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automatic detection of vehicles in outdoor parking lots from zenith perspective using neural networks

Automatic detection of vehicles in outdoor parking lots from...

2020 Summer computer Simulation Conference, SCSC 2020, Held at the 2020 Summer Simulation Multi-Conference, SummerSim 2020

作者： García, Juan Manuel Carrera Piorno, Joaquín Recas Mata-Garcia, María Guijarro Department of Computer Architecture and Automatic Control Faculty of Computer Science Universidad Complutense de Madrid Spain

ISBN: (纸本)9781713819462

Nowadays there are a variety of methods to assist parking users in finding free sites in parking lots. However, there is no automatic system that takes into account the size of the car looking for a space or whether the cars adjacent to the free spaces are correctly parked. This paper presents a new method for detecting and calculating the area of vehicles in images taken from a zenith plane using computer vision and machine learning techniques that will help to create a vehicle-oriented search algorithm dedicated to finding the optimal spaces for vehicles entering an outdoor parking lot based on its characteristics. Results with scaled-down and real vehicles show that this new method can detect the area of the vehicles in an image with an average accuracy of 97.98%. ©2020 Society for Modeling & Simulation International (SCS)

关键词： Vehicles

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Analysis of YouTube Video Comments with NLP Methods

Analysis of YouTube Video Comments with NLP Methods

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International Conference on Electronics, computers and Artificial Intelligence (ECAI)

作者： Pirnau Mironela Priescu Iustin Priescu Catalina Mihaela Pirnau Claudiu Ghiculescu Liviu Daniel Department of Informatics Faculty of Informatics “Titu Maiorescu” University Bucharest Romania Faculty of Automatic Control and Computer Science National University of Science and Technology POLITEHNICA Bucharest Bucharest Romania Manufacturing Engineering Department Faculty of Industrial Engineering and Robotics National University of Science and Technology POLITEHNICA Bucharest Bucharest Romania

ISBN: (数字)9798350371154

ISBN: (纸本)9798350371161

This study proposes methods that can be used to examine and interpret comments that users have made after watching videos on YouTube on a particular topic. YouTube tutorials are very popular among young people. They have become an important pillar in informal education, thus contributing to the rapid acquisition of skills and knowledge. Under these circumstances, we were interested in analysing the YouTube videos comments, knowing that the platform has a continuous increase in popularity, which is also due to the opportunities of sharing them. Since ChatGPT-themed YouTube videos have seen a significant surge in popularity since 2022, we were interested to analyse some videos that approach the topics of “ChatGPT, AI clone, AI robot and Deep Learning.”

关键词： Video on demand Social networking (online) Education Tutorials Chatbots Web sites Artificial intelligence

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On Model and Data Scaling for Skeleton-based Self-Supervised Gait Recognition

arXiv

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arXiv 2025年

作者： Cosma, Adrian Cǎtrunǎ, Andy Rǎdoi, Emilian University Politehnica of Bucharest Faculty of Automatic Control and Computer Science Romania

Gait recognition from video streams is a challenging problem in computer vision biometrics due to the subtle differences between gaits and numerous confounding factors. Recent advancements in self-supervised pretraining have led to the development of robust gait recognition models that are invariant to walking covariates. While neural scaling laws have transformed model development in other domains by linking performance to data, model size, and compute, their applicability to gait remains unexplored. In this work, we conduct the first empirical study scaling on skeleton-based self-supervised gait recognition to quantify the effect of data quantity, model size and compute on downstream gait recognition performance. We pretrain multiple variants of GaitPT — a transformer-based architecture — on a dataset of 2.7 million walking sequences collected in the wild. We evaluate zero-shot performance across four benchmark datasets to derive scaling laws for data, model size, and compute. Our findings demonstrate predictable power-law improvements in performance with increased scale and confirm that data and compute scaling significantly influence downstream accuracy. We further isolate architectural contributions by comparing GaitPT with GaitFormer under controlled compute budgets. These results provide practical insights into resource allocation and performance estimation for real-world gait recognition systems. © 2025, CC BY-NC-ND.

关键词： Budget control

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How capable are state-of-the-art language models to cope with sarcasm?

How capable are state-of-the-art language models to cope wit...

