Smartphone-based road manhole cover detection and classification

Zhou, Baoding; Zhao, Wenjian; Guo, Wenhao; Li, Linchao; Zhang, Dejin; Mao, Qingzhou; Li, Qingquan

doi:10.1016/j.autcon.2022.104344

“…They employed a random forest classifier to identify road potholes, achieving an accuracy of 95.7%, a precision of 88.5%, and a recall of 75.0%. Additionally, the study conducted by Zhou et al 18 focused on classifying the quality of manholes based on time and frequency domain features extracted from accelerometer and gyroscope data. They used a support vector machine to categorize manholes into three classes: good, average, and poor, which correspond to different levels of subsidence.…”

Section: Related Workmentioning

confidence: 99%

Evaluation of data representation techniques for vibration based road surface condition classification

Raslan

¹

,

Alrahmawy

²

,

Mohammed

³

et al. 2024

Sci Rep

2

0

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Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

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“…The MN-YOLOv5 algorithm was presented by Gue et al [56] and they were able to reduce the processing load and the size of the baseline model used for the detection of road damages. In 2022, image information and inertial sensor data from a mobile phone were combined for road damage detection [57]. The processing of such information enables the detection of pothole in different weather conditions by means of machine learning techniques and CNNs.…”

Section: Literature Reviewmentioning

confidence: 99%

Road damage detection with bounding box and generative adversarial networks based augmentation methods

Aghayan‐Mashhady

¹

,

Amirkhani

²

2023

IET Image Processing

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Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

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“…Research is also underway to detect not only potholes but also manhole covers on roads. Zhou et al [23] introduce a smartphone-based method for detecting and classifying road manhole covers, expanding the scope of pavement monitoring using smartphone sensors.…”

Section: Introductionmentioning

confidence: 99%

A Road Defect Detection System Using Smartphones

Kim

¹

,

Kim

²

2024

Sensors

Get access via publisher Add to dashboard Cite

Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

show abstract

Smartphone-based road manhole cover detection and classification

Cited by 36 publications

References 33 publications

Evaluation of data representation techniques for vibration based road surface condition classification

Evaluation of data representation techniques for vibration based road surface condition classification

Road damage detection with bounding box and generative adversarial networks based augmentation methods

A Road Defect Detection System Using Smartphones

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