{'fraction_non_alphanumeric': 0.018485915492957746, 'fraction_numerical': 0.0008802816901408451, 'mean_word_length': 5.572254335260116, '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}}
Railway Platform Clearance Measurement Method Based on Monocular Computer Vision Assisted with Structured Light

Railway platform clearance is directly related to the safe operation of trains and the personal safety of passengers. Precise, efficient, and real-time platform clearance inspection is of importance to the safety of railway operations. Considering the shortcomings of the contact measurement method, such as low efficiency, low precision, and many manual operations, a platform clearance measurement system based on monocular computer vision assisted with structured light is proposed. The coordinate of corner points from the calibration ruler is determined by the LSD algorithm to compute a transformation matrix from Image Coordinate System (ICS) to World Coordinate System (WCS). Then, based on homography transformation, the world coordinates of the platform are obtained by the transformation matrix; and used to calculate different types of clearances. The experiments show that the precision can reach 5mm by using the system. It can effectively meet the requirements of railway operation and have a broad prospect.