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检索条件"任意字段=18th International Conference on Control Automation Robotics and Vision"
5310 条 记 录,以下是4951-4960 订阅
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Real-Time Queue Length Estimation With Trajectory Reconstruction Using Surveillance Data
Real-Time Queue Length Estimation With Trajectory Reconstruc...
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international conference on control, automation, robotics and vision (ICARCV)
作者: Zihao Sheng Shibei Xue Yunwen Xu Dewei Li Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai
this paper presents a new method to estimate real-time queue lengths at a signalized intersection by utilizing limited data extracted from surveillance videos. this method focuses on reconstructing vehicles' traje... 详细信息
来源: 评论
Consensus Kalman Filtering for Sensor Networks Based on FDI Attack Detection
Consensus Kalman Filtering for Sensor Networks Based on FDI ...
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international conference on control, automation, robotics and vision (ICARCV)
作者: Jiali Hao Ya Zhang School of Automation Southeast University and with Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing China
this paper studies the consensus Kalman filtering algorithm with distributed attack detection for reducing the effects of false data injection attacks in wireless sensor networks. the FDI attacks are randomly injected... 详细信息
来源: 评论
A Review of Machine vision Applications in Aerospace Manufacturing Quality Inspection
A Review of Machine Vision Applications in Aerospace Manufac...
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Computer, control and robotics (ICCCR), international conference on
作者: Li Deng Gang Liu Yilian Zhang School of Mechanical and Automotive Engineering Shanghai University Of Engineering Science Shanghai China School of Mechatronic Engineering and Automation Shanghai University Shanghai China
Machine vision is a technology that uses image processing and analysis techniques to acquire and understand image information, enabling the recognition, measurement, and detection of objects. Machine vision is widely ... 详细信息
来源: 评论
A visual AGV-urban car using Fuzzy control
A visual AGV-urban car using Fuzzy control
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international conference on Autonomous Robots and Agents, ICARA
作者: Miguel A. Olivares-Mendez Ignacio Mellado Pascual Campoy Ivan Mondragon Carol Martinez Computer Vision Group Universidad Politénica de Madrid Madrid Spain
the goal of the work described in this paper is to develop a visual line guided system for being used on-board an Autonomous Guided Vehicle (AGV) commercial car, controlling the steering and using just the visual info... 详细信息
来源: 评论
Comparison of camera-based and 3D LiDAR-based place recognition across weather conditions
Comparison of camera-based and 3D LiDAR-based place recognit...
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international conference on control, automation, robotics and vision (ICARCV)
作者: Kamil Żywanowski Adam Banaszczyk Michał R. Nowicki Institute of Robotics and Machine Intelligence Faculty of Control Robotics and Electrical Engineering Poznan University of Technology Poznan Poland
Place recognition based on camera images provides excellent results on benchmarking datasets but might struggle in real-world adverse weather conditions like direct sun, rain, fog, or just darkness at night. In automo... 详细信息
来源: 评论
A Global Perception Attention-based Network for Point Cloud Completion  20
A Global Perception Attention-based Network for Point Cloud ...
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20th IEEE international conference on Mechatronics and automation, ICMA 2023
作者: Wu, Fengyong Dong, Enzeng Tong, Jigang Yang, Sen Li, Wenyu Tianjin University of Technology Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems Intelligent Robot Laboratory 391 Binshui West Road Tianjin China Nankai University College of Artificial Intelligence 94 Weijin Road Tianjin China
the purpose of point cloud completion is designed to high-precision complete the complete shape from local observations. However, the previous approaches have tended to focus on a good perception of local details and ... 详细信息
来源: 评论
Model Predictive Path Integral control Framework for Partially Observable Navigation: A Quadrotor Case Study
Model Predictive Path Integral Control Framework for Partial...
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international conference on control, automation, robotics and vision (ICARCV)
作者: Ihab S. Mohamed Guillaume Allibert Philippe Martinet Université Côte d’Azur Inria France Université Côte d’Azur CNRS I3S France
Recently, Model Predictive Path Integral (MPPI) control algorithm has been extensively applied to autonomous navigation tasks, where the cost map is mostly assumed to be known and the 2D navigation tasks are only perf... 详细信息
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A Neuro-Inspired Approach to Solve a Simultaneous Location and Mapping Task Using Shared Information in Multiple Robots Systems
A Neuro-Inspired Approach to Solve a Simultaneous Location a...
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international conference on control, automation, robotics and vision
作者: Matheus Chaves Menezes Edison Pignaton de Freitas Sen Cheng Alexandre Cesar Muniz de Oliveira Paulo Rogerio de Almeida Ribeiro Graduate Program on Computer Science Federal University of Maranhão São Luís Brazil Graduate Program on Computer Science Federal University of Rio Grande do Sul Porto Alegre Brazil Computational Neuroscience Ruhr University Bochum Bochum Germany Department of Informatics Federal University of Maranhão São Luís Maranhão Department of Computer Engineering Federal University of Maranhão São Luís Maranhão
this paper presents a neuro-inspired mapping approach that uses partial information shared by multiple robots to reduce the time to create a map of an entire environment. Robots using a neurobiologically inspired algo... 详细信息
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Swarm robotics Pattern Formation Algorithms
Swarm Robotics Pattern Formation Algorithms
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international conference on control, Mechatronics and automation (ICCMA)
作者: Mohamed H. Wagdy Hady A. Khalil Shady A. Maged Ain shams University Cairo Egypt
Pattern formation is an important challenge in autonomous swarm robotics, it can drastically increase the efficiency of a group of robots and can be used in applications such as exploration and area coverage. Many pat... 详细信息
来源: 评论
A new k-NN based Open-Set Recognition method
A new k-NN based Open-Set Recognition method
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international conference on control, automation, robotics and vision (ICARCV)
作者: Xue-meng Hui Zhun-ga Liu Key Laboratory of Information Fusion Technology of Ministry of Education Northwestern Polytechnical University Xi'an China
Traditional pattern classification methods can handle the objects whose categories are contained in the given (known) categories of training data. In open-set scenarios, objects to classify may belong to the ignorant ... 详细信息
来源: 评论