✔️ The Master-Key to become a self-driving car professional ✔️ Real-world Portfolio project
✔️ One-on-one onboarding sessions (optional) ✔️ VIP contact and support
Do you need to fill a gap in Computer Vision?
Object detection alone isn't useful. Object tracking is.
Dive into AI, build a state of the art obstacle detection algorithm, learn to track obstacles through time, and learn to build a robust project.
Take your skills from okay to great!
What you'll learn
✔️ The origins of obstacle detection ✔️ The algorithms experts use today and why they're better ✔️ 2 main families of obstacle detectors and how you can use them ✔️PROJECT - Createyour own solution and build on major skills ✔️How to get the same performances as experts from your laptop without a GPU, Linux, or big storage. ✔️ 3 ways tracking will change your career ✔️ Fundamentals of obstacle association- The road to Computer Vision and Sensor Fusion
✔️ Master obstacle association - Use it in ANY Computer Vision task ✔️ Get better at reading research papers. Set your way towards expertise and be acknowledged. ✔️CHALLENGE - Code a research paper function ✔️ Deep SORT - Learn the master obstacle tracking system using Deep Learning and Artificial Intelligence ✔️ How to shift from Computer Vision to Sensor Fusion with the same tools ✔️PROJECT - Build your own bounding box tracking algorithm ✔️FINAL PROJECT - Build a real-life project that looks professional and cutting-edge. Be ready to shine.
Learn the fundamentals of obstacle detection. The building block of our system.
The whole course is in Python 3, you need to know how to use it It starts with obstacle detection, so you'll need to know a bit how it works. I don't reexplain everything from scratch. You'll need to at least understand how Convolutional Neural Networks work! With Python and CNN knowledge, you're all set!
Can I do the course with no GPU?
I made the course easily accessible for everyone. It can be accessed with or without a GPU. The only difference will be the time to run your projects. Without a GPU, it can take you more time but it will be totally doable.
I'm not sure this is useful to me...
Don't you need a new project to add? Something very visual and powerful to show? Something that recruiters will consider advanced? You can with this one!
Can this course really help me get a job in self-driving cars?
Affirmative. In perception, obstacle association is needed everywhere! There is Tracking, but also Sensor Fusion! In Sensor Fusion, we can fuse data different sensors... such as LiDARs and Cameras. Instead of associating obstacles from frame 0 to frame 1, you associate them from LiDAR space to camera space with the same algorithms!
See for yourself how this course can help you get a job in Computer Vision or Sensor Fusion:
Mastering Obstacle Tracking is being one step closer to make Computer Vision very useful. We're moving from an independent detection to a complete situation understanding; allowing for new opportunities such as behavioral prediction.
Artificial Intelligence & Self-Driving Car Engineer, Head Dean of France School of AI, and Machine Learning Lecturer. I started thinkautonomous.ai to help aspiring AI & Self-Driving Car Engineersto land their dream job. Working in the industry of the future requires skills and passion. You can build your skills here, where you'll create relevant projects that are used every day in autonomous robots & AI engines.