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基于传感器融合的车辆全球定位
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作者 胡林 谷正气 +2 位作者 黄晶 黄伟 陈剑利 《汽车工程》 EI CSCD 北大核心 2008年第6期491-495,共5页
采用2个光学编码器作为当地传感器,1个GPS接收器作为全球传感器,GPS接收器和编码器组合成1对互补的传感器对来进行高精度的定位。传感器融合软件由2部分组成:基于车辆运动学的动态模型,用于结合GPS接收器和光学编码器;另一部分是用来整... 采用2个光学编码器作为当地传感器,1个GPS接收器作为全球传感器,GPS接收器和编码器组合成1对互补的传感器对来进行高精度的定位。传感器融合软件由2部分组成:基于车辆运动学的动态模型,用于结合GPS接收器和光学编码器;另一部分是用来整合传感器数据的随时间变化的卡尔曼滤波器。仿真和实验结果表明:提出的定位系统效果很好,可实时精确地预测车辆位置和方位角,GPS信号中混杂的噪声可消除80%。 展开更多
关键词 车辆全球定位 传感器融合 动态模型
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Vehicle Tracking in the Process of Transport of Dangerous Goods GPS/GSM Technology
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作者 Goran Tepic Nenad Simeunovic +1 位作者 Stevan Milisavljevie Nemanja Tasic 《Computer Technology and Application》 2016年第3期123-128,共6页
In the paper it has reviewed the monitoring of vehicles in the transport of hazardous substances based on the using of GPS/GSM technology. The basic principles of the GPS concept and hardware have been exhibited which... In the paper it has reviewed the monitoring of vehicles in the transport of hazardous substances based on the using of GPS/GSM technology. The basic principles of the GPS concept and hardware have been exhibited which are implemented in locating the vehicle. They have also identified the locating techniques underlying the monitoring process. It has presented an active system for monitoring parameters of the means of transport. 展开更多
关键词 GPS/GSM RISK dangerous goods hazardous materials transportation.
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Measurement of Emissions from Passenger-Picking-up Vehicles at Airport Terminals
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作者 Fengxiang Qiao Larry Hill +1 位作者 Xiaobing Wang Lei Yu 《Journal of Environmental Science and Engineering(A)》 2016年第2期65-70,共6页
Rather than parking at nearby hourly parking lots, many passenger-picking-up vehicles prefer to idle at terminals and/or drive cycling around terminal facilities. As a result, extra vehicle emissions may be produced i... Rather than parking at nearby hourly parking lots, many passenger-picking-up vehicles prefer to idle at terminals and/or drive cycling around terminal facilities. As a result, extra vehicle emissions may be produced in an airport area. Even though there are limited studies on such emissions at airports, these estimations were normally based on the date emission models, which might cause bias in emission estimations. This paper proposes an approach to employ the floating car method and Global Positioning System (GPS) to record speeds and acceleration rates of idling and cycling vehicles at airport terminals. The tests were conducted under different time periods and traffic demands with different waiting time. The speeds and acceleration rates are synthesized to yield Vehicle Specific Power's (VSP) and Operational Mode (OM) distributions. Utilizing the Environmental Protection Agency (EPA) emission estimation model Motor Vehicle Emission Simulator (MOVES), pollutants and green house gas emission indexes (e.g. NOx, CO, CO2 and HC) and fuel consumptions can be easily estimated. As an illustration of the proposed approach, the research team collected GPS data at a terminal in Houston William Hobby Airport (HOU), and calculated the VSP distributions and OM distributions. Emissions of passenger-picking-up vehicles around these congested airport terminals. 展开更多
关键词 Vehicle emissions passenger-picking-up vehicle terminals AIRPORT vehicle specific power operational modedistribution.
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Intelligent GPS-Less Speed Detection and Clustering in VANET
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作者 Tein-Yaw Chung Fong-Ching Yuan Wen-Mei Cheng 《Computer Technology and Application》 2012年第9期601-608,共8页
Vehicular Ad Hoc Network (VANET) has emerged as a new wireless network for vehicular communications. To provide a flexible and high reliable communication service in VANET, vehicles are clustered to construct many s... Vehicular Ad Hoc Network (VANET) has emerged as a new wireless network for vehicular communications. To provide a flexible and high reliable communication service in VANET, vehicles are clustered to construct many small networks (clusters) so that channel interferences and flooding messages can be limited. This research presents a novel Multi-Resolution Relative Speed Detection (MRSD) model to improve the clustering algorithm in VANET without using Global Positioning System (GPS). MRSD uses the Moving Average Convergence Divergence (MACD), the Momentum of Received Signal Strength (MRSS), and Artificial Neural Networks (ANNs) to estimate the motion state and the relative speed of a vehicle based purely on Received Signal Strength. The proposed MRSD model is accurate with the assistance of the intelligent classification, and incurs less overhead in the cluster head election than that of other algorithms. 展开更多
关键词 Vehicular ad hoc network (VANET) multi-resolution relative speed detection (MRSD) moving average convergencedivergence (MACD) momentum of received signal strength (MRSS) artificial neural networks (ANNs).
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Vehicle Speed Observation Models Based on the Data on the Smartphone GPS
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作者 Gede Herdian Setiawan I Made Oka Widyantara Made Sudarma 《Computer Technology and Application》 2016年第6期300-307,共8页
The development of GPS (global positioning system) receiver now can be integrated on a smartphone. GPS receiver on smartphones has been developed for location-based applications. Smartphones are very suitable to be ... The development of GPS (global positioning system) receiver now can be integrated on a smartphone. GPS receiver on smartphones has been developed for location-based applications. Smartphones are very suitable to be used as an experimental tool, because smartphones are usually equipped with various types of sensors. This paper proposes a model observation vehicle speed on a road section based on the GPS data on the smartphone. Observations made by calculating the speed of the speed of vehicles moving through the data transfer at the GPS location of the smartphone, the data are then sent periodically to the server and server processing and storage of vehicle speed data. After tested with test reliability indicators use RMSE, observations with model observations speed, speed based on GPS data on a smartphone are relevant when compared with the speed directly from the vehicle's speedometer with the difference between the value of the difference of speed that is 3.1785 km/h. 展开更多
关键词 GPS SMARTPHONE vehicle speed observations.
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The Application and Research on μC/OS operating system in GPS
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作者 Shubin Jiang Jieru Su 《International Journal of Technology Management》 2013年第2期41-43,共3页
The article design a vehicle monitoring terminal system based on μ C/OS and introduces the hardware system design of STM32F407 as the control core. On the basis of transplant μ C/OS operating system, the system soft... The article design a vehicle monitoring terminal system based on μ C/OS and introduces the hardware system design of STM32F407 as the control core. On the basis of transplant μ C/OS operating system, the system software architecture, application-layer multi- task and the priority has been designed, focuses on the use GPRS tasks, preparation methods GPS tasks. After experimental tests, the system is stable and reliable, the realization of real-time vehicle monitoring. System design methodology for embedded system application development has a certain rcfcrence value. 展开更多
关键词 GPS vehicle terminal μ C/OS multi task STM32F407
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