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## Description
Both QuickMCL and AMCL seem to have for a long time used a formula for aggregation of the likelihood `p` that does not match the model proposed in Probabilistic Robotics (Table 6.3).…
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I don't quite understand the odometer model used in the code. Is it a model from probabilistic robotics ? If so, which one?
thank you
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I'm using the following resampling algorithm (with replacement) from Thrun, Burgard, and Fox's "Probabilistic Robotics" as part of a particle filter implementation. Would this be appropriate to inclu…
ssfrr updated
5 years ago
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Hi!
Great work! Do you plan on releasing the code for the temporal fusion (described in Section 3.2) as well?
Cheers
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Sorry to bother you but just wondering if you went through the Probablistic Robotics textbook and then renamed variables so they make more sense.
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Can someone please explain lines 77 to 88 in odometrymotionmodel.cpp
? I dont understand it mathematically.
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**Problem:**
MIT has its course on deep learning MIT 6.S191 that is updated every year and is a high quality resource attented by many students around the globe.
**Duration:**
26 April 2022
*…
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## Description
From _Probabilistic Robotics, Chapter 4.2.4_:
> [...] the resampling process induces a loss of diversity in the particle population, which in fact manifests itself as approximatio…
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Once it is packaged all nice like for importing elsewhere, you're ready to start applying covariance tracking to more specific examples. One huge huge point of data that needs to be refined and as re…
AWatk updated
6 years ago