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检索条件"机构=Computer And Embedded Systems Lab"
140 条 记 录,以下是41-50 订阅
排序:
SolAR: Energy Positive Human Activity Recognition using Solar Cells
2021 IEEE International Conference on Pervasive Computing an...
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2021 IEEE International Conference on Pervasive Computing and Communications, PerCom 2021 2021年
作者: Sandhu, Muhammad Moid Khalifa, Sara Geissdoerfer, Kai Jurdak, Raja Portmann, Marius The University of Queensland School of Information Technology and Electrical Engineering Brisbane Australia Australia School of Computer Science and Engineering University of New South Wales Sydney Australia TU Networked Embedded Systems Lab Dresden Germany School of Electrical Engineering and Computer Science Queensland University of Technology Brisbane Australia
来源: 评论
End-to-End Design for Self-Reconfigurable Heterogeneous Robotic Swarms
End-to-End Design for Self-Reconfigurable Heterogeneous Robo...
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International Conference on Distributed Computing in Sensor systems (DCOSS)
作者: Jorge Peña Queralta Li Qingqing Tuan Nguyen Gia Hong-Linh Truong Tomi Westerlund Turku Intelligent Embedded and Robotic Systems (TIERS) Lab University of Turku Turku Finland Department of Computer Science Aalto University Finland
The following topics are dealt with: Internet of Things; wireless sensor networks; mobile robots; autonomous aerial vehicles; learning (artificial intelligence); control engineering computing; mobile computing; protoc... 详细信息
来源: 评论
Motion planner augmented reinforcement learning for robot manipulation in obstructed environments
arXiv
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arXiv 2020年
作者: Yamada, Jun Lee, Youngwoon Salhotra, Gautam Pertsch, Karl Pflueger, Max Sukhatme, Gaurav S. Lim, Joseph J. Englert, Peter Cognitive Learning for Vision and Robotics Lab United States Robotic Embedded Systems Laboratory Department of Computer Science University of Southern California United States
Deep reinforcement learning (RL) agents are able to learn contact-rich manipulation tasks by maximizing a reward signal, but require large amounts of experience, especially in environments with many obstacles that com... 详细信息
来源: 评论
Distributed nonlinear model predictive control and metric learning for heterogeneous vehicle platooning with cut-in/cut-out maneuvers
arXiv
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arXiv 2020年
作者: Basiri, Mohammad Hossein Ghojogh, Benyamin Azad, Nasser L. Fischmeister, Sebastian Karray, Fakhri Crowley, Mark The Department of Systems Design Engineering University of Waterloo ON Canada The Department of Electrical and Computer Engineering University of Waterloo ON Canada The Smart Hybrid and Electric Vehicles Systems Lab The Real-Time Embedded Software Lab The Machine Learning Lab The Centre for Pattern Analysis and Machine Intelligence
Vehicle platooning has been shown to be quite fruitful in the transportation industry to enhance fuel economy, road throughput, and driving comfort. Model Predictive Control (MPC) is widely used in literature for plat... 详细信息
来源: 评论
Continual Learning in the Presence of Repetition
arXiv
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arXiv 2024年
作者: Hemati, Hamed Pellegrini, Lorenzo Duan, Xiaotian Zhao, Zixuan Xia, Fangfang Masana, Marc Tscheschner, Benedikt Veas, Eduardo Zheng, Yuxiang Zhao, Shiji Li, Shao-Yuan Huang, Sheng-Jun Lomonaco, Vincenzo van de Ven, Gido M. Institute for Computer Science University of St. Gallen Rosenbergstrasse 30 St. Gallen9000 Switzerland Department of Computer Science University of Bologna Via dell’Università 50 Cesena47521 Italy The University of Chicago 5801 S Ellis Ave Chicago60637 United States Argonne National Laboratory 9700 S Cass Ave Lemont60439 United States Graz University of Technology Rechbauerstraße 12 Graz8010 Austria TU Graz - SAL Dependable Embedded Systems Lab Silicon Austria Labs Graz8010 Austria Know-Center GmbH Sandgasse 36/4 Graz8010 Austria MIIT Key Laboratory of Pattern Analysis and Machine Intelligence Nanjing University of Aeronautics and Astronautics Nanjing211106 China Department of Computer Science University of Pisa Piano Secondo Largo Bruno Pontecorvo 3 Pisa56127 Italy Department of Electrical Engineering KU Leuven Kasteelpark Arenberg 10 Leuven3001 Belgium
