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Explore a conference talk from CppCon 2024 that delves into implementing particle filters for mobile robotics using modern C++ features. Learn how the C++20 ranges library and its C++23 extensions can be leveraged to create efficient and composable Monte-Carlo Localization (MCL) algorithms for both 2D and 3D autonomous navigation. Gain insights into the fundamentals of particle filters and their practical applications in robotics, followed by detailed demonstrations of building essential functions for a particle filter library. Discover how traditional MCL approaches can be transformed into more flexible and efficient solutions using C++23 ranges, presented by Nahuel Espinosa, a Software Engineer specializing in robotics at Ekumen and project lead for an open-source MCL algorithms library.
