For the concurrent filtering and smoothing example, the filter has been designed to send the summarized states associated with the visual odometry frames to the smoother. When a loop closure constraint is identified, it is sent to the smoother.
This paper presents a novel algorithm for integrating real-time filtering of navigation data with full map/trajectory smoothing.
Our novel solution combines filtering and smoothing within a single estima- tion framework, while formulating it in such a way that both are performed.
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A novel algorithm for integrating real-time filtering of navigation data with full map/trajectory smoothing using loop closures extracted from the vision ...
We present a parallelized navigation architecture that is capable of running in real-time and incorporating long-term loop closure constraints.
We present a parallelized navigation architecture that is capable of running in real-time and incorporating long-term loop closure constraints while ...
Oct 22, 2024 · We present a parallelized navigation architecture that is capable of running in real-time and incorporating long-term loop closure ...
Abstract This paper presents a novel algorithm for integrating real-time filtering of navigation data with full map/trajectory smoothing.
Can we combine the advantages of both methods? • Goals: – Perform smoothing in a separate, asynchronous process. – Maintain real-‐Dme performance of the ...
Concurrent Filtering and Smoothing: A Parallel Architecture for Real-Time Navigation and Full Smoothing. January 2014. Conference: International Journal of ...