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International Conference on control Systems and computer science (CSCS)

作者： Alexandru -Costin Băroiu Ştefan Trăuşan-Matu Faculty of Automatic Control and Computer Science Politehnica University of Bucharest Bucharest Romania Romanian Academy Research Institute for Artificial Intelligence “Mihai Drăganescu” Academy of Romanian Scientists Bucharest Romania

Sarcasm detection has established itself as one of the more difficult Natural Language Processing tasks, due to the complex nature of sarcasm. This paper aims to benchmark the performance of state-of-the-art models like BERT, RoBERTa, ALBERT and GPT-3 when faced with this task. The dataset selected is MUStARD, which has increased in popularity in recent years, especially for multimodal tasks, and is one of the most qualitative and data rich dataset. An untuned GPT-3 based model was selected as the baseline and all the other models were fine-tuned using the textual data present in MUStARD, mainly the context and utterance information. The best performer was found to be the GPT-3 fine-tuned model, with an F1 score of 77. This is in line with the reported feats of GPT-3 based models that have popularized in recent months and reaffirms the superiority of GPT-3. Future avenues of research are then presented and explored, and the conclusions are drawn.

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Energy Efficient Hardware Acceleration of Neural Networks with Power-of-Two Quantisation

arXiv

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arXiv 2022年

作者： Przewlocka-Rus, Dominika Kryjak, Tomasz Embedded Vision Systems Group Computer Vision Laboratory Department of Automatic Control and Robotics AGH University of Science and Technology Krakow Poland

Deep neural networks virtually dominate the domain of most modern vision systems, providing high performance at a cost of increased computational complexity. Since for those systems it is often required to operate both in real-time and with minimal energy consumption (e.g., for wearable devices or autonomous vehicles, edge Internet of Things (IoT), sensor networks), various network optimisation techniques are used, e.g., quantisation, pruning, or dedicated lightweight architectures. Due to the logarithmic distribution of weights in neural network layers, a method providing high performance with significant reduction in computational precision (for 4-bit weights and less) is the Power-of-Two (PoT) quantisation (and therefore also with a logarithmic distribution). This method introduces additional possibilities of replacing the typical for neural networks Multiply and ACcumulate (MAC – performing, e.g., convolution operations) units, with more energy-efficient Bitshift and ACcumulate (BAC). In this paper, we show that a hardware neural network accelerator with PoT weights implemented on the Zynq UltraScale + MPSoC ZCU104 SoC FPGA can be at least 1.4x more energy efficient than the uniform quantisation version. To further reduce the actual power requirement by omitting part of the computation for zero weights, we also propose a new pruning method adapted to logarithmic quantisation. © 2022, CC BY.

关键词： System-on-chip

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Hardware-in-the-loop simulation of a UAV autonomous landing algorithm implemented in SoC FPGA

arXiv

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arXiv 2022年

作者： Szolc, Hubert Kryjak, Tomasz Embedded Vision Systems Group Computer Vision Laboratory Department of Automatic Control and Robotics AGH University of Science and Technology Krakow Poland

This paper presents a system for hardware-in-the-loop (HiL) simulation of unmanned aerial vehicle (UAV) control algorithms implemented on a heterogeneous SoC FPGA computing platforms. The AirSim simulator running on a PC and an Arty Z7 development board with a Zynq SoC chip from AMD Xilinx were used. Communication was carried out via a serial USB link. An application for autonomous landing on a specially marked landing strip was selected as a case study. A landing site detection algorithm was implemented on the Zynq SoC platform. This allowed processing a 1280 × 720 @ 60 fps video stream in real time. Performed tests showed that the system works correctly and there are no delays that could negatively affect the stability of the control. The proposed concept is characterised by relative simplicity and low implementation cost. At the same time, it can be applied to test various types of high-level perception and control algorithms for UAV implemented on embedded platforms. We provide the code developed on GitHub, which includes both Python scripts running on the PC and C code running on Arty Z7. © 2022, CC BY.

关键词： System-on-chip

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Experimenting with networked control software subject to faults

Experimenting with networked control software subject to fau...

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IEEE Conference on Decision and control

作者： Brindha Jeniefer Josephrexon Martina Maggio master student at Saarland University Germany Department of Computer Science Saarland University Germany Department of Automatic Control Lund University Sweden

ISBN: (数字)9781665467612

ISBN: (纸本)9781665467629

Faults and errors are common in the execution of digital controllers on top of embedded hardware. Researchers from the embedded system domain devised models to understand and bound the occurrence of these faults. Using these models, control researchers have demonstrated robustness properties of control systems, and of their corresponding digital implementations. In this paper, we build a framework to experiment with the injection of faults in a networked control system that regulates the behaviour of a Furuta pendulum. We use the software framework to experiment on computational problems that cause the control signals not to be available on time, and network faults that cause dropped packets during the transmission of sensor data and actuator commands.

