{'fraction_non_alphanumeric': 0.016428571428571428, 'fraction_numerical': 0.0, 'mean_word_length': 5.768115942028985, '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}}
Video Warning Evaluation Technology Based on Template Matching Algorithm for Intelligent Vehicle-Infrastructure System

Intelligent vehicle-infrastructure system (IVIS) uses advanced wireless communications and the new generation of Internet technology to enable comprehensive real-time dynamic information exchange between different vehicles and between vehicles and roads. It also provides active vehicle safety control and collaborative road management based on omnidirectional acquisition and fusion of traffic information, so as to fully realize effective coordination among people, vehicles and roads. This ensures traffic safety and improves traffic efficiency. In light of the urgent need to evaluate IVIS and the technology bottleneck in current testing, a flexible, reliable method for evaluating IVIS is implemented in this paper. First, an industrial camera with quick response and low delay is used to acquire video warning signals from on-board IVIS equipment in real time. The collected images are then accurately time-aligned through a synchronous acquisition scheme based on BeiDou Pulse Per Second (PPS). After that, different grayscale template matching algorithms are used to identify video warning signals. Then these algorithms are quantitatively evaluated and compared based on the accuracy and timeliness of recognition so as to select the optimal template matching algorithm.