordinates X, Y, Z; color;...]]>

A point cloud is a data set of points in a coordinate system. Points contain a wealth of information, including three-dimensional coordinates X, Y, Z; color; classification value; intensity value; and time. Point clouds mostly come from lidars that are commonly used in various NVIDIA Jetson use cases, such as autonomous machines, perception modules, and 3D modeling. One of the key…

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Lei Fan <![CDATA[Accelerating Lidar for Robotics with NVIDIA CUDA-based PCL]]> http://www.open-lab.net/blog/?p=23786 2022-08-21T23:41:01Z 2021-02-01T05:42:08Z Many Jetson users choose lidars as their major sensors for localization and perception in autonomous solutions. Lidars describe the spatial environment around...]]>

Many Jetson users choose lidars as their major sensors for localization and perception in autonomous solutions. Lidars describe the spatial environment around the vehicle as a collection of three-dimensional points known as a point cloud. Point clouds sample the surface of the surrounding objects in long range and high precision, which are well-suited for use in higher-level obstacle perception…

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