How to Install and Uninstall libignition-sensors-gpu-lidar-dev Package on Ubuntu 24.04 LTS (Noble Numbat)

Last updated: May 16,2024

1. Install "libignition-sensors-gpu-lidar-dev" package

In this section, we are going to explain the necessary steps to install libignition-sensors-gpu-lidar-dev on Ubuntu 24.04 LTS (Noble Numbat)

$ sudo apt update $ sudo apt install libignition-sensors-gpu-lidar-dev

2. Uninstall "libignition-sensors-gpu-lidar-dev" package

Please follow the instructions below to uninstall libignition-sensors-gpu-lidar-dev on Ubuntu 24.04 LTS (Noble Numbat):

$ sudo apt remove libignition-sensors-gpu-lidar-dev $ sudo apt autoclean && sudo apt autoremove

3. Information about the libignition-sensors-gpu-lidar-dev package on Ubuntu 24.04 LTS (Noble Numbat)

Package: libignition-sensors-gpu-lidar-dev
Architecture: amd64
Version: 6.1.0+ds-0ubuntu2
Multi-Arch: same
Priority: optional
Section: universe/libdevel
Source: ignition-sensors
Origin: Ubuntu
Maintainer: Ubuntu developers
Original-Maintainer: Jose Luis Rivero
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 64
Depends: libignition-cmake-dev (>= 2.0.0), libignition-common-dev (>= 4.0.0), libignition-math-dev (>= 6.6.0), libignition-msgs-dev (>= 8.2.0), libignition-transport-dev (>= 11.0.0), libignition-sensors-core-dev (= 6.1.0+ds-0ubuntu2), libignition-sensors-lidar-dev (= 6.1.0+ds-0ubuntu2), libsdformat-dev (>= 12.0.0), libignition-sensors6-gpu-lidar6 (= 6.1.0+ds-0ubuntu2)
Filename: pool/universe/i/ignition-sensors/libignition-sensors-gpu-lidar-dev_6.1.0+ds-0ubuntu2_amd64.deb
Size: 13036
MD5sum: 0044755ea6a6029d22e1626d7ebb3b98
SHA1: 1d39c753cb0a80fcb8e16771cf3fe156642f178f
SHA256: 46ea85725d8561f039dd33854351beefd555f8f3bd3363aaca983360dc3e2c59
SHA512: 083bca7f457f35eb72f58ef51603db32b198940f00220ec95921947efadc0189626c45438026db9f7588d03bdfdcbdeedca523d3a5d4d9a79d06acfadc8a60e4
Homepage: https://ignitionrobotics.org/libs/sensors
Description: Ignition sensors classes and functions for robot apps - Dev files gpu-lidar
Description-md5: 7c0a357103c919f224f14ccd4636a13c