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Person re-identification with transformers and image stacking 32

Person re-identification with transformers and image stackin...

引用

32nd Telecommunications Forum, TELFOR 2024

作者： Stojanovic, Dimitrije Pavkovic, Bogdan Cetic, Nenad University of Novi Sad Faculty of Technical Sciences Departmant of Computing and Control Engineering Novi Sad Serbia

ISBN: (纸本)9798350391053

Person re-identification (ReID) is increasingly important due to the expansion of surveillance cameras. ReID can effectively operate in various conditions, making it suitable for security, retail analytics, and smart city applications. We propose a transformer-based model, DeepChangeVIT-ReID, fine-tuned with triplet loss, using the DeepChange dataset. We address long-term ReID challenges, including pose variations, camera angle differences, and clothing alterations. DeepChangeVIT-ReID achieves state-of-the-art performance, significantly improving Rank-1 accuracy compared to existing methods on the DeepChange dataset. © 2024 IEEE.

关键词： Distribution transformers

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Unit Test Generation Multi-Agent AI System for Enhancing Software Documentation and Code Coverage 32

Unit Test Generation Multi-Agent AI System for Enhancing Sof...

引用

32nd Telecommunications Forum, TELFOR 2024

作者： Stojanovic, Dimitrije Pavkovic, Bogdan Cetic, Nenad Krunic, Momcilo Vidakovic, Luka University of Novi Sad Faculty of Technical Sciences Departmant of Computing and Control Engineering Novi Sad Serbia LabSoft Novi Sad Serbia

ISBN: (纸本)9798350391053

Software development necessitates a robust testing plan though test development can be laborious and nonappealing task. We explore the utilization of the application artificial intelligence agents for generating and executing unit tests, enhancing the 'Mostly Basic Python Problems' dataset. We employ behavior-driven development within a three-agent system to generate user stories and unit tests. Empirical results indicate improvements in branch coverage, illustrating the effective utilization of large language models in software testing and development processes. © 2024 IEEE.

关键词： Software testing

来源：评论

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Improving Lane Annotation in Autonomous Driving Data Sets with Classical Computer Vision Techniques

Improving Lane Annotation in Autonomous Driving Data Sets wi...

引用

2023 IEEE Zooming Innovation in Consumer Technologies Conference, ZINC 2023

作者： Stojanovic, Dimitrije Cetic, Nenad Kocic, Jelena Pavkovic, Bogdan University of Novi Sad Faculty of Technical Sciences Departmant of Computing and Control Engineering Novi Sad Serbia Customer Programs TTTech Auto Belgrade Serbia

ISBN: (纸本)9798350347722

Autonomous driving systems rely on accurate and reliable lane detection to safely navigate roads. In this paper, we propose a method for improving lane annotation in autonomous driving data sets using classical computer vision techniques. The proposed method combines the Hough transform and linear curve fitting to detect and smooth the positions of lane markings in a video stream. We evaluate the performance of the proposed method on the Berkeley DeepDrive (BDD) dataset and compare it to the ground truth annotations. Results show that the proposed method achieves a high level of accuracy and robustness in lane detection, and can effectively improve lane annotation in autonomous driving data sets. Our method provides a valuable tool for training and evaluating autonomous driving systems, and can also be applied to improve annotation in different datasets. © 2023 IEEE.

关键词： Hough transforms

来源：评论

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A tool for detecting memory interference between AUTOSAR software components of different ASIL

A tool for detecting memory interference between AUTOSAR sof...

引用

Zooming Innovation in Consumer Electronics International Conference (ZINC)

作者： Anja Obradov Bogdan Pavković Departmant of Computing and Control Engineering Faculty of Technical Sciences University of Novi Sad Novi Sad Serbia

ISBN: (数字)9798350349153

ISBN: (纸本)9798350349160

Functional safety is an important aspect in the development of safety-critical software for the automotive industry, which can be challenging to achieve due to integration of software components of different criticality on one platform. The AU-TOSAR architecture supports the development of safety-critical systems by providing safety measures and mechanisms, including mechanisms in the memory domain. This paper proposes a tool for ensuring Freedom from Interference between software components of different ASIL while verifying AUTOSAR safety mechanisms in memory domain. Tool proposed in this paper is used to analyze and verify the correct implementation of memory partitioning in a system consisting of mixed-criticality software components. By verifying the correct implementation of the memory partitioning and memory mapping mechanisms, we contribute to the correct functionality of memory partitioning mechanism and memory protection unit.

关键词： Industries Technological innovation Interference Software Robustness Resource management Zinc

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Person re-identification with transformers and image stacking

Person re-identification with transformers and image stackin...

引用

Telecommunications Forum (TELFOR)

作者： Dimitrije Stojanović Bogdan Pavković Nenad Četić Departmant of Computing and Control Engineering Faculty of Technical Sciences University of Novi Sad Novi Sad Serbia

ISBN: (数字)9798350391060

ISBN: (纸本)9798350391077

关键词： Accuracy Smart cities Surveillance Scalability Stacking Transformers Cameras Telecommunications Security Identification of persons

来源：评论

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Unit Test Generation Multi-Agent AI System for Enhancing Software Documentation and Code Coverage

Unit Test Generation Multi-Agent AI System for Enhancing Sof...

引用

Telecommunications Forum (TELFOR)

作者： Dimitrije Stojanović Bogdan Pavković Nenad Četić Momčilo Krunić Luka Vidaković Departmant of Computing and Control Engineering Faculty of Technical Sciences University of Novi Sad Novi Sad Serbia LabSoft Novi Sad Serbia

ISBN: (数字)9798350391060

ISBN: (纸本)9798350391077

Software development necessitates a robust testing plan though test development can be laborious and nonappealing task. We explore the utilization of the application artificial intelligence agents for generating and executing unit tests, enhancing the “Mostly Basic Python Problems” dataset. We employ behavior-driven development within a three-agent system to generate user stories and unit tests. Empirical results indicate improvements in branch coverage, illustrating the effective utilization of large language models in software testing and development processes.

关键词： Software testing Codes Large language models Documentation Telecommunications Test pattern generators Software development management Python

来源：评论

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Improving Lane Annotation in Autonomous Driving Data Sets with Classical Computer Vision Techniques

Improving Lane Annotation in Autonomous Driving Data Sets wi...

引用

Zooming Innovation in Consumer Electronics International Conference (ZINC)

作者： Dimitrije Stojanović Nenad Četić Jelena Kocić Bogdan Pavković Departmant of Computing and Control Engineering Faculty of Technical Sciences University of Novi Sad Novi Sad Serbia TTTech Auto Customer Programs Belgrade Serbia

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