Continual learning (CL) provides a framework for training models in ever-evolving environments. Although re-occurrence of previously seen objects or tasks is common in real-world problems, the concept of repetition in... 详细信息
来源: 评论
Towards energy positive sensing using kinetic energy harvesters
arXiv
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arXiv 2020年
作者: Sandhu, Muhammad Moid Geissdoerfer, Kai Khalifa, Sara Jurdak, Raja Portmann, Marius Kusy, Brano School of Information Technology & Electrical Engineering University of Queensland Brisbane Australia Australia Networked Embedded Systems Lab TU Dresden Germany School of Computer Science & Engineering University of New South Wales Sydney Australia School of Electrical Engineering & Computer Science Queensland University of Technology Brisbane Australia
—Conventional systems for motion context detection rely on batteries to provide the energy required for sampling a motion sensor. Batteries, however, have limited capacity and, once depleted, have to be replaced or r... 详细信息
来源: 评论
Competition: Low-Power Wireless Bus Baseline  19
Competition: Low-Power Wireless Bus Baseline
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Proceedings of the 2019 International Conference on embedded Wireless systems and Networks
作者: Fabian Mager Romain Jacob Reto Da Forno Marco Zimmerling Networked Embedded Systems Lab TU Dresden Germany Computer Engineering and Networks Laboratory ETH Zurich Switzerland
No abstract available.
来源: 评论
Open real-time, non-invasive fish detection and size estimation utilizing binocular camera system in a Portuguese river affected by hydropeaking
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Ecological Informatics 2025年
作者: Jürgen Soom Isabel Boavida Renan Leite Maria João Costa Gert Toming Mairo Leier Jeffrey A. Tuhtan Embedded AI Research Lab Tallinn University of Technology Akadeemia tee 15A Tallinn 12618 Harjumaa Estonia Department of Computer Systems Akadeemia tee 15A Tallinn 12618 Harjumaa Estonia Civil Engineering Research and Innovation for Sustainability Instituto Superior Técnico Universidade de Lisboa Lisboa Portugal Forest Research Centre TERRA Associate Laboratory School of Agriculture University of Lisbon Lisboa Portugal
The need for efficient approaches to track and assess fish behavior in rivers impacted by hydropeaking is increasing. Nonetheless, employing an automated camera system for underwater monitoring requires that the algor... 详细信息
来源: 评论
Towards Optimal Kinetic Energy Harvesting for the Batteryless IoT
arXiv
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arXiv 2020年
作者: Sandhu, Muhammad Moid Geissdoerfer, Kai Khalifa, Sara Jurdak, Raja Portmann, Marius Kusy, Brano School of Information Technology & Electrical Engineering University of Queensland Brisbane Australia Australia Networked Embedded Systems Lab TU Dresden Germany School of Computer Science & Engineering University of New South Wales Sydney Australia School of Electrical Engineering & Computer Science Queensland University of Technology Brisbane Australia
—Traditional Internet of Things (IoT) sensors rely on batteries that need to be replaced or recharged frequently which impedes their pervasive deployment. A promising alternative is to employ energy harvesters that c... 详细信息
来源: 评论
Correction: Privacy preservation in the internet of vehicles using local differential privacy and IOTA ledger
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Cluster Computing 2023年 第6期26卷 3379-3379页
作者: Iftikhar, Zainab Anjum, Adeel Khan, Abid Shah, Munam Ali Jeon, Gwanggil Department of Computer Science COMSATS University Islamabad Islamabad Pakistan Institute of Information Technology Quaid i Azam University Islamabad Pakistan College of Science and Engineering University of Derby Derby UK Department of Embedded Systems Engineering Incheon National University Incheon Republic of Korea Energy Excellence & Smart City Lab Incheon National University Incheon Republic of Korea
来源: 评论