Spatiotemporal Registration for Multi-sensor Fusion Systems
نویسندگان
چکیده
منابع مشابه
Multi-sensor calibration through iterative registration and fusion
Abstract In this paper, a new multi-sensor calibration approach, called iterative registration and fusion (IRF), is presented. The key idea of this approach is to use surfaces reconstructed from multiple point clouds to enhance the registration accuracy and robustness. It calibrates the relative position and orientation of the spatial coordinate systems among multiple sensors by iteratively reg...
متن کاملRobust Registration under Inaccurate Track Association in Multi-sensor Fusion
Sensor registration, which requires correctly associated data, is a significant problem in multi-sensor fusion. However, the result of track association is inevitably inaccurate in the presence of random errors, sensor biases, track loss and false tracks. In this paper, we address the problem of sensor registration under inaccurate track association. Regarding misassociations as outliers in the...
متن کاملMulti-Sensor Image Registration, Fusion and Dimension Reduction
With the development of future spacecraft formations comes a number of complex challenges such as maintaining precise relative position and specified attitudes, as well as being able to communicate with each other. More generally, with the advent of spacecraft formations, issues related to performing on-board and automatic data computing and analysis as well as decision planning and scheduling ...
متن کاملSpatiotemporal Coverage in Fusion-based Sensor Networks
Wireless sensor networks (WSNs) have been increasingly available for critical applications such as security surveillance and environmental monitoring. As a fundamental performance measure of WSNs, coverage characterizes how well a sensing field is monitored by a network. Two facets of coverage, i.e., spatial coverage and temporal coverage, quantify the percentage of area that is well monitored ...
متن کاملOptimal Estimation of Sensor Biases for Asynchronous Multi-Sensor Registration
An important step in the asynchronous multi-sensor registration problem is to estimate sensor range and azimuth biases from their noisy asynchronous measurements. The estimation problem is generally very challenging due to highly nonlinear transformation between the global and local coordinate systems as well as measurement asynchrony from different sensors. In this paper, we propose a novel no...
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: DEStech Transactions on Computer Science and Engineering
سال: 2017
ISSN: 2475-8841
DOI: 10.12783/dtcse/aics2016/8219