Perception-Aware Planning for Active SLAM in Dynamic Environments
Remote Sensing, 2022 This paper presents a perception-aware path planner for active SLAM in dynamic environments using micro-aerial vehicles (MAV). The “Next-Best-View” planner (NBVP planner) is combined with an active loop closing, which is called the Active Loop Closing ...
Yao Zhao +5 more
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Chaotic Genetic Algorithm based on Explicit Memory with a new Strategy for Updating and Retrieval of Memory in Dynamic Environments [PDF]
Journal of Artificial Intelligence and Data Mining, 2018 Many of the problems considered in optimization and learning assume that solutions exist in a dynamic. Hence, algorithms are required that dynamically adapt with the problem’s conditions and search new conditions.
M. Mohammadpour, H. Parvin, M. Sina
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Applied Sciences, 2022 Many real-life applications of the vehicle routing problem (VRP) occur in scenarios subject to uncertainty or dynamic conditions. Thus, for instance, traveling times or customers’ demands might be better modeled as random variables than as deterministic ...
Majsa Ammouriova +4 more
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Dynamic-DSO: Direct Sparse Odometry Using Objects Semantic Information for Dynamic Environments
Applied Sciences, 2020 Traditional Simultaneous Localization and Mapping (SLAM) (with loop closure detection), or Visual Odometry (VO) (without loop closure detection), are based on the static environment assumption.
Chao Sheng +4 more
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Pixel-Wise Motion Segmentation for SLAM in Dynamic Environments
IEEE Access, 2020 Visual simultaneous localization and mapping (SLAM) is a key prerequisite for many mobile robotic systems. A common assumption for SLAM methods is a static environment.
Thorsten Hempel, Ayoub Al-Hamadi
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Experimental analysis of a statistical multiploid genetic algorithm for dynamic environments
Engineering Science and Technology, an International Journal, 2022 Dynamic environments are still a big challenge for optimization algorithms. In this paper, a Genetic Algorithm using both Multiploid representation and the Bayesian Decision method is proposed.
Emrullah Gazioğlu, A.Sima Etaner-Uyar
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Eye-Tracking in Interactive Virtual Environments: Implementation and Evaluation
Applied Sciences, 2022 Not all eye-tracking methodology and data processing are equal. While the use of eye-tracking is intricate because of its grounding in visual physiology, traditional 2D eye-tracking methods are supported by software, tools, and reference studies. This is
Pavel Ugwitz +4 more
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Sensor Fusion-Based Approach to Eliminating Moving Objects for SLAM in Dynamic Environments
Sensors, 2021 Accurate localization and reliable mapping is essential for autonomous navigation of robots. As one of the core technologies for autonomous navigation, Simultaneous Localization and Mapping (SLAM) has attracted widespread attention in recent decades ...
Xiangwei Dang +2 more
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Developing a Machine Learning Algorithm for Service Robots in Industrial Applications
Machines, 2023 Robots, which have mostly been effective in areas such as industrial, agricultural, and production facilities, have started to take a place in the service sector, as their technologies have become lower in cost and more easily accessible.
Nizamettin Kulaç, Mustafa Engin
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A Random Sampling-Based Method via Gaussian Process for Motion Planning in Dynamic Environments
Applied Sciences, 2022 Motion planning is widely applied to industrial robots, medical robots, bionic robots, and smart vehicles. Most work environments of robots are not static, which leads to difficulties for robot motion planning. We present a dynamic Gaussian local planner
Jing Xu +5 more
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