Tree traversal is a technique which involves visiting, verifying, and updating each node in a tree just once. This paper gives insight on the various approaches for the same. The tree can be visited in two ways recurs...
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The construction industry has been faced with the problems of low labor productivity, labor shortage and high worker safety risk for a long time. However, building automation and robot technology bring new opportuniti...
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In comparison to other robot types, quadruped robots have greater flexibility and terrain adaptability for the special leg structure. To enhance their autonomy and intelligence in complex environments, a terrain perce...
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The precision comparison between the proposed method and traditional methods is a crucial evaluation of their performance in machine learning and information retrieval tasks. Precision, a fundamental metric, measures ...
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The Perspective-n-Point (PnP) problem has been widely studied in both computer vision and photogrammetry societies. With the development of feature extraction techniques, a large number of feature points might be avai...
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ISBN:
(纸本)9798350323658
The Perspective-n-Point (PnP) problem has been widely studied in both computer vision and photogrammetry societies. With the development of feature extraction techniques, a large number of feature points might be available in a single shot. It is promising to devise a consistent estimator, i.e., the estimate can converge to the true camera pose as the number of points increases. To this end, we propose a consistent PnP solver, named CPnP, with bias elimination. Specifically, linear equations are constructed from the original projection model via measurement model modification and variable elimination, based on which a closed-form least-squares solution is obtained. We then analyze and subtract the asymptotic bias of this solution, resulting in a consistent estimate. Additionally, Gauss-Newton (GN) iterations are executed to refine the consistent solution. Our proposed estimator is efficient in terms of computations-it has O(n) time complexity. Simulations and real dataset tests show that our proposed estimator is superior to some well-known ones for images with dense visual features, in terms of estimation precision and computing time.
Considering the research of driving state monitoring and trajectory tracking technology of autonomous vehicles in roads under low permeability conditions is an important technical means to alleviate traffic problems a...
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The BlazePose, which models human body skeletons as spatiotemporal graphs, has achieved fantastic performance in skeleton-based action identification. A Spatial-Temporal Graph Convolutional Network can then be used to...
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When drones are flying in formation, in order to minimize external interference, the bearings-only passive positioning method is generally used to adjust the position of the drones. This paper studies various situatio...
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When snake robots perform tasks, their ability of sensing the environment is very important. This paper proposes an algorithm for estimating the slope angle based on the cooperation of two snake robots by using the vi...
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This paper presents a network-wide latency monitoring method, called C-LLDP-monitoring, for large-scale Software Defined Networks (SDNs) with multiple controllers constructing a hierarchical control plane. C-LLDP-moni...
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