EE308_Lab1

厦大打工人 2021-09-16 21:54:03
The Link Your Class https://bbs.csdn.net/forums/MUEE308FZ?category=0
The Link of Requirement of This Assignment https://bbs.csdn.net/topics/600546911
The Aim of This AssignmentSelf Introduction & Cource Plan
MU STU ID and FZU STU ID19105185_831901317

Self Introduction:

My name is YUAN XIA. Now I am a third-year student majoring in Electronic Engineering in the Maynooth College of International Engineering(MIEC), Fuzhou University(FZU). I think the best teacher for learning is interest. I am a Embedded enthusiasts (though I cannot say I am an expert in this field) . However,I'm not good at software programming, so I hope to improve my coding ability in this semester. I also preliminarily mastered some knowledge of mathematical modeling and participated in the competition on mathematical modeling. What's more, I also participated in the Internet plus international track competition and was very interested in the competition. In addition, I am quite fond of playing basketball and Boxing in the gym. Here are some links of my articles(though these knowledge may be easy, they still help me review):

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Skills:

Skills learned

  • Will use KEIL and openmv to write some basic embedded code.
  • I can use C, C++, Python,MATLAB to program.

Skills learned

  • TCP & UDP communication with hardware
  • WeChat applet
  • Basic filtering algorithm like Kalman filtering
  • Many control algorithm like PID

Interests:

  • Embedded learning and production
  • Mathematical modeling
  • Play basketball and boxing.

Shortcoming:

I have little learning about software engineering and my ability to write code is poor. I'm just learning programming myself. I haven't systematically studied this course.

Also, I know little about the use of GitHub (usually just to download some programs and “wheels”), so I hope I can improve my proficiency to it.

Coding Quantity:

I cannot clearly count how may rows of code I have typed so far. Maybe 7 thousand to 9 thousand? Projects always have a big coding amount. My favorite thing to do is copy and paste code, which feels like stepping on the shoulders of giants. I thought by the end of the course I can type 2 thousand rows of code :C.

Course Planning:

In this course, I should not only improve my code ability, but also improve my teamwork ability to cooperate with my teammates. I want to learn more about how to organize a project better and how to type more readable codes. I believe these skills will bring great convenience to my future work and life. I hope I can learn some job skills to deal with the workplace in this course.

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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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