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Advances in video technology have enabled its wide adoption in the auto industry. Today, many vehicles are equipped with backup, front-looking, and side-looking cameras that allow the driver to easily monitor the traffic around the vehicle for enhanced safety. This paper reports our research on evaluating many existing object tracking techniques, and proposes a new tracker design and its application...
The goal of the project is to design intelligent and robust image-processing and augmented-reality algorithms for driver assistance and enhanced vehicular safety. In particular, the focuses were two-fold: (1) realizing the abilities to identify and localize in a vehicle''s on-board video the sweeping windshield wipers during raining days and (2) designing and implementing an in-painting technique...
The characteristic of traction battery is one of the key factors which affect the electric vehicles' performance. This paper took the ternary material lithium-ion battery as example, investigated the dynamic power and internal resistance at different temperature and DODs. We found that the discharge characteristic changed with different depth of discharge(DOD) and temperature, and the pulse duration...
An improved coordinated charging method was proposed to deal with numerous electric vehicles' (EVs') uncertainty charging habits in this work, this method is an optimization model taking EVs' charging start time and charging power as the control variables. In the model users' charging habit was represented by Binomial distribution and the EVs' uncertainty charging demand was imitated by the Mento...
This paper proposes a new algorithm to eliminate the wiper interference in a vehicle's onboard video to improve the detection rate of vision-based Advanced Driver Assistance Systems (ADAS), such as Forward Collision Warning (FCW) Systems. During raining days, the windshield wipers periodically and partially block the appearance of obstacles on the road that are to be detected in these early warning...
This paper first applied integral sliding mode concept to design of nonlinear robust controller for hypersonic vehicle model which is nonlinear, multivariable, and includes uncertain parameters. Firstly, the multi-input and multi-output (MIMO) quasi-continuous integral high-order sliding mode controller is proposed to track the responses of the vehicle to a step change in altitude and velocity. Furthermore,...
With the development of the city and the increasing personal cars, the parking difficulty has been a general problem in the urban traffic. Some Urban Parking Guidance Systems (UPGS) have been established that contain roadside changeable message boards. However, those general UPGS can't provide personalized services, can't combine with the electronic map, can't show enough information. Additionally,...
Project the structure of the low slip test system on vehicle ABS control performance, prove the principle of the test system. Set up the dynamic model of experimental system. Based on the Matlab/Simulink, establish the simulation system of the low slip test system on vehicle ABS control performance for the Chery A3 car. In the basic of this simulation system, this paper simulate and analyses the vehicle...
IE still has a powerful vitality after the financial crises times. The architecture model of IE and economic growth mode transformation is built on the basis of studying the connotation of IE and economic growth mode, and the inner operating mechanism is discussed. Take FAW Car for example, the application and innovation of IE in the economic growth mode transformation of autonomous vehicle enterprises...
A motion control strategy consisting of both position and speed control was designed for different work assignments of Autonomous Underwater Vehicles (AUV). To provide a form that will be suitable for simulation and control purposes, a general mathematical model of underwater vehicles was derived based on the six degrees of freedom nonlinear equations of motion. An improved S-surface controller based...
In this paper, an improved Takagi-Sugeno (T-S) Fuzzy Neural Network (FNN) based on modified learning is proposed for the motion control of Autonomous Underwater Vehicles (AUV). Aiming to improve the control precision and adaptability of T-S fuzzy model, a fuzzy objective is used to update the fuzzy rules and the proportion factor on-line. A modified learning of network is developed by back-propagating...
A real-time control scheme based on fuzzy neural network (FNN) is proposed for the motion control of autonomous underwater vehicles (AUVs) in this paper, for which the dynamics of the controlled system need not be completely known. A real-time desired state planning (DSP) based a sigmoid reference model is introduced to assist the FNN to keep the track error in a low level, and that also can serve...
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