很酷炫的高中生课程项目。网址如下：
ABOUT THIS COURSE 关于本课程
The Autonomous Mini Grand Prix, is a hands-on, intensive, project-based challenge that demonstrates autonomous mini racecar navigation in a complex environment. In project teams students will use their own RACECAR (Rapid Autonomous Complex- Environment Competing Ackermann-steering Robot), complete with sensors and a NVIDIA computer running on ROS (Robot Operating System), to Move! Explore! Learn! Race!
自动驾驶迷你车竞赛是一项实践性的，密集的，高强度的，基于项目的挑战赛，实现在复杂环境中的自动迷你赛车导航。在项目团队中，学生将使用他们自己的RACECAR（快速自治复杂 - 环境竞争阿克曼转向机器人），配备传感器和运行在ROS（机器人操作系统）上的NVIDIA计算机，移动！探索！学习！竞速！
The main units of the full RACECAR course are:
完整的RACECAR课程的主要单元是：
- Week 1: Move - Basic motion control and simple obstacle avoidance
- Week 2: Explore - Vision-based blob, target, and object detection
- Week 3: Learn - Mapping, localization, and road network navigation
- Week 4: Race - All pieces come together for the final Mini Grand Prix Challenge!
- 第1周：移动 - 基本运动控制和简单的避障
- 第2周：探索 - 基于视觉的斑点，目标和物体检测
- 第3周：学习 - 映射，本地化和道路网络导航
- 第4周：比赛 - 所有作品齐聚一堂，参加最终的迷你大奖赛！
In preparation for the full RACECAR course, this course provides the background material about key tools utilized in the program that is based on the Robot Operating System (ROS, http://ros.org) running on the Ubuntu distribution of the GNU/Linux operating system. Programming skills with the Python programming language are devmonstrated and examples are provided to gain experience with the OpenCV (open computer vision) tools widely used in industry and academic research. In addition, this course includes units in
为了准备完整的RACECAR课程，本课程提供了有关该程序中使用的关键工具的背景材料，该工具基于在GNU / Linux的Ubuntu发行版上运行的机器人操作系统（ROS，http：//ros.org）。操作系统。使用Python编程语言编写技能并提供示例，以获得在工业和学术研究中广泛使用的OpenCV（开放式计算机视觉）工具的经验。此外，本课程包括单位
- control systems
- computer vision
- localization
- navigation
- planning
- 控制系统
- 计算机视觉
- 定位
- 导航
- 规划
