Self-Driving Fundamentals: Featuring Apollo
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Identify key parts of self-driving cars, utilize Apollo HD Map, localization, perception, prediction, planning and control, and start the learning path of building a self-driving car.
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Reddit Posts and Comments
0 posts • 3 mentions • top 3 shown below
1 points • LovelyJiqiren
I love these sorts of questions and would love to see more of them on this sub. Thank you, /u/deeplearninglex
If you haven't already, I'd recommend checking out Udacity's free Apollo course, and Oliver Cameron's discussion of Prediction as the next frontier in SDCs.
2 points • dittospin
What do you think of Udacity's ML, DL, and self-driving Nanodegrees?
Udacity is offering 1month free for all their Nanodegree programs, and I thought of taking one of their AI courses. For reference I have calc 1 and 2 and I'm a fairly decent programmer.
- Become a Machine Learning Engineer
- Deep Learning
- Intro to Self-Driving Cars
- Self-Driving Fundamentals: Featuring Apollo ??
Thoughts? The self-driving car excites the most.
If these aren't worth the time, should I take Fast AI's DL or ML course first?
1 points • selfdrivingcars360
Hi,
there seems to be a lot of sistemised information on this subject
check out Amazon https://www.amazon.com/s?k=Autonomous+Cars&i=stripbooks-intl-ship&ref=nb_sb_noss
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1)
On technical aspects I would recommend this book written by Baidu engineers
It covers three major subsystems of the car: (1) algorithms for localization, perception, and planning and control; (2) client systems, such as the robotics operating system and hardware platform; and (3) the cloud platform, which includes data storage, simulation, high-definition (HD) mapping, and deep learning model training.
In short -
Chapter 1 provides an overview of autonomous vehicle systems;
Chapter 2 focuses on localization technologies;
Chapter 3 discusses traditional techniques used for perception;
Chapter 4 discusses deep learning based techniques for perception;
Chapter 5 introduces the planning and control sub-system, especially prediction and routing technologies;
Chapter 6 focuses on motion planning and feedback control of the planning and control subsystem;
Chapter 7 introduces reinforcement learning-based planning and control;
Chapter 8 delves into the details of client systems design; and
Chapter 9 provides the details of cloud platforms for autonomous driving.
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2) Take a FREE, but very usefull intro course from Udacity here -
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Self-Driving Fundamentals: Featuring Apollo
https://www.udacity.com/course/self-driving-car-fundamentals-featuring-apollo--ud0419
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3)
And if you like to dive deeper -
https://www.udacity.com/course/intro-to-self-driving-cars--nd113
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Good luck! )
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