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Particle filter

Also known as: Sequential Monte Carlo, Monte Carlo localization

A probabilistic algorithm that estimates a user's position by maintaining a set of weighted hypothetical locations (particles) and updating them based on sensor observations such as Bluetooth beacon signal strengths. In indoor navigation for people with visual impairments, particle filters enable real-time localization by combining noisy wireless signals with movement models, providing more robust position estimates than single-point methods.

Category: technology · navigation · algorithms

Related: Indoor navigation · Bluetooth beacon · Turn-by-turn navigation

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