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Titlebook: Robotics, Computer Vision and Intelligent Systems; 4th International Co Joaquim Filipe,Juha R?ning Conference proceedings 2024 The Editor(s

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51#
發(fā)表于 2025-3-30 10:43:24 | 只看該作者
52#
發(fā)表于 2025-3-30 15:31:00 | 只看該作者
Weapon Detection Using PTZ Cameras,ocess video from surveillance cameras and immediately detect the presence of an armed individual. The research, however, has focused on images taken from cameras that are (as is the typical case) far from the entrance where the individual first appears. However, most modern video surveillance camera
53#
發(fā)表于 2025-3-30 17:07:35 | 只看該作者
54#
發(fā)表于 2025-3-31 00:41:27 | 只看該作者
,Offline Deep Model Predictive Control (MPC) for?Visual Navigation, [.], the robot acquires a visual trajectory consisting of multiple subgoal images in the teaching step. In the repeat step, we propose two network architectures, namely ViewNet and VelocityNet. The combination of the two networks allows the robot to follow the visual trajectory. ViewNet is trained
55#
發(fā)表于 2025-3-31 01:56:27 | 只看該作者
56#
發(fā)表于 2025-3-31 08:59:50 | 只看該作者
57#
發(fā)表于 2025-3-31 09:59:20 | 只看該作者
,UCorr: Wire Detection and?Depth Estimation for?Autonomous Drones,e challenges, the detection of wires stands out due to their slender profile, which poses a unique and intricate problem. To address this issue, we present an innovative solution in the form of a monocular end-to-end model for wire segmentation and depth estimation. Our approach leverages a temporal
58#
發(fā)表于 2025-3-31 17:24:05 | 只看該作者
59#
發(fā)表于 2025-3-31 20:58:03 | 只看該作者
Multi-UAV Weed Spraying,a common approach that may be harmful, destructive, and too slow, while aerial UAV spraying can be safe, non-destructive, and quick. Spraying efficiency and accuracy can be enhanced when adopting multiple UAVs. In this context, we propose a new multiple UAV spraying system that autonomously and accu
60#
發(fā)表于 2025-3-31 21:44:16 | 只看該作者
,Human Comfort Factors in?People Navigation: Literature Review, Taxonomy and?Framework,ortant. So far, PNS have received less attention than mobile robots. However, the work on mobile robots cannot always be transferred to PNS because there are important differences in navigating people. In this paper, we address these differences by providing a comprehensive literature review on huma
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