A Review Paper on Pothole Detection Methods

2019 ◽  
Vol 7 (2) ◽  
pp. 379-383
Author(s):  
Jetashri R. Gandhi ◽  
U. K. Jaliya ◽  
D. G. Thakore
Author(s):  
Kanushka Gajjar ◽  
Theo van Niekerk ◽  
Thomas Wilm ◽  
Paolo Mercorelli

Potholes on roads pose a major threat to motorists and autonomous vehicles. Driving over a pothole has the potential to cause serious damage to a vehicle, which in turn may result in fatal accidents. Currently, many pothole detection methods exist. However, these methods do not utilize deep learning techniques to detect a pothole in real-time, determine the location thereof and display its location on a map. The success of determining an effective pothole detection method, which includes the aforementioned deep learning techniques, is dependent on acquiring a large amount of data, including images of potholes. Once adequate data had been gathered, the images were processed and annotated. The next step was to determine which deep learning algorithms could be utilized. Three different models, including Faster R-CNN, SSD and YOLOv3 were trained on the custom dataset containing images of potholes to determine which network produces the best results for real-time detection. It was revealed that YOLOv3 produced the most accurate results and performed the best in real-time, with an average detection time of only 0.836s per image. The final results revealed that a real-time pothole detection system, integrated with a cloud and maps service, can be created to allow drivers to avoid potholes.


Sensors ◽  
2021 ◽  
Vol 21 (24) ◽  
pp. 8362
Author(s):  
Mohammed Jawad Ahmed Alathari ◽  
Yousif Al Mashhadany ◽  
Mohd Hadri Hafiz Mokhtar ◽  
Norhafizah Burham ◽  
Mohd Saiful Dzulkefly Bin Zan ◽  
...  

Life was once normal before the first announcement of COVID-19’s first case in Wuhan, China, and what was slowly spreading became an overnight worldwide pandemic. Ever since the virus spread at the end of 2019, it has been morphing and rapidly adapting to human nature changes which cause difficult conundrums in the efforts of fighting it. Thus, researchers were steered to investigate the virus in order to contain the outbreak considering its novelty and there being no known cure. In contribution to that, this paper extensively reviewed, compared, and analyzed two main points; SARS-CoV-2 virus transmission in humans and detection methods of COVID-19 in the human body. SARS-CoV-2 human exchange transmission methods reviewed four modes of transmission which are Respiratory Transmission, Fecal–Oral Transmission, Ocular transmission, and Vertical Transmission. The latter point particularly sheds light on the latest discoveries and advancements in the aim of COVID-19 diagnosis and detection of SARS-CoV-2 virus associated with this disease in the human body. The methods in this review paper were classified into two categories which are RNA-based detection including RT-PCR, LAMP, CRISPR, and NGS and secondly, biosensors detection including, electrochemical biosensors, electronic biosensors, piezoelectric biosensors, and optical biosensors.


2018 ◽  
Vol 7 (3.34) ◽  
pp. 452
Author(s):  
B Manoj Yadav ◽  
N Anusha

This paper highlights pothole detection methods and identifies a cost-effective solution for potholes in order to give timely alerts to drivers to avoid accidents and vehicle damages.  


2017 ◽  
Vol 14 (12) ◽  
pp. 2153-2176 ◽  
Author(s):  
Seyed Majid Yadavar Nikravesh ◽  
Masoud Goudarzi

2016 ◽  
Vol 4 (1) ◽  
Author(s):  
R. Kumar Prajapati ◽  
M. A Ansari

Contamination of environment due to indiscriminate use of herbicides poses severe risks to soil, water and air as well as human health. Therefore, need of easy, rapid and of low cost detection methods triggered the researcher to find out new technology. Molecularly imprinted polymers (MIPs), the synthetic materials are very useful in these circumstances. It offers several advantages to the environmental scientist, chemist, pharmaceutical, and agro food industry for analysis, sensoring, extraction, or preconcentration of analytes. The high toxicity of herbicides and their large use in modern agriculture practices has increased public concerns. In this review paper, imprinting and detection of herbicide, the recognition and transport properties of molecularly imprinted polymer (MIP) membranes prepared for herbicides such as Isoproturon and 2,4-D in particular have been discussed.


1978 ◽  
Vol 48 ◽  
pp. 7-29
Author(s):  
T. E. Lutz

This review paper deals with the use of statistical methods to evaluate systematic and random errors associated with trigonometric parallaxes. First, systematic errors which arise when using trigonometric parallaxes to calibrate luminosity systems are discussed. Next, determination of the external errors of parallax measurement are reviewed. Observatory corrections are discussed. Schilt’s point, that as the causes of these systematic differences between observatories are not known the computed corrections can not be applied appropriately, is emphasized. However, modern parallax work is sufficiently accurate that it is necessary to determine observatory corrections if full use is to be made of the potential precision of the data. To this end, it is suggested that a prior experimental design is required. Past experience has shown that accidental overlap of observing programs will not suffice to determine observatory corrections which are meaningful.


Author(s):  
Anne F. Bushnell ◽  
Sarah Webster ◽  
Lynn S. Perlmutter

Apoptosis, or programmed cell death, is an important mechanism in development and in diverse disease states. The morphological characteristics of apoptosis were first identified using the electron microscope. Since then, DNA laddering on agarose gels was found to correlate well with apoptotic cell death in cultured cells of dissimilar origins. Recently numerous DNA nick end labeling methods have been developed in an attempt to visualize, at the light microscopic level, the apoptotic cells responsible for DNA laddering.The present studies were designed to compare various tissue processing techniques and staining methods to assess the occurrence of apoptosis in post mortem tissue from Alzheimer's diseased (AD) and control human brains by DNA nick end labeling methods. Three tissue preparation methods and two commercial DNA nick end labeling kits were evaluated: the Apoptag kit from Oncor and the Biotin-21 dUTP 3' end labeling kit from Clontech. The detection methods of the two kits differed in that the Oncor kit used digoxigenin dUTP and anti-digoxigenin-peroxidase and the Clontech used biotinylated dUTP and avidinperoxidase. Both used 3-3' diaminobenzidine (DAB) for final color development.


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