Bio-Inspired Perception–Memory Coupling for Robust LiDAR–Inertial Odometry in Dynamic Environments [PDF]
BiomimeticsBionic intelligent robots operating in unstructured dynamic environments require perception systems that regulate uncertain observations according to their reliability and avoid converting transient disturbances into persistent spatial references ...
Bojia Hou +4 more
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BDGS-SLAM: A Probabilistic 3D Gaussian Splatting Framework for Robust SLAM in Dynamic Environments [PDF]
SensorsSimultaneous Localization and Mapping (SLAM) utilizes sensor data to concurrently construct environmental maps and estimate its own position, finding wide application in scenarios like robotic navigation and augmented reality.
Tianyu Yang +4 more
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Towards Biologically-Inspired Visual SLAM in Dynamic Environments: IPL-SLAM with Instance Segmentation and Point-Line Feature Fusion [PDF]
BiomimeticsSimultaneous Localization and Mapping (SLAM) is a fundamental technique in mobile robotics, enabling autonomous navigation and environmental reconstruction.
Jian Liu, Donghao Yao, Na Liu, Ye Yuan
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Dual population-based incremental learning for problem optimization in dynamic environments [PDF]
, 2003 Copyright @ 2003 Asia Pacific Symposium on Intelligent and Evolutionary SystemsIn recent years there is a growing interest in the research of evolutionary algorithms for dynamic optimization problems since real world problems are usually dynamic, which ...
Yang, S, Yao, X
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Hyper-selection in dynamic environments [PDF]
, 2008 This article is posted here with permission from IEEE - Copyright @ 2008 IEEEIn recent years, several approaches have been developed for genetic algorithms to enhance their performance in dynamic environments.
Yang, S +5 more
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Explicit memory schemes for evolutionary algorithms in dynamic environments [PDF]
, 2007 Copyright @ 2007 Springer-VerlagProblem optimization in dynamic environments has atrracted a growing interest from the evolutionary computation community in reccent years due to its importance in real world optimization problems.
Yang, S +2 more
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Memory-based immigrants for genetic algorithms in dynamic environments [PDF]
, 2005 Copyright @ 2005 ACMInvestigating and enhancing the performance of genetic algorithms in dynamic environments have attracted a growing interest from the community of genetic algorithms in recent years.
Yang, S +2 more
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Hyper-learning for population-based incremental learning in dynamic environments [PDF]
, 2009 This article is posted here here with permission from IEEE - Copyright @ 2009 IEEEThe population-based incremental learning (PBIL) algorithm is a combination of evolutionary optimization and competitive learning.
Yang, S +5 more
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A comparative study of immune system based genetic algorithms in dynamic environments [PDF]
, 2006 Copyright @ 2006 ACMDiversity and memory are two major mechanisms used in biology to keep the adaptability of organisms in the ever-changing environment in nature.
Yang, S +2 more
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A clustering particle swarm optimizer for locating and tracking multiple optima in dynamic environments [PDF]
, 2010 This article is posted here with permission from the IEEE - Copyright @ 2010 IEEEIn the real world, many optimization problems are dynamic. This requires an optimization algorithm to not only find the global optimal solution under a specific environment ...
Yang, S +5 more
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