Results 211 to 220 of about 6,853 (246)
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Image-Consistent Detection of Road Anomalies as Unpredictable Patches
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023We propose a novel method for anomaly detection primarily aiming at autonomous driving. The design of the method, called DaCUP (Detection of anomalies as Consistent Unpredictable Patches), is based on two general properties of anomalous objects: an anomaly is (i) not from a class that could be modelled and (ii) it is not similar (in appearance) to non ...
Vojir, Tomas, Matas, Jiri
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Testbed for the Experimental Evaluation of Road Anomaly Detection Algorithms
ICC 2022 - IEEE International Conference on Communications, 2022Eric Renault, Selma Boumerdassi
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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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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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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
Lecture Notes in Computer Science, 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.
Eric Renault +2 more
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Road anomaly estimation: Model based pothole detection
2015 American Control Conference (ACC), 2015This paper describes a model-based pothole detection algorithm that exploits a multi-phase dynamic model. The responses of hitting potholes are empirically broken down into three phases governed by three simpler dynamic system sub-models. Each sub-model is based on a rigid-ring tire and quarter-car suspension model.
Zhaojian Li 0001 +4 more
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Road Anomaly Detection by Partial Image Reconstruction with Segmentation Coupling
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021We present a novel approach to the detection of unknown objects in the context of autonomous driving. The problem is formulated as anomaly detection, since we assume that the unknown stuff or object appearance cannot be learned. To that end, we propose a reconstruction module that can be used with many existing semantic segmentation networks, and that ...
Tomas Vojir +5 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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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.
Van Khang Nguyen 0002 +2 more
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