5/11/2026 at 2:52:25 PM
by jackhogan11
5/14/2026 at 7:42:43 AM
Great demo! Very interesting to see that if you wiggle the hunter (1) back and forth the accuracy improves.I think this is expected but interesting to see as you see humans and animals doing exactly this to better gauge how far away something is.
The accuracy also improves (but not as much) if you wiggle the target (2) back and forth which I wasn't expecting.
by nickcw
5/14/2026 at 5:01:51 AM
Fyi the unscented Kalman filter is both easier to implement than the EKF, and also avoids several of the requirements that come along with the need to linearize (such as the differentiability requirement mentioned in the article). Also (to me, at least) the UKF is conceptually much cleaner, as the whole point is to place the approximation in the parameterization of the distribution, rather than on the function operating on that distribution.https://groups.seas.harvard.edu/courses/cs281/papers/unscent...
by jdhwosnhw
5/14/2026 at 12:33:51 AM
Pilling on to say well done on the interactivity and visuals / design overall. I'm working to make producing posts like this universally accessible (http://motate.app/) and posts like yours are an inspiration.by stonlyb
5/14/2026 at 1:11:43 AM
Really well written article, thank you!by noen
5/13/2026 at 11:31:58 PM
nice work! the interactive visuals are really coolby jmux
5/14/2026 at 12:16:01 AM
I love a blog post with interactionby treycluff
5/14/2026 at 1:57:34 AM
love seeing purdue hackers folks on hackernews :)by rayhanadev
5/14/2026 at 3:08:41 AM
I was going to say the same thing. Purdue Hackers has grown into a much needed space at Purdue, nice to see the effects going beyond.by kritr