{'fraction_non_alphanumeric': 0.017837235228539576, 'fraction_numerical': 0.0, 'mean_word_length': 5.026845637583893, '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}}
Nighttime vehicle detection for intelligent headlight control: A review

According to road accident data, majority of the accidents occur at night. Visibility at night is major issue for safe driving. Therefore negligent drivers continue to use high beam even though oncoming vehicle is suspected. These high beams create glare for oncoming drivers and cause temporary blindness. To solve this problem, nighttime vehicle detection holds a great importance. This paper reviews various attempts made to solve the problem. The purpose of this paper is to discuss need of study, existing relevant systems and related work, different approaches to solve problem and various possible applications. The survey shows that consideration of all types of vehicles can make a system more robust. However, a simple and cost effective system needs to be developed so that, it can be implemented in each vehicle.