Photogrammetric Model and Technology Used in Road Traffic Accident Scene Measurement

2000 ◽  
Author(s):  
Zonghe Guo ◽  
Zhiqiang Shang ◽  
Fengyuan Wang ◽  
Zhuangzhi Sun
Keyword(s):  
Road Traffic Accident ◽  
Traffic Accident ◽  
Road Traffic ◽  
Accident Scene

scholarly journals Feature Extraction of Broken Glass Cracks in Road Traffic Accident Site Based on Deep Learning

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Shuai Liang
Keyword(s):  
Feature Extraction ◽  
Boundary Conditions ◽  
Energy Absorption ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Road Traffic ◽  
Plate Glass ◽  
Different Boundary Conditions ◽  
The Impact ◽  
Accident Scene

This paper studies the feature extraction and middle-level expression of Convolutional Neural Network (CNN) convolutional layer glass broken and cracked at the scene of road traffic accident. The image pyramid is constructed and used as the input of the CNN model, and the convolutional layer road traffic accident scene glass breakage and crack characteristics at each scale in the pyramid are extracted separately, and then the depth descriptors at different image scales are extracted. In order to improve the discriminative power of the depth descriptor, Hellinger kernel and Principal Component Analysis (PCA) are used to perform nonlinear and linear transformations. Two aggregation strategies based on depth descriptors are proposed to form a global image representation. The classification experiment of the data set shows that Hellinger kernel, PCA transformation, and two aggregation strategies are all conducive to improving the classification accuracy. In addition, the convolutional layer road traffic accident scene glass breaking and crack feature coding can obtain better classification performance than the fully connected layer feature. We conducted dynamic impact tests on plate glass and Polyvinyl Butyral- (PVB-) laminated glass under different boundary conditions and studied the crack propagation and failure process of the glass under different impact speeds. The results show that there are radial cracks and circular cracks on the glass specimens under the impact load; the glass specimens show partial damage under high-speed impact and the characteristics of glass breaking and cracks at the scene of road traffic accidents; the four-frame plate glass is supported by sharp dagger-like fragments. This paper compares the energy absorption of glass specimens under different boundary conditions. The results show that the energy absorption effect of the four-point supporting glass specimen is generally stronger than that of the four-frame supporting glass.

Study on the Method of Making Road-Base-Map of Traffic Accident Scene

2011 ◽  
Vol 99-100 ◽  
pp. 96-99 ◽  
Author(s):  
Su Zhen Chen ◽  
Lian Bi Yao ◽  
Hang Bin Wu ◽  
Hui Li Ji ◽  
Mao Lin Men
Keyword(s):  
Road Traffic Accident ◽  
Traffic Accident ◽  
Processing Time ◽  
Road Traffic ◽  
Data Organization ◽  
Scene Graph ◽  
Road Base ◽  
Accident Scene

There are two elements in road traffic accident scene graph, base map and other elements in the site of traffic accident. The base map mainly includes traffic sings and traffic markings. Drawing traffic accident scene graph is a necessary link during disposing road traffic accident, while drawing the base map costs most of the time of drawing traffic accident scene. In order to save processing time of dealing with the traffic accident, the concept of road base map is proposed. The symbol design and data organization of the base map are analyzed. All this provides a new way to make the traffic accident scene graph.

Chest Trauma Evaluation and Outcome of Management in a Tertiary Hospital - One Year Experience

2020 ◽  
Vol 22 (2) ◽  
pp. 110-117
Author(s):  
Md Mahmudul Islam ◽  
Khondkar AK Azad ◽  
Md Aminul Islam ◽  
Rivu Raj Chakraborty
Keyword(s):  
Road Traffic Accident ◽  
Traffic Accident ◽  
Chest Trauma ◽  
Road Traffic ◽  
Tube Thoracostomy ◽  
Rib Fracture ◽  
Medical College Hospital ◽  
College Hospital ◽  
Medical College ◽  
The Mean

