{'fraction_non_alphanumeric': 0.011804384485666104, 'fraction_numerical': 0.0, 'mean_word_length': 5.744318181818182, '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}}
Advanced Intelligent Platform for Small Autonomous Vehicles

Intelligent small autonomous vehicle architectures are currently a priority area for the use of modern technologies and systems in both civilian and military fields. The aim of this paper is to design a complex advanced methodology and platform for the development of a prototype of an autonomous vehicle system (small UGV) using nested sensing, control and monitoring elements of systems for reconnaissance, servicing and selected combat activities. This paper presents a novel complex methodology for design of an advanced complex platform for small autonomous vehicle based on robust and intelligent SW and HW sensors, communication, visualization and control based on embedded computing. Algorithms for self-tuning control and navigation in uncertain complex processes are proposed. Several types of intelligent control and strategy are analyzed and compared. Simulation and practical experiments results are provided to illustrate high performance in the practical platform design of small autonomous vehicles. The obtained practical results are reviewed and potential shortcomings of the analyzed methods are discussed.