{'fraction_non_alphanumeric': 0.011345218800648298, 'fraction_numerical': 0.0, 'mean_word_length': 5.717391304347826, '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}}
Omnidirectional Vision Navigation Integrating Bancon Recognition With Positioning

This paper presents a recent development of the dynamic omnidirectional vision navigation technique which uses a fish-eye lens to map an entire scene of the surroundings. A beacon recognition approach based on the omni-vision characteristics is described. The navigation software integrating the beacon recognition with robot positioning is provided for practical application. The results of preliminary experiments are presented in this paper. The development of the method will lead to practical navigation module for mobile robots.