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所在平台: Udemy |
课程主页: https://www.udemy.com/course/formula-bharat-driverless-vehicle-course/
课程评论：没有评论
课程名称：无驾驶汽车课程（Driverless Vehicle Course） - 来自 Formula Bharat 课程概述：您是否在理解无驾驶车辆的复杂性时感到困难？是否在设计符合要求的自动驾驶系统时遇到挑战？是否在高效规划和管理您的自动驾驶项目时感到困惑？本课程旨在解决这些问题。 课程内容： - 高级数据分析与人工智能/机器学习 - 雷达天线设计与实施 - 高级驾驶辅助系统（ADAS） - 帮助无驾驶开发的高级仿真 - 基于视觉锥的路径规划与轨迹控制 - ROS入门 - 使用Typhoon HIL的实时仿真 - 同时定位与地图构建（SLAM）与传感器融合 - 在仿真中创建真实环境 - 理解现代自动驾驶技术、网络安全、功能安全、深度学习和计算机视觉算法 - Formula Student团队的经验分享 - 无驾驶相关软件的介绍 课程亮点： - 了解当前世界上使用的自动驾驶车辆技术 - 全面覆盖无驾驶汽车开发中的工程相关知识，涵盖软件栈包括： - 数据分析与机器学习 - ADAS雷达传感器与通信天线 - 同时定位与地图构建（SLAM） - 使用Typhoon HIL的实时仿真 - ROS与传感器融合 - 现代自动驾驶汽车技术 课程基础：该课程包含来自汽车和自动化系统领域的工业专家讲座。本课程不涉及Formula Student无驾驶类别的规则适应。 课程成果：完成本课程后，您将能够使用各种工具和软件为自动驾驶汽车开发软件栈。
Are you struggling to understand the complexities of driverless vehicle? Are you finding it challenging to design a compliant autonomous driving system? Are you finding it difficult to efficiently plan and manage your autonomous vehicle project? This course is here to eliminate those concerns.What You'll Learn:Advanced data analysis and AI/ML, Radar antenna design and implementation, ADAS, Advanced simulation to assist DV development.Path Planning and trajectory control with visual cone detection, Getting started with ROS.Real-time simulation using Typhoon HIL.Simultaneous Localization and Mapping (SLAM) and Sensor Fusion.Creation of Real-world environment in simulations.Understanding modern time autonomous technology, cybersecurity, functional safety, deep learning and computer vision algorithm.Experience of FS Teams.Various available software for driverless.Course Highlights:Understanding Autonomous vehicles with the technology used in the current world.Comprehensive coverage of Engineering used in the development of Autonomous Vehicles on software stack, including - - Data analysis and Machine learning - ADAS Radar sensor and Communication Antenna - Simultaneous Localization and Mapping (SLAM) - Real-time simulation using Typhoon HIL - ROS and Sensor Fusion - Modern day autonomous vehicle technologyProgram Basis: The course contains sessions from industrial experts working in automobile and autonomous systems. This course does not contain any rule adaptation of the formula student driverless categoryCourse Outcome: By the end of this course, you will be able to develop your software stack for autonomous vehicle using various tools and software.
