Perrine Aguiar

Benchmark for Evaluating Long-Term Localization in Indoor Environments under Substantial Static and Dynamic Scene Changes

Accurate localization is crucial for the autonomous operation of mobile robots. Specifically for indoor scenarios, localization algorithms typically rely on a previously generated map. However, many real-world sites like warehouses or healthcare environments violate the underlying assumption that th