4 ms·

Self-Driving Car Engineer Nanodegree

14 points by olivercameron 10y ago

olivercameron 10y ago
I'm super excited about this curriculum, which is being built by Sebastian Thrun (Stanley creator and Google Self-Driving Car project founder). Would love to answer any questions I can!
- farhanhubble 10y ago
  Hi Oliver, Is there a cutoff date for applying the 33% off coupon. I want to join the machine learning nano degree in late September.
- Qworg 10y ago
  Is this different than the previous curriculum taught by Sebastian?
  - farhanhubble 10y ago
    Self-driving Cars Nanodegree has not started yet. Which curriculum are you referring to?
    - Qworg 10y ago
      The original "self-driving cars" course on Udacity - the one that Sebastian started with. =)
phanib 10y ago
I was never excited this much for an online course. One of most anticipated nanodegree for me. I hope it's totally worth it. Enrolled this week, already started Slacking with an amazing community. Udacity courses are really good, they did make an impact on my career and to the world. I cannot imagine what would I have been without Udacity. Thank you !
- farhanhubble 10y ago
  I'm also excited about this course like never before. Although, Udacity already has courses on machine learning that cover everything from the basics to reinforcement learning and Tensor Flow, this course is much more hands-on and will probably cover a wider range of topics like fusing data from sensors and algorithms for localization and mapping the environment. I studied computer science but remained interested in electronics, mechanics and signals and system. One of the projects I did was a GPS guided rover. I did all the electronics, programming and mechanics stuff and wrote basic obstacle avoidance, localization and navigation code myself. I enjoyed every part of it. I wanted to make the rover very sophisticated, which retrospectively was a very high goal for a semester-long course. Anyway, I went ahead and bought two books, Kalman Filtering: Theory and Practice Using MATLAB and Principles of Robot Motion, co-authored by Sebastian Thrun. I didn't get the time to read beyond a few chapters of Thrun's book then but it was very well written and included some great stuff like an introductory chapter on topology. Eight years since and it seems finally I have the motivation to read it cover to cover. Since the course starts later this year there's time to learn Deep Learning and perhaps Gazebo simulator, which we might end up using for simulating of our own self-driving cars.

14 points by olivercameron 10y ago

I'm super excited about this curriculum, which is being built by Sebastian Thrun (Stanley creator and Google Self-Driving Car project founder). Would love to answer any questions I can!

farhanhubble 10y ago
Hi Oliver, Is there a cutoff date for applying the 33% off coupon. I want to join the machine learning nano degree in late September.
Qworg 10y ago
Is this different than the previous curriculum taught by Sebastian?
- farhanhubble 10y ago
  Self-driving Cars Nanodegree has not started yet. Which curriculum are you referring to?
  - Qworg 10y ago
    The original "self-driving cars" course on Udacity - the one that Sebastian started with. =)

phanib 10y ago

I was never excited this much for an online course. One of most anticipated nanodegree for me. I hope it's totally worth it. Enrolled this week, already started Slacking with an amazing community. Udacity courses are really good, they did make an impact on my career and to the world. I cannot imagine what would I have been without Udacity. Thank you !

farhanhubble 10y ago
I'm also excited about this course like never before. Although, Udacity already has courses on machine learning that cover everything from the basics to reinforcement learning and Tensor Flow, this course is much more hands-on and will probably cover a wider range of topics like fusing data from sensors and algorithms for localization and mapping the environment. I studied computer science but remained interested in electronics, mechanics and signals and system. One of the projects I did was a GPS guided rover. I did all the electronics, programming and mechanics stuff and wrote basic obstacle avoidance, localization and navigation code myself. I enjoyed every part of it. I wanted to make the rover very sophisticated, which retrospectively was a very high goal for a semester-long course. Anyway, I went ahead and bought two books, Kalman Filtering: Theory and Practice Using MATLAB and Principles of Robot Motion, co-authored by Sebastian Thrun. I didn't get the time to read beyond a few chapters of Thrun's book then but it was very well written and included some great stuff like an introductory chapter on topology. Eight years since and it seems finally I have the motivation to read it cover to cover. Since the course starts later this year there's time to learn Deep Learning and perhaps Gazebo simulator, which we might end up using for simulating of our own self-driving cars.