DA-IRRK: DATA-ADAPTIVE ITERATIVELY REWEIGHTED ROBUST KERNEL-BASED APPROACH FOR BACK-END OPTIMIZATION IN VISUAL SLAM

DA-IRRK: Data-Adaptive Iteratively Reweighted Robust Kernel-Based Approach for Back-End Optimization in Visual SLAM

Back-end optimization is a key process to eliminate the cumulative error in Visual Simultaneous Localization and Mapping (VSLAM).Existing VSLAM frameworks often use kernel function-based back-end optimization methods.However, these methods typically rely on fixed kernel parameters based on the chi-square test, assuming Gaussian-distributed reprojec

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Drivers and moderators of business decline

Purpose: Reports of business failure elicit various reactions, while research in this domain often appears to be limited by a lack of access to information about failure and by the negativity that surrounds it.Those who have experienced failure do not readily talk about it, or they disappear from the radar screen of researchers.Yet failure is prece

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Examination and optimization of a novel auxiliary trigeneration system for a ship through waste-to-energy from its engine

Considering the thermal processes with the help of smart heat recovery, this study proposes a novel auxiliary trigeneration system for a ship based on the waste heat of its engine to produce electricity, cooling, and freshwater.The system consists of a regenerative organic Rankine cycle (RORC) with R600 working fluid, a Dresses lithium-bromide/wate

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