当前位置:网站首页>Velodyne configuration command
Velodyne configuration command
2022-07-04 10:15:00 【Wildcraner】
stay ws-velodyne Next
catkin_make
source devel/setup.bash
roslaunch velodyne_pointcloud VLP16_points.launch
Open another terminal
rosrun rviz rviz -f velodyne
Originality pointcloud2
边栏推荐
- Regular expression (I)
- 使用 C# 提取 PDF 文件中的所有文字(支持 .NET Core)
- Exercise 9-1 time conversion (15 points)
- Modules golang
- El Table Radio select and hide the select all box
- Whether a person is reliable or not, closed loop is very important
- 直方图均衡化
- Machine learning -- neural network (IV): BP neural network
- uniapp 小于1000 按原数字显示 超过1000 数字换算成10w+ 1.3k+ 显示
- Hands on deep learning (36) -- language model and data set
猜你喜欢

Devop basic command

How can Huawei online match improve the success rate of player matching

Intelligent gateway helps improve industrial data acquisition and utilization
自动化的优点有哪些?

【Day1】 deep-learning-basics

Safety reinforcement learning based on linear function approximation safe RL with linear function approximation translation 1

PHP代码审计3—系统重装漏洞

Fabric of kubernetes CNI plug-in

Normal vector point cloud rotation

Hands on deep learning (38) -- realize RNN from scratch
随机推荐
[FAQ] summary of common causes and solutions of Huawei account service error 907135701
Ruby time format conversion strftime MS matching format
Doris / Clickhouse / Hudi, a phased summary in June
JDBC and MySQL database
品牌连锁店5G/4G无线组网方案
Go context basic introduction
PHP代码审计3—系统重装漏洞
Safety reinforcement learning based on linear function approximation safe RL with linear function approximation translation 1
用数据告诉你高考最难的省份是哪里!
Legion is a network penetration tool
直方图均衡化
Golang Modules
SQL replying to comments
Custom type: structure, enumeration, union
Basic principle of servlet and application of common API methods
Dynamic address book
Qtreeview+ custom model implementation example
System. Currenttimemillis() and system Nanotime (), which is faster? Don't use it wrong!
Reprint: summation formula of proportional series and its derivation process
【Day2】 convolutional-neural-networks