Launch Your Career in Self-Driving Cars. Be at the forefront of the autonomous driving industry.
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.
Great course! Made me even more interested in self driving vehicles! I'll definitely continue this specialization and topic in general, as cars and robotics itself :3
This course was a great learning experience for me and I learned a lot. Hope to continue the specialization..
Challenging course, specially the assignments. The extra literature resources are great. The explanations and examples on the videos could improve. Step by step Hands On examples would fit great
The course is very good for the basic knowledge of self driving. There are a lot of good examples of different parts. I have learned a lot from it. Thank you for your excellent job!
There are many interesting topics. Without the help and suggested readings from this course, I wouldn't be able to finish by myself. Also, the final project is very enlightening.
The programming exercise needs a little more introductory . For someone new its very difficult to follow and adapt and meet the deadlines. This could potentially be demotivating
One of the most exciting courses ever had in terms of learning and understanding. Kalman filter is a fascinating concept with infinite applications in real life on daily basis.
Very engrossing and interesting course. This is a very intensive course and requires some work on the assignments and projects and hence makes it very satisfying to learn.
此课程是 100% 在线学习吗？是否需要现场参加课程？
Each course is intended to take 4-6 weeks, roughly one week per module. At this pace, the entire Specialization will take you 4-6 months to complete.
What background knowledge is necessary?
See the list of prerequisites provided in Module 0 of Course 1. The most important ones are familiarity with linear algebra, calculus, probability theory, and kinematic and dynamic modeling. Some exposure to computer vision, AI or robotics is also useful.
Do I need to take the courses in a specific order?
The courses are mostly independent and self-paced, so it is possible to mix the order of the courses based on your interests. The only exception is that Course 1 provides a valuable overview of an autonomous vehicle in terms of hardware and software, so we recommend starting with Course 1.
What will I be able to do upon completing the Specialization?
You will be able to develop basic implementations of all the main components of an autonomous car software stack, including localization and mapping solutions, object detection and drivable surface detection methods, motion planning approaches and vehicle controllers. You'll be ready to enter the industry with a strong overview of the core requirements and challenges in self-driving development, and you'll have experience with simulating these vehicles in the CARLA simulator.