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Electromagnetic Simulation of Robotic Dynamic Scenes for Novel Sensor Developments
To ensure the safety and efficiency of human-robot collaboration, new sensor modalities are required that capture a robot’s entire environment and...
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Visual Slam in Dynamic Scenes Based on Object Tracking and Static Points Detection
Simultaneously Localization and Map** (SLAM) plays a key role in tasks such as mobile robots navigation and path planning. How to achieve high...
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Background subtraction via regional multi-feature-frequency model in complex scenes
Although a wide variety of background subtraction methods has been proposed in recent years, none has been able to fully address multi-scale moving...
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A novel multiple targets detection method for service robots in the indoor complex scenes
With the expansive aging of global population, service robot with living assistance applied in indoor scenes will serve as a crucial role in the...
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A real-time semantic visual SLAM for dynamic environment based on deep learning and dynamic probabilistic propagation
Most existing visual simultaneous localization and map** (SLAM) algorithms rely heavily on the static world assumption. Combined with deep...
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Unsupervised learning of optical flow in a multi-frame dynamic environment using temporal dynamic modeling
For visual estimation of optical flow, which is crucial for various vision analyses, unsupervised learning by view synthesis has emerged as a...
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Lightweight fungal spore detection based on improved YOLOv5 in natural scenes
Plant disease diagnosis plays a crucial role in precision agriculture, and detecting fungal spores in complex scenes is essential for disease...
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IQ-VIO: adaptive visual inertial odometry via interference quantization under dynamic environments
Vision-based localization is susceptible to interference from dynamic objects in the environment, resulting in decreased localization accuracy and...
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An improved DBSCAN Algorithm for hazard recognition of obstacles in unmanned scenes
The environmental perception system is the foundation of unmanned driving systems and also the fundamental guarantee of the safety and intelligence...
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An optical remote sensing image encryption algorithm for sensitive targets in sea-related scenes
Satellite remote sensing images, obtained through imaging earth from space, are widely used in military and national economic construction. Remote...
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Points2Sound: from mono to binaural audio using 3D point cloud scenes
For immersive applications, the generation of binaural sound that matches its visual counterpart is crucial to bring meaningful experiences to people...
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Skip-YOLO: Domestic Garbage Detection Using Deep Learning Method in Complex Multi-scenes
It is of great significance to identify all types of domestic garbage quickly and intelligently to improve people's quality of life. Based on the...
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Representing Scenes as Compositional Generative Neural Feature Fields Based on GIRAFFE for 3D Reconstruction of Classroom Scenes
Traditional online classroom learning through two-dimensional video cannot meet the interactivity and immersive class experience. Providing immersive...
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Accurate data-driven sliding mode parking control for autonomous ground vehicles with efficient trajectory planning in dynamic industrial scenarios
Autonomous Ground Vehicles (AGVs) can transfer or load and unload material in industrial scenarios due to their flexibility and operability, freeing...
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Research on Moving Liquid Level Detection Method of Viscometer in Dynamic Scene
In order to solve the problem of false detection of the moving liquid level caused by the vibration of the constant temperature water bath, this...
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LLTH-YOLOv5: A Real-Time Traffic Sign Detection Algorithm for Low-Light Scenes
Traffic sign detection is a crucial task for autonomous driving systems. However, the performance of deep learning-based algorithms for traffic sign...
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RGB-D SLAM in Dynamic Environments with Multilevel Semantic Map**
Dynamic environments pose a severe challenge to visual SLAM as moving objects invalidate the assumption of a static background. While recent works...
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Application of slam method in big data rural tourism management in dynamic scene
Under the background of the rapid development of science and technology, technologies in many fields are advancing accordingly. The same artificial...
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YS-SLAM: YOLACT++ based semantic visual SLAM for autonomous adaptation to dynamic environments of mobile robots
Aiming at the problem of poor autonomous adaptability of mobile robots to dynamic environments, this paper propose a YOLACT++ based semantic visual...
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In-sensor dynamic computing for intelligent machine vision
Accurate detection and tracking of targets in low-light and complex scenarios is essential for the development of intelligent machine vision....
