Particle Filter and Monte Carlo Localization (Cyrill Stachniss)

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Particle Filter and Monte Carlo Localization (Cyrill Stachniss)

Рет қаралды 29,791

Cyrill Stachniss

3 жыл бұрын

Particle Filter and Monte Carlo Localization (MCL)
Cyrill Stachniss, 2020

Пікірлер: 24

@teetanrobotics5363 3 жыл бұрын

One of the best professors on the planet.

@aadi7448 Жыл бұрын

Legit! Even after studying all of these in grad school, I come back here to relearn everything ever so often haha!

@tapirnase 3 жыл бұрын

this could become the most important channel in the field of education on youtube. its btw a great respect to the reasearchers, which are working for cyrill, that they are able to show their work.

@LukeSchoen 3 жыл бұрын

Great video! really enjoyed it thank you very much! i had been using a particle filter for my kinect localisation technique but had not known the name, this really helps clear things up! looking forward to your next video!

@pats4302 3 жыл бұрын

very clear and detailed explaination! Thanks a lot :) Looking forward to more videos on this channel

@farhanhubble 2 жыл бұрын

The simplicity and clarity with which Prof. Stachniss explains the concepts sows your brain with new ideas. I'd watch these lectures a few times if I was thinking of research or project ideas.

@hl-qz1ec 2 жыл бұрын

Impressive how the lecturer makes sure to take the listeners along in every step of his explanation! Great example of a researcher dedicated to passing along his knowledge imho.

@CyrillStachniss 2 жыл бұрын

Thanks

@yassineghouaiel4852 3 жыл бұрын

Great video on the topic & Great professor :) . Thanks a lot!

@starlite5097 3 жыл бұрын

Thanks a lot for this video, it's very helpful.

@ddDeaaaan 4 ай бұрын

This video is terrific

@anascharoud4540 3 жыл бұрын

Thanks, that's a great video

@Shah_Khan 3 жыл бұрын

Thanks Professor.

@ajaykumarg3249 2 жыл бұрын

Very impressive and well-explained professor, Thank you so much. So do you have suggestions for a preferable approach for highway lane matching localization between ICP & Particle filtering? Is there any specific advantages or disadvantageous over each method?

@fakhriddintojiboev7252 2 жыл бұрын

Thanks for the super video! From 30:35 you started explaining MCL. What is the distribution of p( z | x, m) ? Is it Gaussian, Uniform? Or does it depend on the problem? What distribution do people use as a likelihood ( p( z | x, u) ) in most cases? Thanks for your attention!

@moeintaherkhani7289 7 ай бұрын

In the context of MCL, you don't really need to concern yourself with what kind of distribution p(z | x, m) assumes because you're not sampling from it; rather, you explicitly evaluate its value for every particle and use it as weight. For further info on observation model distributions however, you can refer to Ch.6 of "Probabilistic Robotics".

@menoone2042 Жыл бұрын

Wow Germans are top notch when it comes to technology.

@kameelamareen Жыл бұрын

Still not sure on how the weights are being computed , like how are the probability distributions of the model state propagation or the observation model ? A bit not able to visualize the distribution , is it tabular form or ? thanks in advance !