2018-10-05 星期五
The high level of English is a standard for a top student.
1. when all else is lost，the future still remains。
2. One way to develop self-confidence is to do the thing you fear and to get a record of successful experiences behind you. Confidence is compassionate and understanding. It is not arrogant. Arrogance is born out of fear and insecurity, while confidence comes from strength and integrity.
3. Don't wait for the perfect moment. Take the moment and make it perfect.
4. “In the past,I did not care how I treated people.Now,I find that I have a new sensitivity towards everyone.because my softest emotions have been awakened by you."
5. Life is crazy! We chase what we can't have, and run away from what we desire the most!
6. learn and constantly review what one has learned
7. When you are single all you see is happy couples and when you are in a relationship all you see is happy single people.
8. Knowing what you cannot do is far more important than knowing what you are capable of.
9. Sometimes your plans don’t work out because God has better ones.
Paper
1. ROS: an open-source Robot Operating System
(https://www.willowgarage.com/sites/default/files/icraoss09-ROS.pdf)
Abstract: This paper gives an overview of ROS, an opensource robot operating system. ROS is not an operating system in the traditional sense of process management and scheduling; rather, it provides a structured communications layer above the host operating systems of a heterogenous compute cluster. In this paper, we discuss how ROS relates to existing robot software frameworks, and briefly overview some of the available application software which uses ROS.
key knowledge points:
1. robotics software architectures must also support large-scale software integration efforts.
2. Peer-to-peer Tools-based Multi-lingual Thin Free and Open-Source
3. The fundamental concepts of the ROS implementation are nodes, messages, topics, and services.
kalman filter (https://en.wikipedia.org/wiki/Kalman_filter)
1. A New Approach to Linear Filtering and Prediction Problems
(https://www.cs.unc.edu/~welch/kalman/media/pdf/Kalman1960.pdf)
3. An Introduction to the Kalman Filter
（http://www.cs.unc.edu/~tracker/media/pdf/SIGGRAPH2001_Slides_08.pdf）
（http://www.cs.unc.edu/~welch/kalman/media/pdf/kalman_intro_chinese.pdf）
Lots of computer vision applications Lots of computer vision applications
