{'fraction_non_alphanumeric': 0.011784511784511785, 'fraction_numerical': 0.0, 'mean_word_length': 5.397849462365591, '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}}
Design of Multi-sensor Information Fusion in Deceleration Early Warning System

This paper summarizes the general principles of multi-sensor data fusion. In order to solve the problems of inaccurate information and missing detection of single sensor, millimeter wave radar and infrared thermal detection are selected as fusion data sources by comparing the typical sensors in common use. A two-stage fusion detection and recognition scheme based on millimeter wave radar and infrared thermal detection is proposed to improve the accuracy of target recognition and reduce missing detection rate.