Titlebook: Advances in Swarm Intelligence; 12th International C Ying Tan,Yuhui Shi Conference proceedings 2021 Springer Nature Switzerland AG 2021 swa

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Real-Time Sea Cucumber Detection Based on YOLOv4-Tiny and Transfer Learning Using Data Augmentationquiring high computing resources with a lot of training data, which is difficult in the underwater environment. YOLOv4-tiny is proposed based on YOLOv4 to simplify the network structure and reduce parameters, which makes it be suitable for developing on mobile and embedded devices. In this paper, in

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Toward Swarm Robots Tracking: A Constrained Gaussian Condensation Filter Methodntial Bayesian filters, such as Kalman and particle filter, suffer from the problem of accumulative errors, which cannot provide long-time high-precision services for localization. To solve the problem of arbitrary noise distribution, this paper proposes a Gaussian condensation filter to achieve hig

證實(shí)

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Map Fusion Method Based on Image Stitching for Multi-robot SLAMcy and more robustness. This study focuses on the map fusion problem in the multi-robot SLAM task, which is to fuse the local maps created by multiple independent robots into an integrated map. A multi-robot SLAM map fusion method based on image stitching is therefore proposed. A single robot uses l

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Robotic Brain Storm Optimization: A Multi-target Collaborative Searching Paradigm for Swarm Roboticsgnal strength as fitness values. Many current works in the literature have achieved good performance in single-target search problems. However, when there are multiple targets in an environment to be searched, many swarm intelligence-based methods may converge to specific locations prematurely, maki

妨礙

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Intuitive