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The fatigue level of the driver changes due to many factors such as monotonous job of continuous attentive driving, road traffic, un-healthy road conditions, insufficient sleep, stress level, changing work habits and adverse environmental conditions. This paper provides an alternative approach for design of fatigue classifier for vehicular drivers using Skin Conductance (SC) signal to save the loss...
This paper introduces a novel method that effectively and efficiently encodes the spatial geometric information of bag of visual words (BoW) to boost the performance of large scale partial duplicate image discovery and clustering. The loose cyclic spatial verification (LCSV) technique projects the locations of BoWs onto the perimeter of a circle centred around their geometric centroid and encodes...
This paper presents an efficient method of vehicle counting based on convolutional neural network (CNN) with virtual coils. Within virtual coils, foreground is obtained by background substraction. Vehicle is then detected by voting of virtual coil sub-regions. To deal with vehicle cross-lane cases, a cascade classifier combining connected component analysis (CCA) and CNN is adopted. Experiments are...
We propose an obstacle classification method using multi feature comparison based on 2D LIDAR. The existing obstacle classification method based on 2D LIDAR has an advantage in terms of accuracy and shorter calculation time. However, it was difficult to classify obstacle type, and therefore accurate path planning was not possible. To overcome this problem, a method of classifying obstacle type based...
The interaction of a cyber-physical system (CPS) may impose additional constraints upon cyber aspects of the system. For instance, sensing and actuation often require nonpreemption to ensure “accuracy” in data acquisition (e.g., radar sensors in automotive a cruise control system). Furthermore, CPS may require that a system adapts to changing environment which requires support for multiple operating...
Localization of transport vehicles is an important issue for many intralogistics applications. The paper presents an inexpensive solution for indoor localization of vehicles. Global localization is realized by detection of RFID transponders, which are integrated in the floor. The paper presents a novel algorithm for fusing RFID readings with odometry using Constraint Kalman filtering. The paper presents...
In this paper we present a framework for Quality of Information (QoI)-aware networking. QoI quantifies how useful a piece of information is for a given query or application. Herein, we present a general QoI model, as well as a specific example instantiation that carries throughout the rest of the paper. In this model, we focus on the tradeoffs between precision and accuracy. As a motivating example,...
The rapid market shift to multi-functional mobile devices has created an opportunity to support activity recognition using the on-board sensors of these devices. Over the last decade, many activity recognition approaches have been proposed for various activities in different settings. Wearable sensors and augmented environments potentially have better accuracy, however performing activity recognition...
Mobility-aware cloud services such as fleet management systems need to understand the positions of mobile devices accurately in a real-time manner. Generally speaking, positioning accuracy and data traffic load are in a trade-off relation. Highly accurate real-time positioning requires frequent location data upload and hence results in heavy data traffic load. Although not all data are equally important,...
This paper investigates the applicability of the CoEnergy approach for a DC excited flux-switching motor. Based on CoEnergy data extracted from a finite element model, a macromodel of the motor is created. This “fast” model allows to work with analytical functions instead of lookup tables. The proposed model has a good accuracy when the excitation field of a DC winding prevails in the magnetization...
This paper describes an eye tracking system for drowsiness detection of a driver. It is based on application of Viola Jones algorithm and Percentage of Eyelid Closure (PERCLOS). The system alerts the driver if the drowsiness index exceeds a pre-specified level.
In this paper, we propose a new algorithm which can be used to measure the distances to objects on a stereo camera platform. Our algorithm exploits the key information obtained from a frequency domain analysis of captured images. Experimental results show that our approach provides more accurate distance measurements in real-time when compared with a conventional algorithm.
Fast detection of pedestrians moving across the roads is a big challenge for in-vehicle embedded systems. Because the shape features of on-road pedestrians are irregular and complex, so that the detection techniques cost large computational resources. However, the in-vehicle embedded systems only have limited computational resources. To resolve this challenge, we propose fast pedestrian detection...
The rapid increase in urban population due to the urbanization has led to one of the major problems in urban areas, namely, traffic congestion. With the constraint on road surface in urban areas and limited city budget, it is almost impossible to build additional streets and/or increase the road surface to support such the increase in urban traffic. As a result, a new technology known as Virtual Traffic...
Vehicular ad hoc networking (VANET) have become a significant technology in the current years because of the emerging generation of self-driving cars such as Google driverless cars. VANET have more vulnerabilities compared to other networks such as wired networks, because these networks are an autonomous collection of mobile vehicles and there is no fixed security infrastructure, no high dynamic topology...
In this paper, we design and implement a new intrusion detection and prevention schema for vehicular networks. It has the ability to detect and predict with a high accuracy a future malicious behavior of an attacker. This is unlike the current detection schémas, where there is no prevention technique since they aim to detect only current attackers that occur in the network. We used game theory concept...
The convergence of physical and digital worlds is creating unprecedented opportunities to enhance the travel experience for millions of people every day. A key to the success of these systems is a good understanding of driver behaviour under the influence of travel information. This paper presents the application of a new generation of driver behaviour models, based on neural agent (neugent) techniques,...
This paper presents an improved vision-based algorithm for detecting and recognizing vehicle logos in images captured by road surveillance cameras. Vehicle logo recognition is quite a challenging task considering the low resolution of the logos, the wide range of variability in illumination and the interference of the air-intake grille. However, our system, assessed on a set of 1386 vehicle images...
Access to accurate GSM power spectrograms in large cities can be of great interest to mobile network operators. Acquiring such information in urban settings is very challenging mainly due to the large area and high dynamics of environments. In this paper, we propose a novel scheme to tackle the large-scale mobile sensing problem. We first utilize an open source GSM project to collect RSSI values of...
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