Self-Driving Cars Specialization

开始时间: 08/08/2020 持续时间: Unknown

所在平台: Coursera专项课程

课程类别: 计算机科学

大学或机构: CourseraNew



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Be at the forefront of the autonomous driving industry. With market researchers predicting a $42-billion market and more than 20 million self-driving cars on the road by 2025, the next big job boom is right around the corner. This Specialization gives you a comprehensive understanding of state-of-the-art engineering practices used in the self-driving car industry. You'll get to interact with real data sets from an autonomous vehicle (AV)―all through hands-on projects using the open source simulator CARLA. Throughout your courses, you’ll hear from industry experts who work at companies like Oxbotica and Zoox as they share insights about autonomous technology and how that is powering job growth within the field. You’ll learn from a highly realistic driving environment that features 3D pedestrian modelling and environmental conditions. When you complete the Specialization successfully, you’ll be able to build your own self-driving software stack and be ready to apply for jobs in the autonomous vehicle industry. It is recommended that you have some background in linear algebra, probability, statistics, calculus, physics, control theory, and Python programming. You will need these specifications in order to effectively run the CARLA simulator: Windows 7 64-bit (or later) or Ubuntu 16.04 (or later), Quad-core Intel or AMD processor (2.5 GHz or faster), NVIDIA GeForce 470 GTX or AMD Radeon 6870 HD series card or higher, 8 GB RAM, and OpenGL 3 or greater (for Linux computers).

无人驾驶汽车专业化:处于自动驾驶行业的最前沿。市场研究人员预测,到2025年,这一市场的规模将达到420亿美元,无人驾驶汽车将超过2000万辆,下一个巨大的就业热潮即将来临。 通过本专业知识,您可以全面了解自动驾驶汽车行业中使用的最新工程实践。您将通过使用开源模拟器CARLA的动手项目,与自动驾驶汽车(AV)的真实数据集进行交互。 在整个课程中,您会听到在Oxbotica和Zoox等公司工作的行业专家的见解,他们分享了有关自动驾驶技术及其如何推动该领域工作增长的见解。 您将从具有3D行人建模和环境条件的高度逼真的驾驶环境中学习。成功完成专业化培训后,您将能够构建自己的自动驾驶软件堆栈,并准备申请自动驾驶汽车行业的工作。 建议您具有线性代数,概率,统计,微积分,物理,控制理论和Python编程的背景知识。您需要以下规范才能有效运行CARLA模拟器:Windows 7 64位(或更高版本)或Ubuntu 16.04(或更高版本),四核Intel或AMD处理器(2.5 GHz或更快),NVIDIA GeForce 470 GTX或AMD Radeon 6870 HD系列卡或更高版本,8 GB RAM和OpenGL 3或更高版本(对于Linux计算机)。


Introduction to Self-Driving Cars
State Estimation and Localization for Self-Driving Cars
Visual Perception for Self-Driving Cars
Motion Planning for Self-Driving Cars





多伦多大学的自动驾驶(无人驾驶)汽车专项课程(Self-Driving Cars Specialization),该系列包含4门子课程,涵盖自动驾驶汽车简介、自动驾驶汽车状态估计与定位、自动驾驶汽车视觉感知、自动驾驶汽车运动规划等,感兴趣的同学可以关注:Launch Your Career in Self-Driving Cars. Be at the forefront of the autonomous driving industry.


自动驾驶 无人驾驶 机器学习 自动驾驶汽车 无人驾驶汽车 视觉感知 状态估计 定位 运动规划