Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
The acoustic docking control problem is investigated for the fully-actuated autonomous underwater vehicle (AUV) equipped with the USBL transceiver, which provides the positions of the two transponders on the dock station. Similar to the image-based visual servo control technology, the dynamics of the transponders' positions is modeled with the AUV's linear and angular velocities as the control inputs...
Vehicle Routing Problem (VRP) is a famous combinatorial optimization problem and it has been extended to a multi-objective optimization perspective. This paper targets solving VRP with stochastic demand (VRPSD) under the constraints of available time window and vehicle capacity. The objective of the problem is to simultaneously minimize total travelling distance and total drivers' remuneration. This...
Energy management of electric vehicles has been the focus of recent research to allow optimal engine and battery usage. Many efforts have been realised to use the trip knowledge - or a prediction of it - to provide the best vehicle efficiency. Yet few works take into account the embedded devices and the vehicle global Quality of Service. The ORQA framework has a vehicle systemic approach, its purpose...
In autonomous quadrocopter navigation, wind disturbances commonly pose a problem for the vehicle to navigate precisely on the planned path. The vehicle easily deviates off from the path and obviously affects the navigation accuracy. Trajectory correction is one possible solution proposed by few researchers to avert the problem. The approaches are proven to increase the efficiency for the vehicle to...
Since Underwater Vehicle-Manipulator Systems (UVMS) are expected to make important roles in ocean exploration, many studies about control of single arm UVMSs have been reported. We have also been proposed digital Resolved Acceleration Control (RAC) methods for a single arm UVMS. In this paper, we propose a discrete time RAC method for multiple arms UVMS. Simulation results show the effectiveness of...
In this paper, we propose a novel dynamic ensemble selection framework using meta-learning. The framework is divided into three steps. In the first step, the pool of classifiers is generated from the training data. The second phase is responsible to extract the meta-features and train the meta-classifier. Five distinct sets of meta-features are proposed, each one corresponding to a different criterion...
Traffic congestion judgement is a frequently addressed problem in intelligent transportation system. In this paper, a judgement algorithm for identifying the occurring traffic congestion of vehicles is experimentally designed. This algorithm extracts the SIFT features from an image containing vehicles using the linear spatial pyramid matching using sparse coding (ScSPM), then judges wether the congestion...
This paper introduces the new concept of discriminative auto encoders. In contrast with the standard auto encoders - which are artificial neural networks used to learn compressed representation for a set of data - discriminative auto encoders aim at learning low-dimensional discriminant encodings using two classes of data (denoted such as the positive and the negative classes). More precisely, the...
As vehicles travel through a scene, changes in aspect ratio and appearance as observed from a camera (or an array of cameras) make vehicle detection a difficult computer vision problem. Rather than relying solely on appearance cues, we propose a framework for detecting vehicles and eliminating false positives by utilizing the motion cues in the scene in addition to the appearance cues. As a case study,...
For the entry guidance based on a nominal trajectory, trajectory tracking is an important part, by which the nominal trajectory is followed and several constraints can be observed. In order to reject disturbance and achieve good tracking performance in trajectory tracking, a finite-time trajectory tracking method is presented. Utilizing the differential flatness theory, a linear tracking error system...
An impact angle constrained terminal guidance based on circular trajectory correcting and tracking was proposed. The circular trajectory command was generated by circular geometry relationship and corrected by limiting the angle between the desired velocity vector and line of sight. By doing this, the problems of increased flight distance, decreased terminal velocity and large guidance commands induced...
Vehicular ad hoc networks (VANETs) is an efficient enabler for safe and efficient Intelligent Transport Systems. The introduction of intermediate vehicles improves the performance of VANETs prominently. In this paper, we introduce buses as intermediate vehicles to improve the system efficiency. We also introduce the coalition game model to study the relationships between buses and add incentives for...
The integrated system composed of inertial navigation system (INS) and speedometer is an independent positioning system commonly used on military vehicles. The INS attitude accuracy will affect the integrated location accuracy directly. This paper studied the INS error estimation and correction technique based on reference object with laser ranging information. Simulation results show that the method...
This paper describes the design of parameter dependent robust model predictive controller (PD-RMPC) for a class of flexible air-breathing hypersonic vehicles. The strong system uncertainties, high nonlinearity, strong coupling, input saturation and flight state constraints are challenging problems in the design of control system. Therefore, a control method that can handle model uncertainties and...
This paper demonstrates several improvements on implementing a fast monocular visual slam system (MonoSLAM) to navigate indoor aerial vehicle. These improvements include designing for the framework of the navigation system, redesigning of landmark patch matching method and giving new rules updating the image patch to overcome some particularly bad situation when landmarks are insufficient. We demonstrate...
Traditional methods of determining roll rate and roll angle are expensive, and could be justified only for high value vehicles. For cost-effectiveness, GPS-based measurements are preferred for determining roll angle of spinning vehicles. GPS carrier amplitude measurements are the two main techniques used for attitude determination. In this paper, for determining roll angle of a spinning vehicle, the...
Single-antenna BeiDou Navigation Satellite System (BDS) receivers could not measure the trajectory of space spinning vehicles at the present time, Multi-antenna installed around of spinning vehicles were applied to gaining the continual signal. Phase centers of antennas are difference because of difference installation position of antennas, which introduce serious systematic errors into the position...
The paper presents a controller-observer architecture with decentralized fault tolerance strategy for a networked team of autonomous robots. In the proposed architecture, each robot runs a decentralized observer to estimate the overall system state and a distributed control law for centroid and formation tracking control. The decentralized observer is used to compute a set of residuals in charge of...
Mining trajectory data has been attracting significant interest in the last years. By analyzing trajectory data, we are able to discover the movement behavior and location-aware knowledge, and then develop many interesting applications such as movement behavior discovery, location prediction, traffic analysis, and so on. However, trajectory data mining is a challenge task because of the trajectory...
Quadrotors low level control has attracted the attention of many research works over the last decade. In most of previous works, position stabilisation was achieved using nonlinear control techniques. In this paper, two full linear techniques based on optimal control theory are presented. The first, based on the L2 norm, is a Linear Quadratique Servo (LQ-Servo) controller. The second one, optimizes...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.