Results 21 to 30 of about 5,808,675 (298)
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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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, 2023 With the development of autonomous driving, precise positioning capabilities are becoming increasingly important. GNSS (Global Navigation Satellite System) is normally utilized for vehicle positioning, but is susceptible to factors such as urban canyons,
Jiaming Zhu +3 more
semanticscholar +1 more source
Node Graph Optimization Using Differentiable Proxies [PDF]
International Conference on Computer Graphics and Interactive Techniques, 2022 Graph-based procedural materials are ubiquitous in content production industries. Procedural models allow the creation of photo-realistic materials with parametric control for flexible editing of appearance.
Yiwei Hu +4 more
semanticscholar +1 more source
Graph-Optimizer: Towards Predictable Large-Scale Graph Processing Workloads
Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023 Graph and hardware-specific optimisations lead to orders of magnitude improvements in performance, energy, and cost over conventional graph processing methods. Typical big data platforms, such as Apache MapReduce and Apache Spark, rely on generic primitives, exhibiting poor performance and high financial and environmental costs.
Ana Lucia Varbanescu, Andrea Bartolini
openaire +3 more sources
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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Factor graph optimization for GNSS/INS integration: A comparison with the extended Kalman filter
Navigation, 2021 Factor graph optimization (FGO) recently has attracted attention as an alternative to the extended Kalman filter (EKF) for GNSS-INS integration.
W. Wen, T. Pfeifer, Xiwei Bai, L. Hsu
semanticscholar +1 more source
GNSS Outlier Mitigation via Graduated Non-Convexity Factor Graph Optimization [PDF]
IEEE Transactions on Vehicular Technology, 2021 Accurate and globally referenced global navigation satellite system (GNSS) based vehicular positioning can be achieved in outlier-free open areas. However, the performance of GNSS can be significantly degraded by outlier measurements, such as multipath ...
W. Wen, Guohao Zhang, L. Hsu
semanticscholar +1 more source
Transactions on Combinatorics, 2022 Summary: An optimal labeling of a graph with \(n\) vertices and \(m\) edges is an injective assignment of the first \(n\) nonnegative integers to the vertices, that induces, for each edge, a weight given by the sum of the labels of its end-vertices with the property that the set of all induced weights consists of the first \(m\) positive integers.
Barrientos, Christian, Youssef, Maged
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DGORL: Distributed Graph Optimization based Relative Localization of Multi-Robot Systems [PDF]
International Symposium on Distributed Autonomous Robotic Systems, 2022 An optimization problem is at the heart of many robotics estimating, planning, and optimum control problems. Several attempts have been made at model-based multi-robot localization, and few have formulated the multi-robot collaborative localization ...
Ehsan Latif, Ramviyas Parasuraman
semanticscholar +1 more source