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This paper focuses on the problem of detecting driver's changing lane, and gives a state machine model to analyze driving behavior. Firstly, three-axis accelerated velocity sensor is used to gather data, and then smoothing filtering method is made to process data. Secondly, a change rate of accelerated velocity is computed by using linear regression method, and vehicle's turning range and acceleration\deceleration...
Nowadays Beidou satellite has fully realized real-time positioning of vehicles. However, we found that when BDS was used alone, the unsteadiness in the satellite signal transmission process may cause the problem of error positioning. In order to solve the problem, we propose to use the BDS/DR vehicle integrated navigation system. Then we choose the Extended Kalman algorithm to filter the data which...
This paper aims to study how to choose an effective storage format to accelerate sparse matrix vector product (SMVP) occurring in different numerical methods. We discuss and analyze the storage formats of SMVP which implemented on a GPU. The formats are used for hastening the solution of equations arising from numerical methods. The research in this paper can provide fast selects, which allow low...
Intelligent transportation systems (ITS) are the mainstream of the development of next-generation technologies. The project of Human-centered technology (HT)-ITS in Taiwan has launched R&D researches in driver assistance and safety warning systems. This paper demonstrates a part result that a multi-sensors integrated system to achieve the purpose of the vehicle navigation and safety warning assistance...
Vehicle automation is an important research topic of advanced vehicle systems (AVS). Taiwan iTS-1 is the first smart car with autonomous driving in Taiwan. In this paper, an embedded driving-assistance system is presented. The definition of hierarchical-control structure is necessary in the system to deal with sensorial inputs and environmental and procedural knowledge to manage vehicle actuators...
Video content summarization provides an effective way to accelerating video browsing and retrieval. In this paper, we propose a novel approach to automatically generate the video summary. Firstly, the video structure is analyzed by spatio-temporal analysis. Then, we detect video non-trivial repeating patterns to remove the visual-content redundancy among video stream. Moreover, an importance evaluation...
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