Forging Station | Crowd Simulation Part - 1. Closest Approach Calculation @ForgingStation | Uploaded May 2021 | Updated October 2024, 5 minutes ago.
Hello!
In this video series we are going to try and produce an intelligent crowd simulation. We already have perceptrons which can be tagged to every bot, so all we have to do is to deduce a parameter to portray the bots current situation along with governing variables.
In this particular video we only calculate the distance & time to closest approach. We will see how to derive this and compute a temporary cost value.
This is still work in progress. Refactoring, fine tuning of grid system and of course the introduction of perceptron behavior will happen in the next video, which would be the only deviation from the paper.
Gradient-based steering for vision-based crowd simulation algorithms, Eurographics 2017
youtube.com/watch?v=aqOfqdm9Hcc
http://people.rennes.inria.fr/Julien.Pettre/pdf/EG2017Dutra.pdf
Hello!
In this video series we are going to try and produce an intelligent crowd simulation. We already have perceptrons which can be tagged to every bot, so all we have to do is to deduce a parameter to portray the bots current situation along with governing variables.
In this particular video we only calculate the distance & time to closest approach. We will see how to derive this and compute a temporary cost value.
This is still work in progress. Refactoring, fine tuning of grid system and of course the introduction of perceptron behavior will happen in the next video, which would be the only deviation from the paper.
Gradient-based steering for vision-based crowd simulation algorithms, Eurographics 2017
youtube.com/watch?v=aqOfqdm9Hcc
http://people.rennes.inria.fr/Julien.Pettre/pdf/EG2017Dutra.pdf
