关于此 专项课程

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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).
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高级
完成课程大约需要 7 个月
建议进度:5 小时/周
英语(English)
可分享的证书
完成后获得证书
100% 在线课程
立即开始,按照自己的计划学习。
灵活的计划
设置并保持灵活的截止日期。
高级
完成课程大约需要 7 个月
建议进度:5 小时/周
英语(English)

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此专项课程包含 4 门课程

课程1

课程 1

Introduction to Self-Driving Cars

4.7
2,283 个评分
466 条评论
课程2

课程 2

State Estimation and Localization for Self-Driving Cars

4.7
691 个评分
112 条评论
课程3

课程 3

Visual Perception for Self-Driving Cars

4.7
463 个评分
62 条评论
课程4

课程 4

Motion Planning for Self-Driving Cars

4.8
377 个评分
71 条评论

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多伦多大学

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