The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper, we present a system to estimate the health of a lead-acid car battery and warn the driver of upcoming battery failure in the near future. Most existing lead-acid battery state of health (SOH) estimation systems measure the battery impedance by sensing the voltage and current of a battery. However, current sensing is costly for parts and/or labor. A method to estimate SOH by sensing...
Character segmentation from License plate is challenging as it suffers from non-uniform illumination, blur and touching adjacent character due to head light of vehicles effect etc. This paper presents a new approach based on sharpness of character and the space regions for segmentation. We explore Gradient Vector Flow Opposite Direction Pair of pixels for seed point's selection. From the seed points,...
With growing road traffic, it becomes essential to predict the travel time of road travelers well ahead of their travel to avoid traffic mismanagement. Vehicular Adhoc Network (VANET) infrastructure is an ideal solution for such requirements. VANET uses Road Side Units (RSU) that remain as the primary and critical source to predict the traffic in any road. This paper proposes an Optimized RSU based...
We propose a method for estimating the degree of a driver's drowsiness on the basis of changes in facial expressions captured by an IR camera. Typically, drowsiness is accompanied by drooping eyelids. Therefore, most related studies have focused on tracking eyelid movement by monitoring facial feature points. However, the drowsiness feature emerges not only in eyelid movements but also in other facial...
Present work analyses the continuous self-calibration of extrinsic parameters of a stereo vision system for safe visual odometry applications in vehicles at urban environments. The calibration method determines the extrinsic parameters of a stereo vision system based on knowing the geometry of the ground in front of the cameras. The slight changes of the road profile cause variations in the extrinsic...
An important cause of road accidents is the reduced visibility due to the presence of fog or haze. For this reason, there is a fundamental need for Advanced Driving Assistance Systems (ADAS) based on efficient real time algorithms able to detect the presence of fog, estimate the fog's density, determine the visibility distance and inform the driver about the maximum speed that the vehicle should be...
It is essential for vehicles acquiring one's own current position to navigate autonomously. Especially, vehicles usually do not clearly obtain GPS information at indoor environments. In order to localize itself, vehicles have to use absolute and relative measurement systems from surrounding environmental and its driving information. Absolute position information such as environmental structures and...
The problem of parameter identification of nonlinear dynamic models in horizontal and vertical planes of autonomous underwater vehicle is considered in this paper. To estimate the parameters of nonlinear models the algorithm based on the prediction error minimization is proposed, and then the estimated nonlinear models are used to find the adequate linear model for motion control system synthesis.
With the need of localization based services increasing, many algorithms are proposed using distance between two points and path loss exponent of the environment. In this paper, we propose an algorithm using received signal strength, Doppler Effect and frequency diversity in vehicular networks. The algorithm can estimate the path loss exponent and distance dynamically in mobile communication environment...
This paper proposes a methodology to obtain a synthetic driving cycle by using GPS data as input. The aim is to obtain a driving cycle that is representative of a given condition when used for energy consumption studies. The methodology begins with a data acquisition phase, where an adequate sampling frequency is proposed. Velocity raw data are processed and clustered to capture a mobility global...
Accurately estimating node density in Vehicular Ad hoc Networks (VANETs) is a challenging and crucial task. Various approaches exist yet none are able to deliver an accurate estimation in all situations especially in presence of collision in highly saturated networks. This paper describes an adaptive framework that allows individual nodes to estimate the real-time node density of their surrounding...
Combating interference is an important yet challenging issue for multiuser communications especially in the harsh underwater acoustic environment. In this paper, a novel Angle-Of-Departure (AOD)-based technique is proposed, which accounts for the inherent position uncertainty of underwater propeller-driven Autonomous Underwater Vehicles (AUVs) or buoyancy-driven gliders. A new probabilistic Space...
The cooperative vehicle localization using DSRC (Dedicated Short Range Communication) is of great significance in many future transportation applications. An overlay function of DSRC has been explored with vehicular communication and it is with great potentials to achieve accurate and reliable vehicle cooperative localization with assistance from the GNSS (Global Navigation Satellite System) receivers...
As the popularity of the smartphone is increasing, the number of people getting involved in accidents with vehicles while using their smartphones is also increasing. Pedestrians divert their attention from walking because of the attraction of smartphone, which causes the accidents. It is critical to design a pedestrian-oriented system to alert the pedestrian smartphone users to imminent dangers while...
Estimating the localization of an autonomous robot is a key problem in robotics. Monocular cameras have been successfully used to solve this problem, but they suffer with the absence of depth information. It limits measurements made with only monocular cameras to be recoverable only up to a scale. This condition is known as scale ambiguity. In this paper we propose an approach to solve the scale ambiguity...
Embedded systems are steadily growing in complexity and nowadays power consumption additionally plays an important role. Designing and exploring such systems embedded in its environment demand for holistic and efficient simulations. In this work we use a simulation framework based on the HLA (High-Level Architecture) and the modeling tool Ptolemy II to enable complex heterogeneous distributed simulations...
It is widely known that many traffic accidents occur every year, not only in Japan but also in the world. Drowsiness or sleepiness, which is the cause of dozing at the wheel, happens regardless of the physical condition of the driver after having meals or during midnight. This means that to avoid driver's drowsiness or sleepiness by oneself is hard. Therefore, various systems have been proposed to...
As Automotive industry is growing very fast and estimation of fuel level and its indication is very much required to make aware the vehicle owner about the distance it can cover. Thus the requirement of fuel level management system and associated algorithms becomes more prominent. The system have to be robust, effective and durable. So as to provide the exact calibrated value to the owner, and will...
A longitudinal velocity estimation scheme is analyzed in this paper. Besides, its adaptation for being used in a rear-wheel drive (2WD) Electric Vehicle (EV) is evaluated. The velocity estimation is based on the fusion of the available measurements, which are the vehicle longitudinal acceleration and angular velocities on each wheel. The aim of this analysis is to obtain an accurate longitudinal-velocity...
A local series expansion of a received signal is proposed for computing direction of arrival (DOA) in sensor arrays. The advantages compared to classical DOA estimation methods include general sensor configurations, ultra-slow sampling, small dimension of the arrays, and that it applies for both narrowband and wideband signals without prior knowledge of the signals. This makes the method well suited...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.