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Anomaly detection in driving behaviour by road profiling
2013 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops), 2013This paper presents a statistical method for detecting anomalous driving behavior by analyzing cross-sectional profiles of the road. A profile captures the way vehicles normally traverse the road; a statistical hypothesis test determines whether the observed behavior is anomalous.
Gabriel Agamennoni +3 more
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Inspect Road Quality by Using Anomaly Detection Approach
2018 International Conference on System Science and Engineering (ICSSE), 2018Road quality can be representative of a country's development status, affect transportation speeds and traveler safety. However, there is no standard or set of rules to protect people from the dangers of damaged roads. This study proposes a method for evaluating road quality, which has been made possible by the recent rapid development of information ...
Yu-Lin Jeng +2 more
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Vehicle road departure detection using anomalies in dynamics
2016 American Control Conference (ACC), 2016This research investigates the viability of detecting vehicle road departure via the measurements of anomalies in vehicle dynamics, especially under conditions when left and right tires experience imbalance of forces (split-μ condition). This approach is based on established low-order vehicle models to facilitate real-time implementation.
Hang Yang +4 more
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Road Anomaly Detection and Localization for Connected Vehicle Applications
SAE Technical Paper Series, 2023<div class="section abstract"><div class="htmlview paragraph">Road anomalies pose significant challenges for on-road safety, ride comfort, and fuel economy. The recent advancement of Connected Vehicle technology has made it feasible to overcome this challenge by sharing the detected road hazards information with other vehicles and entities.
Xiaoliang Zhu, Subrata Kumar Kundu
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Fuzzy Extensions of Isolation Forests for Road Anomaly Detection
2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2021In the presented paper the authors are showing the usage of fuzzy extensions of isolations forests for detecting road anomalies like potholes. Using the data acquired by the accelerometer in the smartphone and the proper smartphone application, the vibrations while driving over road were analyzed using multiple variants of extended isolation forests ...
Marcin Badurowicz +2 more
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Event Aggregation for Smartphone-based Road-Anomaly Detection
2019 8th International Conference on Performance Evaluation and Modeling in Wired and Wireless Networks (PEMWN), 2019The automatic identification of road anomaly can be used to reduce the risk for drivers and the maintenance cost of the roads. Nowadays, with the wide popularity of smartphones that include multiple sensors, several solutions have been proposed to detect these anomalies.
Nguyen Van Khang +2 more
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Structural inpainting of road patches for anomaly detection
2015 14th IAPR International Conference on Machine Vision Applications (MVA), 2015Obstacle detection on the road is a key function for self-driving vehicles. A lot of research has focused on detecting large obstacles such as cars and pedestrians. Small obstacles can also be the source of serious accidents, especially at high speed. We present an approach for detecting anomalies on the road using a higher-order Boltzmann machine.
Asim Munawar, Clement Creusot
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Road Anomaly Detection Using Smartphone: A Brief Analysis
2019Identification of road anomaly not only helps drivers to reduce the risk, but also support for road maintenance. Arguably, with the popularity of smartphones including multiple sensors, many road anomaly detection systems using mobile phones have been proposed.
Van Khang Nguyen +2 more
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Survey of road anomalies detection methods
International Journal of Intelligent Systems Technologies and Applications, 2023Derar Elyyan +4 more
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Anomaly Detection for Road Traffic: A Visual Analytics Framework
IEEE Transactions on Intelligent Transportation Systems, 2017The analysis of large amounts of multidimensional road traffic data for anomaly detection is a complex task. Visual analytics can bridge the gap between computational and human approaches to detecting anomalous behavior in road traffic, making the data analysis process more transparent.
Maria Riveiro +2 more
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