從自駕車學習人工智慧:近年來因為AI人工智慧的快速發展,在近代科技中已經蔚然成為一個獨立又龐大的產業體系。授課老師將以樹莓派為核心搭配馬達和網絡攝影機組合成自駕車,在課程中簡要說明樹莓派的作業系統,操控自駕車需要使用的介面基本指令。為了讓樹莓派自駕車能夠無線遙控,我們會介紹如何在筆記電腦中執行VNC軟體進行與樹莓派的遠端連線,並且從筆電的環境中編寫程式與控制。課程進行中我們將會設計兩人一組,使用一套筆電和自駕車,除了讓同學們先執行基本的操作指令之外,並開放同學提出想要進行的專題設計,作為期末報告的內容。本課程旨在實作,學生必須使用授課教師為您提供的資訊與設備,在真實世界中做實驗與測試,「真實」世界意指模擬環境與物理世界。雖然這只是一門通識課程,但授課教師相信在課程結束時,學生將會學到機器人與自駕車的基礎知識Learning artificial intelligence from self-driving cars: In recent years, due to the rapid development of AI artificial intelligence, it has become an independent and large industrial system in modern technology. The teacher will use the pizza pi as the core to combine the pizza and the network photography machine to synthesize the self-driving car. During the course, we will briefly explain the operating system of the pizza pi and control the basic interface required to use to control the self-driving car. In order to enable wireless remote control of the Raspberry Pi car, we will introduce how to execute VNC software remotely connected to the Raspberry Pi in the notebook computer, and write programs and controls from the environment of the notebook. During the course, we will design a set of two people, using a set of notebooks and self-driving cars. In addition to allowing students to execute basic operating instructions first, they will also open the designs that students want to make as the content of the final report. . This course is designed to be done. Students must use the information and equipment provided by the instructor to conduct experiments and tests in the real world. The "real" world means simulated environment and physical world. Although this is just a general course, the teacher believes that at the end of the course, students will learn the basic knowledge of robots and self-driving cars.
https://physexp.thu.edu.tw/~AP/YC/AINAT/
HTTPS://Phys exp.Taihu.Quota.Taiwan/~AP/YC/AI Nat/
評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
---|---|---|
期中考期中考 Midterm exam |
40 | |
期末報告期末報告 Final report |
55 | |
學生自主實作學生自主實作 Students' independent practice |
5 |