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.
Distance estimation for marine vessels is of vital importance to unmanned ship vehicles (USVs) for navigation and collision prevention. This can be achieved by means such as radar or laser sighting. However, due to constraints of the USV, it may be desired to estimate distance using a monocular camera. In this paper, we propose a method that, given a video of a marine vehicle in a maritime environment...
Detecting roads using monocular vision is a very challenging task as the detection algorithm must be able to deal with complex real-road scenes. In this paper, we describe an algorithm for general path segmentation. There are three main technical contributions of the approach. First, a path segmentation framework is presented, which formulates road detection as a Bayesian posteriori estimation problem...
Nowadays railway vehicle speed sensors suffer from insufficient measurement accuracy. E. g. the Doppler radar is prone to adverse weather conditions while wheel speed sensors are not sufficiently robust against wheel slip and wheel wear. However, since velocity sensors are safety relevant components, it becomes clear that conventional sensors are not able to cover all the requirements for an everyday...
Anomaly detection in bipartite graph is of great use in many real applications and therefore it attracts numerous research efforts. This work formulates the supervision on abnormal activities in vehicle inspection stations as an anomaly detection problem in weighted bipartite graph. Relevance scores and normality scores are computed for registration districts and inspection stations. The suspicion...
Lagrangian Traffic model which follows a platoon of vehicle has the benefit of convenient utilization of individual vehicle data and easy distribution of traffic information to the drivers. The objective of this paper is to develop a stochastic Lagrangian traffic flow model which uses probe vehicle data to predict traffic status. The proposed probing method tracks vehicles in pairs to collect speed...
In this work a distributed algorithm for the optimization of signal setting on urban network is proposed. The Traffic Signal Synchronization is a traffic engineering technique of matching the green light times for a series of intersections to enable the maximum number of vehicles to pass through, thereby reducing stops and delays experienced by motorists. Synchronizing Traffic Signals ensures a better...
Headlights detection is the key point for the automatic recognition of the turned-on high beams in night-driving vehicles, however, it is uneasy to identify the quite similar vehicle light targets from the video frame images. To solve this problem, an accurate algorithm for headlights region segment is proposed in this paper, which is based on the confidence intervals estimation of the vehicle width...
Many research topics related to a battery such as fault detection and estimation have been shown for more than a decade since a battery has became one of the most important components of electrical vehicles (EVs). In this paper, estimation of open circuit voltage and electrical parameters of a battery was investigated. Two separate forgetting factors of Recursive Least Square (RLS) were used to process...
The Simultaneous Localization And Mapping (SLAM) estimation problem using range or bearing angle sensors is an inherently nonlinear problem due to the nonlinear relationship between the measurements and the positions of the landmarks and the pose of the vehicle. Assuming an Attitude and Heading Reference System (AHRS) and that velocity is measured, it is shown that the nonlinear kinematic models in...
In this paper the concept of Bayesian Networks (BN) is applied to the problem of traffic data acquisition by data fusion. Two wireless communication based sensors are used as data sources: IEEE 802.15.1 Bluetooth and IEEE 802.11p V2X (vehicle to vehicle and vehicle to infrastructure). Via V2X so called cooperative awareness messages (CAM) are received, which provide information on vehicle location...
This paper proposes a novel object segmentation method for 3D Light Detection and Ranging (LIDAR) data that is particularly useful for the traffic scene analysis of self-driving vehicles. The novel method gains robustness against under-segmentation, i.e. the problem of assigning several objects to one segment, by jointly using geometrical features and motion field information to discriminate even...
The evolution of health systems derives in the implementation of Smart Health, integrated within the framework of Smart Cities and Smart Regions. In this context, vehicular communications provide additional means of interaction among users, administration and health professionals. In this work, characterization of wireless communication between ambulance and urban deployed access points will be analyzed,...
Based on existing studies to estimate Batteries State of Charge (SOC), many published papers have suggested numeric models to express the relationship between the SOC of a battery in Plug-in Electric Vehicle (PEV) and the vehicle travelled distance. Knowing the battery SOC and based on these relations, other studies concentrated on the prediction of the distance range travelled by a PEV. Reversible...
Advanced Driver Assistance systems (ADAS) are systems that assist the driver during the driving task. This technology has great potentials in improving driver and traffic safety. It is very important for an ADAS to predict human drivers' behaviors at urban environment to avoid crashes. Because of the complexity of human-vehicle interaction, it is difficult to obtain an explicit model for analyzing...
The maneuver control of hypersonic vehicles (HSVs) during re-entry is a challenging work due to the object features of serious nonlinearity, strong uncertainty and fast time variation. In this paper, we design the maneuver control architecture of lateral turning for the HSV first, and then a new self-organizing recurrent functional link network (SORFLN) is proposed to estimate the dynamical uncertainties/disturbances...
× Nowadays, the dual clutch transmission is tending to be generalized because of the high yield of this kind of gearbox with sprockets. The dual clutch transmission also allows gear shifting without torque breaking. These kinds of transmissions are usually controlled in torque. To exploit all of the capacities of this technology in term of comfort and driving pleasure, accurate information of both...
This paper considers the closed-loop navigation of a hypothetical ocean-sampling vehicle in the presence of an idealized ocean-eddy pair. This problem embodies many of the challenges of spatiotemporal ocean sampling using minimally actuated Lagrangian sensors. We extend our existing guidance strategy known as the Boundary-Touring Algorithm (BTA) to steer a self-propelled vehicle to a unique streamline...
A probabilistic framework for online motion planning of vehicles in dynamic environments is proposed. We develop a sampling-based motion planner that incorporates prediction of obstacle motion. A key feature is the introduction of task specifications as artificial measurements. This allows us to cast the exploration phase in the planner as a nonlinear, possibly multimodal, estimation problem, which...
In this paper, a novel approach to estimate a vehicle attitude using gyroscopes and an array of linear tri-axial accelerometers arranged in a certain configuration is presented. This configuration provides direct angular acceleration measurements that will be of great value once the quaternion dynamical equation is solved using Unscented Kalman filter. Various new states and measurements models based...
With the rapid development and reduced cost of digital video capturing devices, driving video recorders (DVRs) begin to gain widespread popularity. What is seen and what happens along the way can thus be recorded in videos. However, searching for a specific scene or event among such massive video collections is laborious and tedious. In this paper, we develop a speed-adaptive street view image generation...
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.