关键词： Actuators Embedded systems Statistical analysis Networked control systems Software Robustness Hardware

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Roblets: Robotic Tablets That Self-Assemble and Self-Fold into a Robot

Roblets: Robotic Tablets That Self-Assemble and Self-Fold in...

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IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

作者： Junyi Han Daniela Rus Shuhei Miyashita Automatic Control and Systems Engineering Department University of Sheffield Sheffield UK Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge MA USA Insigneo Institute for in silico Medicine

Inspired by human proteins that are synthesized from only 20 types of amino acids, the development of self-assembly methods that allow robots to be built simply by randomly stirring the parts has been explored for many years. The key challenges include how to synthesize parts in pieces into a three-dimensional functional structure in a practical time, and subsequently, achieve a controlled robotic motion, all with minimal human intervention. This study proposes a method of self-assembling a 3D robot by first self-assembling random parts into a 2D structure and then self-folding it into a 3D shape. Once self-folded, the robot, whose compositional parts contain magnets, becomes capable of performing basic tasks such as block-pushing upon an application of an external magnetic field. Self-assembly from parts into a two-dimensional structure was performed by repeatedly colliding the parts with each other, and combining them with complementary-shaped parts, like matching jigsaw puzzle pieces. Self-folding was performed by shrinking a heat-responsive film attached across the hinge of each assembly part in hot water, causing the entire 2D structure to self-fold. The experiment demonstrated a series of 13 parts self-assembling into the shape of a 3D beetle, then walking and pushing an object in 13 minutes. The self-assembly process is programmed (mechanically) to generate the same geometry even if the number of parts is greater than the necessary number for the structure, thus is capable of generating multiple structures simultaneously.

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Energy Efficient Hardware Acceleration of Neural Networks with Power-of-Two Quantisation

TechRxiv

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TechRxiv 2022年

关键词： System-on-chip

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To be or not to be? Assessment on using touchscreen as inceptor in flight operation

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Transportation Research Procedia 2022年 66卷 117-124页

作者： Wen-Chin Li Yifan Wang Wojciech Tomasz Korek Safety and Accident Investigation Centre Cranfield University Cranfield United Kingdom Dynamics Simulation and Control Group Cranfield University Cranfield United Kingdom Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Poland

Introduction . The innovative concept on applying touchscreen controls on the flight deck design had been discussed for a long time. However, there are some potential risks on touchscreen applications constrained by the issues associated with turbulence and pilots’ inadvertent activation. Research questions . This research aims to evaluate human-computer interactions and handling quality using touchscreens as inceptor in flight operations. Method . The scenario was set to conduct an instrument landing on the final approach using Future System Simulator (FSS). There are 8 commercial pilots (flight hours M = 4475.0, SD = 2742.1) using three different inceptors including traditional sidestick, touchscreen and gamepad for ILS landing. Results . There was a significant difference among three inceptors on handling quality in both landing without turbulence (F (2,14) = 6.25, p =.01, η p 2  = .47) and landing with turbulence (F (2,14) = 3.93, p =.04, η p 2  = .36) scenarios. Furthermore, post Hoc comparisons revealed that the handling quality of touchscreen was significantly lower than sidestick and gamepad. Discussion . By analyzing participants’ empirical experiences, the touchscreen inceptor was rated as the lowest handling quality among three inceptors due to the novel and lack of practice effects in flight operations. However, there is a potential on the information supply for touchscreen inceptor based on pilots’ feedbacks. Conclusion . Touchscreens provide numerous benefits for making flight decks simpler, but the usage as an inceptor is still in its infancy and there are still lots of problems that need to be fixed. Future Systems Simulator (FSS) is a highly reconfigurable modular flight simulator that allows pilots/researchers to explore the potential on future flight decks design for single pilot operations. There are some potential benefits on the implementation touchscreen inceptor for future flight deck design if the human-centred design principle can be integr

关键词： Flight Deck Design Human-computer Interactions Handling Quality Turbulence Situation Awareness

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