- 基于 kinect2 获取移动机器人所需要的图像和深度信息。通过比较目前比较流行的深度图像获取方法,采用比较成熟的微软 kinect2 传感器同时获得深度信息和彩色图像。针对在某些情况下,深度相机可能无法提供某些像素的正确值,采用绘制轮廓的方法降低对深度信息获取的影响。
- 根据室内跟随机器人的应用场景,采用深度学习中的 YOLOv3 方法对目标进行识别。YOLOv3 有着高精度和实时性强的特点,给了跟随机器人更多的可能性。
- 基于人工势场法实现机器人移动的控制策略。为了提高鲁棒性,实验并测试对应参数的阈值,提高移动机器人在动态场景的自主移动能力。
kinect2_yolov3_ros's Introduction
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.