A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
AI-based Situation Awareness for Smart Environment
In this dissertation, we investigate the requirements for situation awareness applications and the selected existing situation awareness technologies, including pedestrians positioning, pedestrians traffic detection, pedestrians walking direction detection, pedestrians number counting, emergency detection, explosion detection, detection of calling for help, detection of seeking rescue. And we innovatively proposed a situation awareness system with a set of approaches and a mechanism that balances privacy protection and high-reliability detection. The system includes two layers which are the perception layer and the representation layer. The perception layer handles the data from the multi-mode sensors and perceives the situation of the environment. The representation layer receives the perception results from the perception layers and visualizes this information. The system considers the privacy protection requirement from the system architecture level, because the functions and the data or devices used by each layer can be controlled according to the level of crisis and the level of privacy. In the perception layer, the low-cost piezoelectric sensors, audio sensors, and cameras deployed in the environment are used according to the level of the crisis of the environment. Our piezoelectric sensors-based approach can detect if an emergency happens in the smart environment. The audio sensors or cameras are not allowed to turn on while there is no emergency. Only with piezoelectric sensors data, emergency detection, pedestrians number counting, pedestrian positioning, and pedestrians walking direction detection functions can be completed. If an emergency event is detected, the audio sensors and camera will turn on to confirm the credibility of the emergency. If indeed it is an emergency event, these additional sensors will increase the reliability of each detection function to support actions of responses to crises. In the representation layer, a 3D virtual environment is built to visualize the results of the ...
AI-based Situation Awareness for Smart Environment
In this dissertation, we investigate the requirements for situation awareness applications and the selected existing situation awareness technologies, including pedestrians positioning, pedestrians traffic detection, pedestrians walking direction detection, pedestrians number counting, emergency detection, explosion detection, detection of calling for help, detection of seeking rescue. And we innovatively proposed a situation awareness system with a set of approaches and a mechanism that balances privacy protection and high-reliability detection. The system includes two layers which are the perception layer and the representation layer. The perception layer handles the data from the multi-mode sensors and perceives the situation of the environment. The representation layer receives the perception results from the perception layers and visualizes this information. The system considers the privacy protection requirement from the system architecture level, because the functions and the data or devices used by each layer can be controlled according to the level of crisis and the level of privacy. In the perception layer, the low-cost piezoelectric sensors, audio sensors, and cameras deployed in the environment are used according to the level of the crisis of the environment. Our piezoelectric sensors-based approach can detect if an emergency happens in the smart environment. The audio sensors or cameras are not allowed to turn on while there is no emergency. Only with piezoelectric sensors data, emergency detection, pedestrians number counting, pedestrian positioning, and pedestrians walking direction detection functions can be completed. If an emergency event is detected, the audio sensors and camera will turn on to confirm the credibility of the emergency. If indeed it is an emergency event, these additional sensors will increase the reliability of each detection function to support actions of responses to crises. In the representation layer, a 3D virtual environment is built to visualize the results of the ...
AI-based Situation Awareness for Smart Environment
Yu, Yang (author) / Weis, Torben
2023-04-20
Theses
Electronic Resource
English
Situation Awareness Based Smart Contract for Modular Construction
| Springer Verlag | 2022
Springer Verlag | 2021
Assessment of operator's situation awareness for smart operation of mobile cranes
| British Library Online Contents | 2018
Assessment of operator's situation awareness for smart operation of mobile cranes
| British Library Online Contents | 2018