Results 271 to 280 of about 5,808,675 (298)
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IEEE Transactions on Instrumentation and Measurement
Factor graph optimization (FGO) provides a new means for asynchronous data fusion of integrated underwater vehicle navigation in a plug-and-play unified framework.
Xun Dong +4 more
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Factor graph optimization (FGO) provides a new means for asynchronous data fusion of integrated underwater vehicle navigation in a plug-and-play unified framework.
Xun Dong +4 more
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Improved Preintegration Method for GNSS/IMU/In-Vehicle Sensors Navigation Using Graph Optimization
IEEE Transactions on Vehicular Technology, 2021GNSS/IMU/in-vehicle sensors navigation can provide accurate localization for land vehicles. Although the sensor fusion is often carried out by Kalman filter, graph optimization can obtain better state estimation.
Shiyu Bai +4 more
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Random Graphs and Graph Optimization Problems
SIAM Journal on Computing, 1980One major difficulty in analyzing algorithms for graph optimization problems is that the probabilistic behavior of the optimum solutions to most of the important problems is generally unknown. We present a general method for relating some well-known results regarding the probability of existence of certain subgraphs in random graphs to the ...
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IEEE Transactions on Intelligent Vehicles
Ego-pose estimation and 3D object tracking are two critical problems that autonomous driving systems must solve. The solutions to these problems are usually based on their respective assumptions, i.e., the static world assumption for simultaneous ...
Xuebo Tian +4 more
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Ego-pose estimation and 3D object tracking are two critical problems that autonomous driving systems must solve. The solutions to these problems are usually based on their respective assumptions, i.e., the static world assumption for simultaneous ...
Xuebo Tian +4 more
semanticscholar +1 more source
A Comparison of Graph Optimization Approaches for Pose Estimation in SLAM
International Convention on Information and Communication Technology, Electronics and Microelectronics, 2021Simultaneous localization and mapping (SLAM) is an important tool that enables autonomous navigation of mobile robots through unknown environments. As the name SLAM suggests, it is important to obtain a correct representation of the environment and ...
Andela Juric +3 more
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Guidance Graph Optimization for Lifelong Multi-Agent Path Finding
International Joint Conference on Artificial IntelligenceWe study how to use guidance to improve the throughput of lifelong Multi-Agent Path Finding (MAPF). Previous studies have demonstrated that, while incorporating guidance, such as highways, can accelerate MAPF algorithms, this often results in a trade-off
Yulun Zhang +4 more
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Optimal Mixed Graph Augmentation
SIAM Journal on Computing, 1987We consider an augmentation problem on mixed graphs that generalizes and unifies two augmentation problems considered by \textit{K. P. Eswaran} and \textit{R. E. Tarjan} [ibid. 5, 653-665 (1976; Zbl 0346.05112)]. The mixed augmentation problem has applications in the design of communication networks, and forms of mixed augmentation problem are central ...
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Distributed Pose-Graph Optimization With Multi-Level Partitioning for Multi-Robot SLAM
IEEE Robotics and Automation LettersThe back-end module of Distributed Collaborative Simultaneous Localization and Mapping (DCSLAM) requires solving a nonlinear Pose Graph Optimization (PGO) under a distributed setting, also known as $SE(d)$-synchronization. Most existing distributed graph
Cunhao Li +3 more
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LiDAR-based SLAM pose estimation via GNSS graph optimization algorithm
Measurement science and technologyLiDAR simultaneous localization and mapping (SLAM) is widely used in positioning and navigation. By illuminating a series of light spots on the surface of an object, orientation and pose information is obtained.
Wei He, Rui Li, Tianyue Liu, Yaoyao Yu
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GNSS Vector Tracking Method Using Graph Optimization
IEEE Transactions on Circuits and Systems - II - Express Briefs, 2021Commonly, there are two different types of signal tracking methods in Global Navigation Satellite System (GNSS) receivers: Scalar Tracking (ST) and Vector Tracking (VT).
Changhui Jiang +4 more
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