Application of Vision-based Safety Warning System to Haeundae Beach, Korea

2019 ◽  
Vol 91 (sp1) ◽  
pp. 216 ◽  
Author(s):  
Jooyong Lee ◽  
Jisoo Park ◽  
Inchul Kim ◽  
Dae Young Kang
Keyword(s):  
Warning System ◽  
Safety Warning

Safety Warning System of High Temperature and Pressure Pipeline Based on GSM

2012 ◽  
Vol 241-244 ◽  
pp. 368-372
Author(s):  
Xiao Hong Huangfu ◽  
Yue Ming Liu ◽  
Tao Liu ◽  
Jun Lou ◽  
Qing Mu Cai
Keyword(s):  
High Temperature ◽  
Signal Analysis ◽  
Warning System ◽  
Surface Strain ◽  
High Temperature And Pressure ◽  
Controlling System ◽  
Safety Warning ◽  
Pressure Pipeline ◽  
Temperature And Pressure ◽  
Monitoring Software

An online safety warning system based on FBG sensing elements was developed to prevent the leakage or explosion of the high temperature and pressure pipeline. On the basis of using optical sensing interrogator, a computer monitoring software has been designed to monitor the surface strain of the high temperature pipeline, and this software was written in LabVIEW，including signal analysis, real-time view, data management and related functions. Combining the software and GSM module, a SMS warning and reversing controlling system has been developed into the remote safety warning system.

scholarly journals An Overview on Study of Identification of Driver Behavior Characteristics for Automotive Control

2014 ◽  
Vol 2014 ◽  
pp. 1-15 ◽  
Author(s):  
Na Lin ◽  
Changfu Zong ◽  
Masayoshi Tomizuka ◽  
Pan Song ◽  
Zexing Zhang ◽  
...  
Keyword(s):  
Driver Behavior ◽  
Warning System ◽  
Automotive Control ◽  
Research Directions ◽  
Safety Warning ◽  
Key Technologies ◽  
Behavior Characteristics ◽  
Vehicle Dynamics Control ◽  
Future Work ◽  
Control Study

Driver characteristics have been the research focus for automotive control. Study on identification of driver characteristics is provided in this paper in terms of its relevant research directions and key technologies involved. This paper discusses the driver characteristics based on driver’s operation behavior, or the driver behavior characteristics. Following the presentation of the fundamental of the driver behavior characteristics, the key technologies of the driver behavior characteristics are reviewed in detail, including classification and identification methods of the driver behavior characteristics, experimental design and data acquisition, and model adaptation. Moreover, this paper discusses applications of the identification of the driver behavior characteristics which has been applied to the intelligent driver advisory system, the driver safety warning system, and the vehicle dynamics control system. At last, some ideas about the future work are concluded.

scholarly journals Research on the Influence of Vehicle Speed on Safety Warning Algorithm: A Lane Change Warning System Case Study

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2683
Author(s):  
Rui Fu ◽  
Yali Zhang ◽  
Chang Wang ◽  
Wei Yuan ◽  
Yingshi Guo ◽  
...  
Keyword(s):  
Warning System ◽  
Relative Distance ◽  
Driving Safety ◽  
Lane Change ◽  
Vehicle Speed ◽  
Accuracy Rate ◽  
Safety Warning ◽  
Change Characteristics ◽  
Speed Level

Speed has an important impact on driving safety, however, this factor is not included in existing safety warning algorithms. This study uses lane change systems to study the influence of vehicle speed on safety warning algorithms, aiming to determine lane change warning rules for different speeds (DS-LCW). Thirty-five drivers are recruited to carry out an extreme trial and naturalistic driving experiment. The vehicle speed, relative speed, relative distance, and minimum safety deceleration (MSD) related to lane change characteristics are then analyzed and calculated as warning rule characterization parameters. Lane change warning rules for a rear vehicle in the target lane under four-speed levels of 60 ≤ v < 70 km/h, 70 ≤ v < 80 km/h, 80 ≤ v < 90 km/h, and v ≥ 90 km/h are established. The accuracy of lane change warning rules not considering speed level (NDS-LCW) and ISO 17387 are found to be 87.5% and 79.8%, respectively. Comparatively, the accuracy rate of DS-LCW under four-speed levels is 94.6%, 93.8%, 90.0%, and 92.6%, respectively, which is significantly superior. The algorithm proposed in this paper provides warning in the lane change process with a smaller relative distance, and the accuracy rate of DS-LCW is significantly superior to NDS-LCW and ISO 17387.

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