Useful online courses on self-driving cars 🧠 🚙

Here is a list of useful courses if you want to learn about software for self-driving cars.

Some of the courses are paid, but all platforms offer regular discounts and financial aids if you can't affor them.

Thread 👇
Udacity Self-Driving Car Nanodegree

This program offers hands on experience on all kind of relevant topics like perception, localization, planning and control. It takes a lot of time, but it is worth it.

In the end, your code is run on an actual car!

udacity.com/course/self-dr…
Udacity Introduction Course by Apollo

This is a beginner course explaining the different components of a self-driving car. Apollo is the self-driving division of Baidu.

udacity.com/course/self-dr…
University of Toronto Self-Driving Cars Specialization at Coursera

Four in depth courses covering different aspects of self-driving:
▪️ Introduction to self-driving cars
▪️ State estimation and localization
▪️ Visual perception
▪️ Motion planning

coursera.org/specialization…
Udemy Self-Driving Car Course

This course focuses a lot on deep learning algorithms especially for perception. It also includes crash courses for some of the basics needed, like Python, Numpy and Keras.

udemy.com/course/applied…
MIT Courses on Deep Learning and Self-Driving

Great collection of free courses on various relevant topics many of which by @lexfridman. There are also great presentation by some of the leaders in the industry.

deeplearning.mit.edu
Self-Driving Cars with Duckietown by ETH Zurich

This course covers many of the classical and deep learning algorithms needed to build a self-driving car both in simulation as well as for a real robot - Duckiebot.

edx.org/course/self-dr…
AWS DeepRacer

Not exactly a course, but it is an interesting project by Amazon to build a physical autonomous racing car.

aws.amazon.com/deepracer/

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More from @haltakov

15 Apr
Open-Source Self-Driving Car Simulators 🕹️ 🚙

You want to play around with self-driving car software and gather some experience? Check out these open-source self-driving car simulators!

Details below 👇
CARLA

CARLA is a great software developed by Intel. You can use it to work on any step of the pipeline, model different sensors, maps, traffic. It also integrates with ROS.

carla.org
Deepdive from Voyage

Another great simulator by Voyage - the self-driving company that was recently acuired by Cruise. It is built on the Unreal Engine and supports lots of features.

deepdrive.voyage.auto
Read 8 tweets
13 Apr
How Does a Self-Driving Car Work? 🔧 🧠 🚙

This is classical self-driving car software stack. Nowadays, all steps in the pipeline are dominated by machine learning.

Read below for details on each step 👇
Sensors 🎥

There are 3 main sensors for environment perception 360° around the car:
▪️ Cameras
▪️ Lidars
▪️ Radars

Each sensor has different advantages and disadvantages, so combining all 3 is the best strategy to achieve maximum robustness.
Perception 🖼️

The perception module processes all the sensor raw data to detect different objects, drivable space, lane boundaries, measure distance etc.

Fusing the information from different sensors usually increases the quality of the data significantly.
Read 8 tweets
13 Apr
Self-Driving Cars Thread of Threads 🧠 🚙

I plan many threads on self-driving cars and how to get into the industry.

I will link all of the individual threads that will be focused on a particular topic below.

🧵
I recently gave a talk on AI for self-driving cars for a @DeepLearningAI_ Pie & AI event hosted by @Jeande_d. You can check out the recording on YouTube.



I will be posting threads summarizing the talk and link them below 👇
Learn about the 5 levels of autonomous driving.

Read 4 tweets
12 Apr
There are different ways to detect concept drift for computer vision, depending on the application.

You will need to set up monitoring of your model in production and continuously evaluate it.

1/6
You can do spot checks on production data by labeling some small amounts and comparing the performance to the performance on the test dataset.

This is of course a very expensive and error prone approach (see Simpson's paradox).

2/6
You can evaluate some high-level statistics about the performance of your application. Usually the CV model is not the last part of the pipeline.

For example, a car recognizing speed limits may check if the driver actually drives at a speed close to the speed limit.

3/6
Read 6 tweets
12 Apr
The 5 Levels of Autonomous Driving 🧠 🚙

There is a lot of talk about level 2, 3, 5 self-driving cars, but what do these levels mean? Which level is Tesla at? What about Waymo?

Let me walk you through the different levels in this thread 👇
Level 0️⃣ - No Automation

Just old fashioned cars here - there are no systems assisting during driving. The human driver needs to do all the work.

▪️ Driving -🧍
▪️ Monitoring -🧍
▪️ Fallback -🧍
Level 1️⃣ - Hands-on

The car takes over part of the driving.

Example: adaptive cruise control - the car accelerates and breaks automatically, but the driver needs to steer.

L1 cars have been around for more than 20 years!

▪️ Driving -🧍/🚙
▪️ Monitoring -🧍
▪️ Fallback -🧍
Read 12 tweets
22 Feb
How high can you score against my new @DilemmaBot at Prisoner's Dilemma? 💪

Just mention it in a tweet and it will start playing with you.

For now, I won't reveal the strategy it's playing, but I'll write about that later and will publish the code as well.
Here some explanation how the game of Prisoner's Dilemma works. The bot will be playing 10 rounds of it.

Read 4 tweets

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