Results 1 to 10 of about 9,148,687 (226)
Dynamic Multi-LiDAR Based Multiple Object Detection and Tracking [PDF]
Sensors, 2019 Environmental perception plays an essential role in autonomous driving tasks and demands robustness in cluttered dynamic environments such as complex urban scenarios.
Muhammad Sualeh, Gon-Woo Kim
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EMDS-7: Environmental microorganism image dataset seventh version for multiple object detection evaluation [PDF]
Frontiers in Microbiology, 2023 Nowadays, the detection of environmental microorganism indicators is essential for us to assess the degree of pollution, but the traditional detection methods consume a lot of manpower and material resources.
Hechen Yang +15 more
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Multiple Object Detection Based on Clustering and Deep Learning Methods [PDF]
Sensors, 2020 Multiple object detection is challenging yet crucial in computer vision. In This study, owing to the negative effect of noise on multiple object detection, two clustering algorithms are used on both underwater sonar images and three-dimensional point ...
Huu Thu Nguyen +3 more
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Object Detection Based on Multiple Information Fusion Net
Applied Sciences, 2020 Object detection has been playing a significant role in computer vision for a long time, but it is still full of challenges. In this paper, we propose a novel object detection framework based on relationship among different objects and the scene-level ...
Yanni Zhang +5 more
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3D Object Detection Using Multiple-Frame Proposal Features Fusion
Sensors, 2023 Object detection is important in many applications, such as autonomous driving. While 2D images lack depth information and are sensitive to environmental conditions, 3D point clouds can provide accurate depth information and a more descriptive ...
Minyuan Huang, Henry Leung, Ming Hou
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Multiple Attention Mechanism Enhanced YOLOX for Remote Sensing Object Detection
Sensors, 2023 The object detection technologies of remote sensing are widely used in various fields, such as environmental monitoring, geological disaster investigation, urban planning, and military defense.
Chao Shen, Caiwen Ma, Wei Gao
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Multiple Object Tracking Using Edge Multi-Channel Gradient Model With ORB Feature
IEEE Access, 2021 Multiple object tracking based on tracking-by-detection is the most common method used in addressing illumination change and occlusion problems. In this paper, we present a tracking algorithm based on Edge Multi-channel Gradient Model.
Jieyu Chen +5 more
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Sensors, 2022 One of the primary tasks undertaken by autonomous vehicles (AVs) is object detection, which comes ahead of object tracking, trajectory estimation, and collision avoidance.
Esraa Khatab +2 more
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A novel real-time multiple objects detection and tracking framework for different challenges
Alexandria Engineering Journal, 2022 Recently, there was a lot of researches on real-time detection and tracking algorithms, as the frequent use of surveillance cameras and the expansion of its applications, especially in security and surveillance. However, many challenges have emerged that
Nuha H. Abdulghafoor, Hadeel N. Abdullah
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Semantics Aware Dynamic SLAM Based on 3D MODT
Sensors, 2021 The idea of SLAM (Simultaneous Localization and Mapping) being a solved problem revolves around the static world assumption, even though autonomous systems are gaining environmental perception capabilities by exploiting the advances in computer vision ...
Muhammad Sualeh, Gon-Woo Kim
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