2
$\begingroup$

I want to make a list of what knowledge is necessary for sensor fusion. Since it has a wide array of possible applications, it is not clear where to begin studying. Can we please verify add topics that are in-scope, and specify to what extent?:

  1. Digital Signal Processing course
  2. Probability Course
  3. Machine Learning - course at Coursera from Stanford University
  4. Programming robotic car - course at Udacity
  5. Knowledge of Matlab and Simulink - tutorials on mathworks webpage and offline help.
  6. Basic knowledge about integrals, matrices operations, differential equations.
$\endgroup$
  • 2
    $\begingroup$ Welcome to Robotics.SE! There's a lot of question all rolled up into one. You might consider splitting this into several questions. However, your main question is essentially a list question, which is discouraged on StackExchange in general, as there is no one right answer. Maybe our FAQ can help you rephrase the question in a more answerable way. $\endgroup$ – ThomasH Mar 12 '13 at 0:05
  • $\begingroup$ Welcome josh131 there's definitely an interesting question (or evenseveral questions) buried in here, so feel free to either edit this question or start a new question (or questions). For an explanation of why we try to avoid list questions, see this answer on teh stack exchange meta site. $\endgroup$ – Mark Booth Mar 12 '13 at 13:22
  • $\begingroup$ This question is basically no different than This one, except that it is less-well-posed. I think the problem here is the lack of a solid definition about "sensor fusion." I'll edit it then we can revisit closing. For now I think it's valid. $\endgroup$ – Josh Vander Hook Mar 13 '13 at 21:56
  • $\begingroup$ I know it has been a while, but it could be helpful to future viewers if you add the links for "Machine Learning" and below. $\endgroup$ – koverman47 Jul 11 '18 at 15:53
1
$\begingroup$

You can skip all but 2,6,5, if you want to learn how sensor information is fused to form a consistent estimate of something. 5 is optional but helpful. The best course you can take is a Optimal Estimation / Filtering course, and a Probabilities and Stochastic Processes course. Try MIT Courseware for both of those.

$\endgroup$
  • $\begingroup$ I have been dabbling with those courses. There are many of them and I'm not sure which would be the best to follow on MIT courseware. I have not found exactly with the name you specified, Optimale Estimation/Filtering. Which one exactly do you recommend? $\endgroup$ – josh131 Apr 17 '13 at 7:20
  • $\begingroup$ This is exactly Optimal Estimation / Filtering. Review the requirements for this course, make sure you satisfy them, then take this course. It's your best bet. $\endgroup$ – Josh Vander Hook Apr 17 '13 at 15:00

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.