合肥工业大学学报(自然科学版)
閤肥工業大學學報(自然科學版)
합비공업대학학보(자연과학판)
JOURNAL OF HEFEI UNIVERSITY OF TECHNOLOGY(NATURAL SCIENCE)
2009年
11期
1645-1647
,共3页
刘征宇%魏昕%齐琴%张利%芦东昕
劉徵宇%魏昕%齊琴%張利%蘆東昕
류정우%위흔%제금%장리%호동흔
车辆定位%动态滤波%卡尔曼滤波%"当前"统计模型
車輛定位%動態濾波%卡爾曼濾波%"噹前"統計模型
차량정위%동태려파%잡이만려파%"당전"통계모형
vehicle positioning%dynamic filtering! Kalman filtering%current statistical model(CSM)
车辆定位精度与采用的动力学模型直接相关.文章针对单一的动力学模型难以精确描述车辆行驶过程中的运动状态变化,提出复合CV模型和CSM模型,引入自适应切换机制,设计一种车辆定位跟踪算法.通过与CSM模型实验结果进行比较,验证了该算法的优越性.
車輛定位精度與採用的動力學模型直接相關.文章針對單一的動力學模型難以精確描述車輛行駛過程中的運動狀態變化,提齣複閤CV模型和CSM模型,引入自適應切換機製,設計一種車輛定位跟蹤算法.通過與CSM模型實驗結果進行比較,驗證瞭該算法的優越性.
차량정위정도여채용적동역학모형직접상관.문장침대단일적동역학모형난이정학묘술차량행사과정중적운동상태변화,제출복합CV모형화CSM모형,인입자괄응절환궤제,설계일충차량정위근종산법.통과여CSM모형실험결과진행비교,험증료해산법적우월성.
The accuracy of vehicle positioning is directly affected by the dynamic models. It is difficult to use a single model to describe vehicle movement precisely because of the variable motion in the running process of vehicles. By integrating the constant velocity (CV) model and the current statistical model(CSM) and introducing the adaptive switching mechanism,an algorithm for vehicle positioning and tracking is designed. The computation results are compared with those by the CSM, which verifies the effectiveness of the algorithm.