Results 11 to 20 of about 16,477 (251)
Toward Practical Crowdsourcing-Based Road Anomaly Detection With Scale-Invariant Feature
IEEE Access, 2019 Road anomaly detection with crowdsourced sensor data has become an increasingly important field of research over the last few years. Traditional ways for road anomaly detection are either threshold-based detection techniques or feature-based detection ...
Yuanyi Chen +3 more
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Applied Sciences, 2022 Road surfaces suffer from sources of deterioration, such as weather conditions, constant usage, loads, and the age of the infrastructure. These sources of decay generate anomalies that could cause harm to vehicle users and pedestrians and also develop a ...
Erick Axel Martinez-Ríos +2 more
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Road Surface Monitoring Using Smartphone Sensors: A Review
Sensors, 2018 Road surface monitoring is a key factor to providing smooth and safe road infrastructure to road users. The key to road surface condition monitoring is to detect road surface anomalies, such as potholes, cracks, and bumps, which affect driving comfort ...
Shahram Sattar +2 more
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Road Traffic Anomaly Detection Based on Fuzzy Theory
IEEE Access, 2018 The road traffic scenes are usually complex and the traffic video is vulnerable to external factors such as light, weather, and obstructions. It is difficult to extract the traffic parameters and detect the traffic anomaly exactly with the existing image
Yanshan Li +3 more
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Embracing Crowdsensing: An Enhanced Mobile Sensing Solution for Road Anomaly Detection
ISPRS International Journal of Geo-Information, 2019 Road anomaly detection is essential in road maintenance and management; however, continuously monitoring road anomalies (such as bumps and potholes) with a low-cost and high-efficiency solution remains a challenging research question.
Xiao Li +5 more
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Graph Multi-Resolution Transformer for Road Traffic Anomaly Detection
IEEE AccessTraffic anomaly detection has become increasingly vital for ensuring the safety, efficiency, and resilience of urban transportation systems. The emergence of megacities and the integration of autonomous vehicles (AVs) introduce new challenges for anomaly
Donghyun Park +3 more
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A three-tier road condition classification system using a spiking neural network model
Journal of King Saud University: Computer and Information Sciences, 2022 Road surface anomaly detection and classification based on crowd-sourced smart phone sensor data has become an important area of research over the last decade due to its potential benefits to road maintenance.
Moses Apambila Agebure +2 more
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Unmasking Anomalies in Road-Scene Segmentation
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 ICCV ...
Shyam Nandan Rai +4 more
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PROBABILISTIC-BASED CROWDSOURCING TECHNIQUE FOR ROAD SURFACE ANOMALY DETECTION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Road surface monitoring is a critical key factor to serve the purpose of road safety and driving comfort. Recently, many efforts have been made in developing approaches to detect road surface anomalies using smartphone sensors.
S. Sattar, S. Li, M. Chapman
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Anomaly Detection in Road Traffic Using Visual Surveillance [PDF]
ACM Computing Surveys, 2020 Computer vision has evolved in the last decade as a key technology for numerous applications replacing human supervision. Timely detection of traffic violations and abnormal behavior of pedestrians at public places through computer vision and visual surveillance can be highly effective for maintaining traffic order in cities. However, despite a handful
K. K. Santhosh, D. P. Dogra, P. P. Roy
openaire +2 more sources