Response-based methods to measure road surface irregularity: A state-of-the-art review
Purpose With the development of smart technologies, Internet of Things and inexpensive
onboard sensors, many response-based methods to evaluate road surface conditions have …
onboard sensors, many response-based methods to evaluate road surface conditions have …
Edge AI‐Based Automated Detection and Classification of Road Anomalies in VANET Using Deep Learning
Road surface defects are crucial problems for safe and smooth traffic flow. Due to climate
changes, low quality of construction material, large flow of traffic, and heavy vehicles, road …
changes, low quality of construction material, large flow of traffic, and heavy vehicles, road …
Applications of machine learning and artificial intelligence in intelligent transportation system: A review
D Gangwani, P Gangwani - … of Artificial Intelligence and Machine Learning …, 2021 - Springer
Due to the tremendous population growth in the country, the use of vehicles and other
transportation means has increased which has led to traffic congestion and road accidents …
transportation means has increased which has led to traffic congestion and road accidents …
A deep learning approach to automatic road surface monitoring and pothole detection
B Varona, A Monteserin, A Teyseyre - Personal and Ubiquitous Computing, 2020 - Springer
Anomalies in road surface not only impact road quality but also affect driver safety, mechanic
structure of the vehicles, and fuel consumption. Several approaches have been proposed to …
structure of the vehicles, and fuel consumption. Several approaches have been proposed to …
A review of road surface anomaly detection and classification systems based on vibration-based techniques
EA Martinez-Ríos, MR Bustamante-Bello… - Applied Sciences, 2022 - mdpi.com
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 …
usage, loads, and the age of the infrastructure. These sources of decay generate anomalies …
Automated road defect and anomaly detection for traffic safety: a systematic review
Recently, there has been a substantial increase in the development of sensor technology.
As enabling factors, computer vision (CV) combined with sensor technology have made …
As enabling factors, computer vision (CV) combined with sensor technology have made …
[HTML][HTML] Rdd-yolov5: road defect detection algorithm with self-attention based on unmanned aerial vehicle inspection
Y Jiang, H Yan, Y Zhang, K Wu, R Liu, C Lin - Sensors, 2023 - mdpi.com
Road defect detection is a crucial aspect of road maintenance projects, but traditional
manual methods are time-consuming, labor-intensive, and lack accuracy. Leveraging deep …
manual methods are time-consuming, labor-intensive, and lack accuracy. Leveraging deep …
A response-type road anomaly detection and evaluation method for steady driving of automated vehicles
Serious Road anomalies caused by bridge approach settlement, pavement rutting, etc., not
only seriously affect traffic safety and user experience but also aggravate the damage of …
only seriously affect traffic safety and user experience but also aggravate the damage of …
Embracing crowdsensing: An enhanced mobile sensing solution for road anomaly detection
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 …
continuously monitoring road anomalies (such as bumps and potholes) with a low-cost and …
Automatic incident detection in smart city using multiple traffic flow parameters via V2X communication
Z Iqbal, MI Khan - International journal of distributed sensor …, 2018 - journals.sagepub.com
Recent research trends in intelligent transportation system are focused toward developing
automatic incident detection systems to deal with on-road incidents including accidents …
automatic incident detection systems to deal with on-road incidents including accidents …