Detecting Driver Assaulting and Attacks Event for Hazardous Material Transportation
Keywords:computer vision, hazardous material transportation, tourism
Ensuring the safety of hazardous material transportation is essential. Many previous works have made efforts in designing preventive measures to avoid disastrous accidents, such as through careful route planning and strict regulatory requirements. However, there are also external hazards of human aspects for hazardous material transportation – for example, the terrorism. Since 9/11, terrorism has become an ongoing hot-button issue worldwide. Due to the very nature of hazardous materials transport vehicles, once these vehicles are targeted by terrorism, they become a tool for destroying cities, governments, and societies. Some past works have discussed the assessment and the avoidance of terrorist attacks for hazardous material transportation theoretically, we hereby present our solution that directly monitors and detects driver assaulting & attacks event using on-board cameras and computer vision techniques. In this work, we summarized the related techniques that can be applied to the detection and assessment of assaulting & attacks event, and provide insights into how the detection and assessment can promote the safety of transportation and a larger group of population.
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Copyright (c) 2022 Shihong Li, Xiangbo Wang, Lifeng Zhao, Zhipeng Chen, Yaping Fan, Lu Yang, Helix Xie, Ning Zhou, Sumei Xia, Qihui Wang, Yan Wang, Wenhui Shen, Xiaoxin Pi, T. R. Chen, Shuashua Mao
This work is licensed under a Creative Commons Attribution 4.0 International License.