{'fraction_non_alphanumeric': 0.02112676056338028, 'fraction_numerical': 0.0, 'mean_word_length': 4.925, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Set-membership non-linear observers with application to vehicle localisation

This communication proposes to re-consider the localization problem (i.e. the configuration estimation) of a moving car as the state estimation of a discrete-time non-linear process. The use of set-theoretic concepts for state estimation is presented under the form of the computation of the direct and reverse images of a set by a function using interval analysis. One simplification of the computation of the direct image is shown for a class of non-linear systems and enables to reduce the computational complexity of the algorithm. The considered application belongs to this class and the method is applied to experimental data.