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What email Readers Say 📨
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PHD Researcher 🇵🇹
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"Before joining the emails, I thought it seemed interesting and it turns out it really was. It's very cool to receive new info every day on topics I am passionate about. I like paper breakdowns the most, and also understanding how industry is using cutting-edge perception methods and how they work.
Would I recommend the daily emails? yes, to anyone who likes to be up-to-date with cutting-edge research"
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Self-Employed Self-Driving
Car Engineer 🇺🇸
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"Outstanding material. I look for Jeremy's emails every morning. Always interesting. Never thought I would like Jeremy's work stories and shared personal experiences, but I do - his California trip, CES trip, etc.
Best daily email to which I subscribe. I love them. Hasn't changed my life -- just my perspective and understanding of what cutting edge looks like in industry.
Outstanding content delivered daily. Very relevant content about cutting edge technologies."
These emails will help you become a self-driving car engineer quicker than anything you've ever tried.
Our Courses
Intermediate Computer Vision
Understand how to move from "basic" to intermediate and advanced.
Most engineers are stuck in very basic 2D Computer Vision. In this journey, you will learn about Deep Learning, 3D, and Video Computer Vision.
LiDARs
Learn how to work with 3D sensors and process point clouds from LiDARs.
In this journey, you will discover LiDARs, point clouds processing, and then learn about Visual Fusion and 3D Deep Learning.
Tracking
In this journey, you will learn about motion from frame to frame.
This is the Perception Engineer's essential, where you learn about Kalman Filters, Multi-Object Tracking, and at the most advanced level, 4D Perception.
Robotics
This specialized journey takes you into the world of robotics and architecture of self-driving car software.
Here, you will learn about ROS 2, modular self-driving car architectures, protocols, and robotic algorithms like SLAM.
Advanced Deep Learning
This is the ultimate AV 2.0 plan. Inside, you will learn not the basic CNN stuff, not the classical MLP and supervised approach, but everything you see among research labs and startups. HydraNets, Self-Supervised Learning, End-To-End, Transformers, and more...
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