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Route planning system of smart vehicles based on monocular vision could be applied to monitor the production line in industrial field. This system has achieved much functionality including image processing, monocular vision range finding, virtual map generating, global route planning and obstacle avoiding, etc. In this paper, we present an optimized ant colony algorithm based on ground colors and...
Underwater vehicles have been developed over the last six decades for potential uses in scientific, commercial, environmental, and military purposes, and always utilized to perform difficult tasks in cluttered environments such as deep-sea mining, underwater sampling and oceanic investigations. Since underwater vehicles have nonlinear and highly coupled dynamics, motion control can be difficult when...
Underwater vehicle is an important tool in the exploration, survey and investigation of the ocean and have many scientific, military, and commercial applications. To develop an underwater vehicle is not an easy task; a reliable underwater vehicle requires a thorough system design and many costly field tests during which system specifications can be validated, and these field tests can be hard and...
Environment recognition is a necessary prerequisite for behavioral decision and intelligent control of intelligent vehicle. In order to improve the surrounding environment recognition ability of intelligent vehicles, a weighted cloud classifier is constructed to recognize the content of image captured by vehicle camera. By researching the image texture characters, several cloud classifiers are trained...
Aiming at the deficiencies of the traffic signal cycle optimization in the regional traffic signal control system and considering vehicle emission pollution, this paper proposed a traffic signal cycle optimization method based on bi-level programming model, and attempted to take reducing vehicle emission as one of the signal control objective parameters. Then the improved PSO algorithm was proposed...
The paper studies two moving vehicles exchanging messages assisted by another vehicle which is used as a relay. All the vehicle-to-vehicle (V2V) links are modeled as flat double-Rayleigh fading. Based on this particular channel model, the OPA (optimal power allocation) solutions are derived through maximizing source-to-destination channel capacity on the assumptions of amplify-and-forward relaying...
This paper studies the relay-assisted inter-vehicular communications (IVCs) with double Rayleigh fading vehicle-to-vehicle links. The OPA (optimal power allocation) solution is derived through maximizing source-to-destination channel capacity assuming amplify-and-forward relaying. The outage performance is discussed and the lower bound on outage probability at medium to high SNR (signal-to-noise ratio)...
Mass property of space vehicle changes apparently during and after mating and cannot be predicted or measured at times, yet it needs to be accurately known for mated flight control or attitude control and momentum management. A discrete Kalman Filter (KF) based estimation method is developed, measurements of single point acceleration, angular velocity and angular acceleration are employed to extract...
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