Results 21 to 30 of about 6,853 (246)
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
doaj +1 more source
Anomaly Detection in Roads with a Data Mining Approach
Procedia Computer Science, 2017 Road condition has an important role in our daily live. Anomalies in road surface can cause accidents, mechanical failure, stress and discomfort in drivers and passengers. Governments spend millions each year in roads maintenance for maintaining roads in good condition.
Nuno Silva 0004 +4 more
openaire +2 more sources
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
Santhosh Kelathodi Kumaran +2 more
openaire +2 more sources
Detection of Road-Surface Anomalies Using a Smartphone Camera and Accelerometer [PDF]
Sensors, 2021 Road surfaces should be maintained in excellent condition to ensure the safety of motorists. To this end, there exist various road-surface monitoring systems, each of which is known to have specific advantages and disadvantages. In this study, a smartphone-based dual-acquisition method system capable of acquiring images of road-surface anomalies and ...
Taehee Lee, Chanjun Chun, Seung-Ki Ryu
openaire +3 more sources
Detection of Road Traffic Anomalies Based on Computational Data Science [PDF]
Discover Internet of Things, 2022 Abstract The development of 5G has enabled the autonomous vehicles (AVs) to have full control over all functions. The AV acts autonomously and collects travel data based on various smart devices and sensors, with the goal of enabling it to operate under its own power.
openaire +2 more sources
A Three-Stage Anomaly Detection Framework for Traffic Videos
Journal of Advanced Transportation, 2022 As reported by the United Nations in 2021, road accidents cause 1.3 million deaths and 50 million injuries worldwide each year. Detecting traffic anomalies timely and taking immediate emergency response and rescue measures are essential to reduce ...
Junzhou Chen +3 more
doaj +1 more source
Streaming-Based Anomaly Detection in ITS Messages
Applied Sciences, 2023 Intelligent transportation systems (ITS) enhance safety, comfort, transport efficiency, and environmental conservation by allowing vehicles to communicate wirelessly with other vehicles and road infrastructure.
Juliet Chebet Moso +4 more
doaj +1 more source
A Drift-Aware Online Learner for Anomaly Detection from Streaming Data [PDF]
هوش محاسباتی در مهندسی برق, 2022 Streaming data has been evolved in a dynamically changing and evolving environment. Therefore, concept drift or changing the underlying distribution of data over time is considered as an important challenge in processing this type of data.
Maryam Amoozegar +3 more
doaj +1 more source
Anomaly Detection on Roads Using C-ITS Messages
, 2020 Cooperative Intelligent Transport Network is one of the most challenging issue in networking and computer science. In this area, huge amount of data are exchanged. Smart analysis of this collected data could be achieved for many purposes: traffic prediction, driver profile detection, anomaly detection, etc.
Moso, Juliet Chebet +6 more
openaire +2 more sources
Detecting Anomalies and Obstacles in Road Scenes
, 2023 We address the problem of segmenting anomalies and unusual obstacles in road scenes for the purpose of self-driving safety. The objects in question are not present in the common training sets as it is not feasible to collect and annotate examples for every possible danger on the road.
openaire +1 more source