LAB 3 First pair programming assignment

HLin_Hulian 助教 2021-09-23 20:52:17

Customer Requirements

Brother Dong held a Mid-Autumn Festival event(Bobing) in the laboratory yesterday, but the rules need to be manually determined, the dice equipment is not complete, and remote students cannot participate in the epidemic prevention and control. Therefore, I hope that paired students can implement a Bobing software.

  1. Need to have an interface, six dice, shake randomly to produce results.
  2. The program allows multiple people to participate, and can automatically determine the results, it can be a stand-alone version or a network format.
  3. The interface style is lively and generous in response to the scene, and lays the foundation for the second implementation of pair coding.

This assignment first implements the Bobing software prototype. The style of the prototype interface depends on the language that the paired students will use in the second assignment.

Implementation requirements

  1. Demand Analysis. The text is accurate, the style is clear, and the pictures are both excellent. The word count is around 500 words. The text is a supplement to the picture. Only the text is given without the picture, which is not friendly to the user.
  2. The prototype model must be implemented with a dedicated prototype model design tool: such as Axure, Rapid, Balsamiq Mockups, Prototype, Composer, GUI Design Studio, Adobe design components, ink knives, etc. In the blog post, explain the prototype development tool you use, and give your prototype display online link, such as the ink knife prototype link.
  3. The presentation process of the prototype interface should be logically clear, easy for users to understand and use, and conform to the usage habits of mainstream people. How to define easy to understand and easy to use? If it is a teacher, teaching assistant, or other role as the user, the user's feedback is used as the standard. In any case, the user's experience is used as his or her scoring standard.
  4. Beautiful design. UI design specifications are unified, beautiful and exquisite. The term "good-looking" is also very general. Refer to the third criterion above, and the actual user experience shall prevail.

Blog Requirements

  1. Basic format [see Lab1].
  2. Give the student ID of the pairing partner and the corresponding blog address of this assignment.
  3. To conduct demand analysis on customer needs, the NABCD model can be used.
  4. Record the PSP form of this operation, including the estimated time and actual time.
  5. Give the prototype development tools used, and give your prototype display online link.
  6. Give a photo, including the paired classmates, work place, computer, and other items or scenes that can express the working experience of pair programming.
  7. Summarize this assignment, the difficulties encountered and how to solve them, the first pair programming experience, etc.

 

Tips:

1. TA can’t notice all students. If your blog can impress TA, you can get higher remark.

2. If you have some question, you should ask directly in the QQ group and you’d better not make a private chat with TAs or tutor.

3. Please issue your homework in the section of assignment on CSDN.

4. The Link of each assignment you would accomplish must be submit to Moodle, or you will lose the score of the assignment.

5. Each assignment submitted to CSDN must be completed in English.

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代码转载自:https://pan.quark.cn/s/a4b39357ea24 自动驾驶是当前科技界高度关注的研究方向,其研究范畴涵盖了人工智能、计算机视觉、机器学习以及传感器融合等多个重要学科。这份题为"自动驾驶论文"的资料,无疑为人们提供了一个深入了解这一复杂系统的机会。以下是基于其标题和描述所呈现的一些关键知识点的详细阐述: 1. **自动驾驶技术**:自动驾驶指的是车辆在无需人类驾驶员参与的情况下,借助各类传感器和智能算法来感知周围环境,制定行驶路线,并执行驾驶行为。这种技术的核心宗旨在于提升交通安全性、缓解交通压力,并改善出行体验。 2. **Python编程语言**:Python是一种在数据处理和科学计算领域得到广泛应用的高级编程语言,由于其语法简洁且拥有丰富的库支持,经常被应用于自动驾驶领域的数据处理、模型构建和系统集成。 3. **源代码分析**:论文中提供的源代码可能包含了自动驾驶算法的实现细节,可能涵盖环境感知模块(包括图像处理、激光雷达数据解读)、决策模块(涉及路径规划、行为分析)、控制模块(涵盖车辆动力学建模、控制策略设计)等,这些代码可作为学习和研究自动驾驶算法的实践范例。 4. **计算机视觉**:自动驾驶系统中的计算机视觉技术主要用于识别道路标识、行人、其他车辆等,这通常涉及图像分类、目标识别和语义分割等任务,常见的技术包括卷积神经网络(CNN)、区域提议网络(RPN)、YOLO、Faster R-CNN等。 5. **机器学习**:机器学习是自动驾驶技术的核心,用于训练模型以理解和预测复杂的驾驶情境。深度学习,特别是深度强化学习,在决策制定和控制策略方面已取得显著进展。 6. **传感器融合**:自动驾驶汽车通常装备多种传...

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