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A Method for Map Construction in Degraded Environments of Subway Tunnels
Kongzhi Yu Xinxi Jishu, 2023 To meet the demand of high-precision point-cloud map construction under the scenes of degraded long subway tunnels, this paper proposes an offline map construction method based on LiDAR and inertial measurement sensors.
CHEN Zhiwei +5 more
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IEEE Access, 2021 Crowd-sourcing has become a promising way to build a feature-based indoor positioning system that has lower labour and time costs. It can make full use of the widely deployed infrastructure as well as built-in sensors on mobile devices.
Caifa Zhou +3 more
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Preface: optimization in graphs [PDF]
Journal of Combinatorial Optimization, 2013 We are honored to be Guest Editors of this special issue of Journal of Combinatorial Optimization dedicated to our friend Gerard Jennhwa Chang on the occasion of his 60th birthday. Gerard received his B.S. in mathematics from National Central University in Taiwan in 1974, and Ph.D. in operations research from Cornell University in USA in 1982.
D. J. Guan, Ko-Wei Lih, Xuding Zhu
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A LiDAR/Visual SLAM Backend with Loop Closure Detection and Graph Optimization
Remote Sensing, 2021 LiDAR (light detection and ranging), as an active sensor, is investigated in the simultaneous localization and mapping (SLAM) system. Typically, a LiDAR SLAM system consists of front-end odometry and back-end optimization modules.
Shoubin Chen +4 more
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Applied Sciences, 2022 With the change of technology and innovation of the current era, retrieving data and data processing becomes a more challenging task for researchers. In particular, several types of sensors and cameras are used to collect multimedia data from various ...
Yazeed Yasin Ghadi +6 more
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Graph Bisection with Pareto Optimization [PDF]
ACM Journal of Experimental Algorithmics, 2015 We introduce FlowCutter, a novel algorithm to compute a set of edge cuts or node separators that optimize cut size and balance in the Pareto sense. Our core algorithm heuristically solves the balanced connected st -edge-cut problem, where two given nodes s and t must ...
Michael Hamann, Ben Strasser
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MRF optimization by graph approximation [PDF]
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 Graph cuts-based algorithms have achieved great success in energy minimization for many computer vision applications. These algorithms provide approximated solutions for multi-label energy functions via move-making approach. This approach fuses the current solution with a proposal to generate a lower-energy solution.
Wonsik Kim, Kyoung Mu Lee
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Optimal Control for Diffusions on Graphs [PDF]
SIAM Journal on Discrete Mathematics, 2018 32 pages, 2 ...
Laura Florescu +2 more
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Optimization Over Graphs [PDF]
SSRN Electronic Journal, 2019 This paper defines isomorphism for network formation that is not mathematically isomorphic. Once the pattern of network formation is characterized, one can test for (i) location fixed effects, (ii) heterogeneity, (iii) private information allowing for long-term contracts.
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Automatic Extrinsic Calibration of 3D LIDAR and Multi-Cameras Based on Graph Optimization
Sensors, 2022 In recent years, multi-sensor fusion technology has made enormous progress in 3D reconstruction, surveying and mapping, autonomous driving, and other related fields, and extrinsic calibration is a necessary condition for multi-sensor fusion applications.
Jinshun Ou +4 more
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