Background: Chest trauma is responsible for 50% of deaths due to trauma. This kind of death usually occurs immediately after the trauma has occurred. Various therapeutic options have been reported for management of chest injuries like clinical observation, thoracocentesis, tube thoracostomy and open thoracotomy. Objective: To observe the pattern and outcome of management in chest trauma Methods: This is an observational study carried out in Casualty department of Chittagong Medical College Hospital (CMCH), Chittagong, between April 2015 to March 2016. Our study was included all patients, both sexes, following chest injury at Casualty units of Chittagong Medical College Hospital. All the data were recorded through the preformed data collection sheet and analyzed. Result: The mean age was found 37.7±18.1 years with range from 12 to 80 years. Male female ratio was 11.8:1. The mean time elapsed after trauma was found 6.1±3.1 hours with range from 1 to 72 hours. Almost one third (35.7%) patients was affecting road traffic accident followed by 42(27.3%) assault, 35(22.7%) stab injury, 15(9.7%) fall and 7(4.5%) gun shot . More than three fourth (80.5%) patients were managed by tube thoracostomy followed by 28(18.2%) observation and 2(1.3%) ventilatory support. No thoracotomy was done in emergency department. 42(27.2%) patients was found open pneumothorax followed by 41(26.6%) rib fracture, 31(20.1%) haemopneumothorax, 14(9%) simple pneumothorax, 12(7.8%) haemothorax, 6(3.9%) chest wall injury, 5(3.2%) tension pneumothorax, and 3(1.9%) flail chest. About the side of tube 60(39.0%) patients were given tube on left side followed by 57(37.0%) patients on right side, 9(5.8%) patients on both (left & right) side and 28(18.2%) patients needed no tube. Regarding the complications, 13(30%) patients had persistent haemothorax followed by 12(29%)tubes were placed outside triangle of safety, 6(13.9%) tubes were kinked, 6(13.9%) patients developed port side infection, 2(4.5%)tube was placed too shallow, 2(4.5%) patients developed empyema thoracis and 2(4.5%) patients developed bronchopleural fistula. The mean ICT removal information was found 8.8±3.6 days with range from 4 to 18 days. Reinsertion of ICT was done in 6(4.7%) patients. More than two third (68.2%) patients were recovered well, 43(27.9%) patients developed complication and 6(3.9%)patients died. More than two third (66.9%) patients had length of hospital stay 11-20 days. Conclusion: Most of the patients were in 3rd decade and male predominant. Road traffic accident and tube thoracostomy were more common. Open pneumothorax, rib fracture and haemopneumothorax were commonest injuries. Nearly one third of the patients had developed complications. Re-insertion of ICT needed almost five percent and death almost four percent. Journal of Surgical Sciences (2018) Vol. 22 (2) : 110-117

Epidemiological Study of Road Traffic Accident Cases Attending the Civil Hospital, Ahmedabad

2012 ◽  
Vol 3 (8) ◽  
pp. 282-283
Author(s):  
Dr. Chhaya Lakhani ◽  
◽  
Dr. Rachana Kapadia ◽  
Dr. Dhara Prajapati ◽  
Dr. A.Bhagyalaxmi Dr. A.Bhagyalaxmi
Keyword(s):  
Epidemiological Study ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Road Traffic ◽  
Civil Hospital

ADHD is a Risk Factor of Road Crashes: A Purposive Study of Finding Relation between ADHD and Road Traffic Accident in Bangladesh

2018 ◽  
Vol 9 (08) ◽  
pp. 20531-20536
Author(s):  
Nusrat Shamima Nur ◽  
M. S. l. Mullick ◽  
Ahmed Hossain
Keyword(s):  
Risk Factor ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Fatality Rate ◽  
Road Traffic Accidents ◽  
Road Crashes ◽  
Road Crash ◽  
Day By Day

Background: In Bangladesh fatality rate due to road traffic accidents is rising sharply day by day. At least 2297 people were killed and 5480 were injured in road traffic accidents within 1st six months of 2017.Whereas in the previous year at 2016 at least 1941 people were killed and 4794 were injured within the 1st six months. No survey has been reported in Bangladesh yet correlating ADHD as a reason of impulsive driving which ends up in a road crash.

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