The precise description of the photons' scattering in matter is a complex physical, mathematical and computational task. However, just the scattered radiation is the dominant factor of X-ray images formation. So a...
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Windscreen optical quality is an important aspect of any advanced driver assistance system, and also for future autonomous driving, as today at least some cameras of the sensor suite are situated behind the windscreen...
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ISBN:
(纸本)9798350399462
Windscreen optical quality is an important aspect of any advanced driver assistance system, and also for future autonomous driving, as today at least some cameras of the sensor suite are situated behind the windscreen. Automotive mass production processes require measurementsystems that characterize the optical quality of the windscreens in a meaningful way, which for modern perception stacks implies meaningful for artificial intelligence (AI) algorithms. The measured optical quality needs to be linked to the performance of these algorithms, such that performance limits - and thus production tolerance limits - can be defined. In this article we demonstrate that the main metric established in the industry - refractive power - is fundamentally not capable of capturing relevant optical properties of windscreens. Further, as the industry is moving towards the modulation transfer function (MTF) as an alternative, we mathematically show that this metric cannot be used on windscreens alone, but that the windscreen forms a novel optical system together with the optics of the camera system. Hence, the required goal of a qualification system that is installed at the windscreen supplier and independently measures the optical quality cannot be achieved using MTF. We propose a novel concept to determine the optical quality of windscreens and to use simulation to link this optical quality to the performance of AI algorithms, which can hopefully lead to novel inspection systems.
The proceedings contain 225 papers. The topics discussed include: a novel method for aerial detection of densely occluded small targets;segmenting sonar images with an enhanced OTSU algorithm;learning a residual fusio...
ISBN:
(纸本)9798350331417
The proceedings contain 225 papers. The topics discussed include: a novel method for aerial detection of densely occluded small targets;segmenting sonar images with an enhanced OTSU algorithm;learning a residual fusion network for SAR image despeckling;deep learning-based particle gradation detection of fillers;pre-training For mmWave radar object detection through masked image modeling;industrial inspection auxiliary system based on AR technology;metric-based few-shot learning method for driver distracted behaviors detection;exploration of lightweight neural network architectures for sentiment analysis;a solar irradiance prediction method based on signal decomposition and informer;an intelligent measurement method for air preheater clearance;helmet detection method of improved YOLOv7-tiny;and research on person object tracking method based on extended reality.
Cloud computing is a highly scalable and frequently used expertise in today's rapidly evolving information and computer landscape. It runs on the payper-use, remote access, Internet-based, and on demand ideas, off...
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In modern power systems, renewable energy sources (RES), such as wind turbine, photovoltaics and (BES) battery energy storage are becoming increasingly important. However, maintaining a stable direct voltage (Vdc) bus...
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The proceedings contain 12 papers. The special focus in this conference is on Enterprise Design, Operations, and Computing. The topics include: A Taxonomy for Platform Revenue Models: An Empirical-to-Conceptual D...
ISBN:
(纸本)9783031465864
The proceedings contain 12 papers. The special focus in this conference is on Enterprise Design, Operations, and Computing. The topics include: A Taxonomy for Platform Revenue Models: An Empirical-to-Conceptual Development Approach;conceptual modeling in Support of Economic and Regulatory Viability Assessment - A Reality Check on the Example of Developing an Energy Community;what Do I Get from modeling?: An Empirical Study on Using Structural Conceptual Models;a Generic and Customizable Genetic Algorithms-Based Conceptual Model Modularization Framework;MARTSIA: Enabling Data Confidentiality for Blockchain-Based Process Execution;building an Ontological Bridge Between Supply Chain Resilience and IoT Applications;A Model-Driven Approach to SAP S/4HANA Development;a Methodology for the Analysis of Robotic systems via Process Mining;an Approach for Face Validity Assessment of Agent-Based Simulation Models Through Outlier Detection with Process Mining;progressing from Process Mining Insights to Process Improvement: Challenges and Recommendations.
作者：
Das, SunandaArvind, K.S.
Faculty of Engineering and Technology Department of Computer Science and Engineering Bangalore India
This study uses rf signals spectrum to calculate the delay of various radio waves. The 5G connection is a cutting-edge networking who responds to requests from two systems within the connection or on a particular vlan...
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In high security locations, anomaly detection in surveillance systems is essential for maintaining public safety. This work proposes an object detection approach utilizing model renowned for its real-time performance ...
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The rapid proliferation of the Internet of Things is changing industries by making connectivity seamless in nearly every object and letting them exchange data. The major problem inherent to the complexity and decentra...
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In the field of medical image analysis, the accurate segmentation of brain tumors plays a crucial role in the diagnosis and treatment of brain-related diseases. This study aims to address key challenges in this domain...
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