{'fraction_non_alphanumeric': 0.013769363166953529, 'fraction_numerical': 0.0, 'mean_word_length': 5.689655172413793, '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}}
A Novel Subspace Method for Robot Localization Using Landmark Bearings

We propose a subspace approach to solve the robot localization problem from landmark bearings. The proposed method can utilize all bearings and the inter-landmark bearings to jointly estimate robot location and its orientation. Instead of deriving pseudo-linear equations, the proposed method improves the performance of robot localization by making use of the dimension and eigen-structure of the multidimensional similarity matrix. Simulation results demonstrate the effectiveness of the proposed algorithm.