Simultaneous spatiotemporal bias and state estimation for asynchronous multi‐sensor system
نویسندگان
چکیده
منابع مشابه
State Fusion Estimation Based on Asynchronous Multirate Multisensor
On theory of multisensor state fusion estimation, more research is a single rate synchronization problem, however, it is the multirate asynchronous problem often encountered in practice. Therefore, research on the state fusion estimation of asynchronous multirate multisensor have more practice application value. In this paple, by expand the dimension of the system state and measurements and by ...
متن کاملGeneric multisensor multitarget bias estimation architecture
Current bias estimation algorithms for air traffic control (ATC) surveillance are focused on radar sensors, but the integration of new sensors (especially automatic dependent surveillance-broadcast and wide area multilateration) demands the extension of traditional procedures. This study describes a generic architecture for bias estimation applicable to multisensor multitarget surveillance syst...
متن کاملFused State Estimation of Linear Continuous-time Systems with Multisensor Asynchronous Measurements
Due to the communication delays and the time differences in the fusion systems, there exists the asynchronous multisensor information fusion problem instead of the synchronous one. Firstly the continuous-time system is discretized in the fusion center and all the sensor nodes with different sample intervals, then it is found that the measurement noises are correlated with each other and also co...
متن کاملSimultaneous tracking and registration in a multisensor surveillance system
In this paper, we present a multisensor surveillance system that consists of an optical sensor and an infrared sensor. In this system, a background subtraction method based on zero-order statistics is utilized for the moving object segmentation. Additionally, we propose a generic approach to simultaneous object tracking and multisensor image registration. An efficient face detection system is s...
متن کاملMotion State Estimation for an Autonomous Vehicle- Trailer System Using Kalman Filtering-based Multisensor Data Fusion
In this research we present a Kalman filtering-based motion state estimation method for an autonomous vehicle-trailer system by fusing multiple sensor data, which can be applied directly to autonomous navigation and motion control. The autonomous vehicle-trailer system consists of an autonomous vehicle and a passive trailer which are coupled by a trailer hitch. Our vehicle-trailer system is equ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Journal of Engineering
سال: 2019
ISSN: 2051-3305,2051-3305
DOI: 10.1049/joe.2019.0461