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, a robust traffic sign recognition system is introduced for driver assistance applications and/or autonomous cars. The system incorporates two major operations, traffic sign detection and classification. The sign detection is based on color segmentation and incorporates hue detection, morphological filter and labeling. A nearest neighbor classifier is introduced for sign classification...
This paper presents a popular method called boosted hog features to detect pedestrians and vehicles in static images. We compared the differences and similarities of detecting pedestrians and vehicles, then we selected boosted hog features to get an satisfying result. In the part of detecting pedestrians, Histograms of Oriented Gradients (HOG) feature is applied as the basic feature due to its good...
Neural networks provide a solution to overcome drawbacks of the quantitative fault diagnosis because first, they are capable to model off-line the behaviour of linear and non-linear systems. Secondly, they can also learn on-line the behaviour of a system requiring no priori knowledge about the system. The neural networks are particularly good for fault diagnosis of systems that have imperfect models...
A model based method is presented which uses supervised artificial neural networks for autopilot design of agile air vehicles with highly non-linear and rapidly time-varying dynamics. Model Reference Control (MRC) techniques applying neural networks are utilized to design a lateral controller for a generic air vehicle. The neural controller is verified in a nonlinear three degree-of-freedom (3DoF)...
This work describes a vehicle detection system that uses fusion of vision and radar data. The radar provides a first estimation of the lateral position of vehicle candidates and the related distance information. This information is used to define a region of interest (ROI) that is subject to verification. A video camera is used for the verification purpose. The projection of the ROI onto the image...
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...
The problem of the path generation for the autonomous robot vehicle in environment with stationary and moving obstacles is considered. An algorithm, named MKBC, based on modified Kohonen rule and behavioral cloning is developed. The MKBC algorithm, as improvement of RBF neural network, uses the training values as weighting values, rather then values from the previous time. This enables an intelligent...
Virtual reality (driving simulators) tends to generalize for the study of human behavior in mobility. It is thus crucial to ensure that perception of space and motion is little or not affected by the virtual environment (VE). The aim of this study was to determine a metrics of distance perception in VEs and whether this metrics depends on interactive factors: stereoscopy and motion parallax. After...
Motor vehicle accidents are one of the main killers on the road. Modern vehicles have several safety features to improve the stability and controllability. The tire condition is critical to the proper function of the designed safety features. Under or over inflated tires adversely affects the stability of vehicles. It is generally the vehicle's user responsibility to ensure the tire inflation pressure...
Much research is being carried out in autonomous driving of vehicles under various disciplines but very few autonomous navigating vehicles are developed till date. This paper presents a novel technique, with a practical example, for the representation of navigational information under real-time considerations. Machine learning algorithms can easily be trained with the data sets developed from the...
Vehicle classification has crop up as an important field of study due of its importance in variety of applications like surveillance, security framework, traffic congestion prevention and accidents avoidance etc. The image sequences for traffic scenes are recorded by a stationary NI smart camera. The video clip is processed in LabVIEW to detect vehicle and measure characteristics like width, length,...
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...
Pedestrian Detection is a critical technique for avoiding the collision between the vehicle and people, and it can be used in the advanced driver assistance system. Most research of the pedestrian detection areas are focused on the standing or walking people at the training process. INRIA's pedestrian dataset is composed of persons standing and facing the front, however another datasets comprise various...
Apprenticeship learning occurs via observations while an expert is in action. A hyper-heuristic is a search method or a learning mechanism that controls a set of low level heuristics or combines different heuristic components to generate heuristics for solving a given computationally hard problem. In this study, we investigate into a novel apprenticeship-learning-based approach which is used to automatically...
JEDEC DDR4 SDRAM adopted the internal Data (DQ) reference voltage (VREFDQ) generation scheme as opposed to DDR3 SDRAM where VREF was generated by an external device that produced fixed (constant) voltage irrespective of the loading on the device, power supply variations, temperature changes, and the passage of time. With the introduction of Per DRAM Addressability (PDA) in DDR4 memory and the internal...
An ongoing trend to connect vehicles for advanced driver assistance and driver information can be observed in the automotive industry. Whereas the channel into the car has been used for years for example by Traffic Message Compact (TMC), functions using the channel out of the car are just evolving. This paper presents a new functionality for extended floating car data (XFCD) where vehicles are used...
The proposed work describes a distribution-based approach for recognizing people in images. The methodology involves pattern classification using first and second order statistics in Principal Component Analysis (PCA) - based clustering framework. Unknown distributions of pedestrian and non-pedestrian patterns are approximated by learning the first and second order statistics of the sample images...
Logo identification and classification have received considerable attention from both the machine learning and computer vision communities. Vehicle logo recognition (VLR) is used to recognise accurately the manufacturer of a vehicle by using its iconic logo. A VLR system in addition to license plate recognition aims to increase the confidence of vehicle monitoring systems in private environments such...
In this paper we are going to estimate the vehicular traffic density by using acoustic or sound signals. Here we will estimate three probable conditions of traffic that is heavy flow traffic (0-10km/h), medium flow (20-40km/h), and free flow (above 40km/h) traffic. Cumulative sound signals consist of various noises coming from various part of vehicles which includes rotational parts, vibrations in...
In densely populated areas, we currently see a paradigm shift in personal mobility. For the younger generation, car usership is gradually replacing the need of car ownership. However, for example, when relying on car sharing solutions, users often spontaneously drive cars they are not used to. Results are increased stress and a higher risk of accidents. For that reason, we present a mobile application-based...
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.