{'fraction_non_alphanumeric': 0.013888888888888888, 'fraction_numerical': 0.0011574074074074073, 'mean_word_length': 5.268115942028985, '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}}
Reactive collision avoidance using B-spline representation: Application for mobile robot navigation

Obstacle detection, representation and avoidance are crucial tasks for indoor and outdoor mobile robot navigation. A suitable representation of obstacles can improve the performance of obstacle avoidance. The objective of this paper is to develop a smooth representation of obstacles sensed by 2-D laser range finder in real time in unknown environments. The proposed method relies on line fitting methods while introduces a criterion to extract convex chain of an obstacle boundary. A cubic B-spline curve is then used to approximate the convexity of the obstacle boundary. We apply the proposed method to build a reactive collision avoidance task. The proposed method is validated with both simulation and experimental results of a mobile robot navigation task.