Detecting Driver Assaulting and Attacks Event for Hazardous Material Transportation

Authors

  • Shihong Li Digitalization and Information Center, Changqing Oilfield, PetroChina, Xi'an, China
  • Xiangbo Wang Digitalization and Information Center, Changqing Oilfield, PetroChina, Xi'an, China
  • Lifeng Zhao Digitalization and Information Center, Changqing Oilfield, PetroChina, Xi'an, China
  • Zhipeng Chen Digitalization and Information Center, Changqing Oilfield, PetroChina, Xi'an, China
  • Yaping Fan Digitalization and Information Center, Changqing Oilfield, PetroChina, Xi'an, China
  • Lu Yang Digitalization and Information Center, Changqing Oilfield, PetroChina, Xi'an, China
  • Helix Xie Zhejiang Sunleads Beidou Navigation Tech. Co., LTD., Huzhou, China
  • Ning Zhou Zhejiang Sunleads Beidou Navigation Tech. Co., LTD., Huzhou, China
  • Sumei Xia Zhejiang Sunleads Beidou Navigation Tech. Co., LTD., Huzhou, China
  • Qihui Wang Zhejiang Sunleads Beidou Navigation Tech. Co., LTD., Huzhou, China
  • Yan Wang Zhejiang Sunleads Beidou Navigation Tech. Co., LTD., Huzhou, China
  • Wenhui Shen Zhejiang Sunleads Beidou Navigation Tech. Co., LTD., Huzhou, China
  • Xiaoxin Pi Mafu Laboratory, Moxin Tech., Huzhou, China
  • T. R. Chen Mafu Laboratory, Moxin Tech., Huzhou, China
  • Shuashua Mao Mafu Laboratory, Moxin Tech., Huzhou, China

Keywords:

computer vision, hazardous material transportation, tourism

Abstract

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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Published

13-07-2022

How to Cite

[1]
S. Li, “Detecting Driver Assaulting and Attacks Event for Hazardous Material Transportation”, IJRESM, vol. 5, no. 7, pp. 35–37, Jul. 2022.

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Section

Articles