Results 51 to 60 of about 328,418 (188)
Concurrency Frameworks for Embedded Systems: A Comparative Evaluation of FreeRTOS, RTIC, and Embassy
IET Computers &Digital Techniques, Volume 2026, Issue 1, 2026.This paper presents a quantitative and qualitative comparison of three concurrency frameworks for embedded real‐time systems: the C‐based FreeRTOS kernel and the rust‐based real‐time interrupt‐driven concurrency (RTIC) and Embassy frameworks. All three frameworks are implemented on an STM32F3 ARM Cortex‐M4 platform using three representative ...
Guoping Wang, Giovanni Battista Gaggero
wiley +1 more source
IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.A real‐time embedded perception pipeline tailored for ITS and AVs, with a focus on soft deadline adherence and timing‐aware deployment. We deploy a post‐training quantized YOLOv8n model on an NVIDIA Jetson Orin Nano using a ROS 2‐based architecture and stereo input from a ZED 2i camera.
Saranya M, Archana N, Rishi Koushik G
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, 2022 43 FolienDer Beitrag beschreibt wie System-FMEAs im Rahmen der funktionalen Sicherheit zu strukturieren und aufzubauen sind. Dabei wird speziell auf die Themen Gefahrenanalyse und Risikobewertung, den Risikograph nach ISO 26262, sowie Vorgehensweisen zur
Schloske, Alexander
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Deep Learning Approaches for Effective Fog Detection
IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.This paper presents an innovative system for detecting foggy road scenarios and classifying visibility levels to provide timely alerts to drivers, thereby enhancing road safety. The authors introduce two new image datasets, Foggy‐Ceit 2023 and an extended Foggy CityScapes – DBF, and evaluate the performance of classical vision techniques and deep ...
Olatz Iparraguirre +3 more
wiley +1 more source
Integrated safety and security enhancement of connected automated vehicles using DHR architecture
Security and Safety, 2023 Safety and security are interrelated and both essential for connected automated vehicles (CAVs). They are usually investigated independently, followed by standards ISO 26262 and ISO/SAE 21434, respectively.
Li Yufeng +3 more
doaj +1 more source
Security Challenges and Solutions in Self‐Driving Vehicles: A Comprehensive Review
IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.This article presents a comprehensive review of cybersecurity challenges and solutions in self‐driving vehicles, focusing on threats across vehicular communication, sensors, artificial intelligence (AI) systems, and data privacy. It categorises attacks based on autonomous vehicle architecture layers and highlights advanced countermeasures such as AI ...
Yaw Opoku Mensah Sekyere +2 more
wiley +1 more source
AI–Augmented Real‐Time Collaborative Blended Modeling Framework for Automotive Embedded Systems
IET Software, Volume 2026, Issue 1, 2026.Model‐driven engineering (MDE) has emerged as a foundational paradigm for the development of embedded systems in domains such as automotive, where stringent correctness and structural consistency must be maintained throughout the engineering process. However, traditional modeling practices often suffer from fragmented toolchains, siloed notations, and ...
Misbah Mehboob Awan +4 more
wiley +1 more source
A Layout-Based Method for Analog Fault Injection in the Context of Functional Safety
IEEE AccessDigital and analog circuits are fundamental components embedded across a wide range of applications, including but not limited to consumer electronics, automotive systems, aerospace technologies, medical instrumentation, and industrial automation.
Raffi Der Yeghiayan +3 more
doaj +1 more source
SimBAC‐NFS: Similarity‐Based Aggregation and Calibration of Neuro‐Fuzzy Systems
Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.Ensemble learning improves the accuracy of the neuro‐fuzzy systems but compromises their interpretability because of the separate, independent rule bases. In this paper, we propose SimBAC‐NFS, which combines the variance reduction of bagging with the residual learning of boosting to produce a single interpretable model and rule base. The model assesses
Hafsaa Ouifak, Ali Idri, Pramita Mishra
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, 2022 22 FolienDer Beitrag beschreibt die Vorgehensweisen nach ISO 26262. Dabei wir neben den Fehlermodellen auf die Ermittlung zufälliger Hardwarefehler des Diagnosedeckungsgrades und der Kennwerte zur funktionalen Sicherheit eingegangen.
Schloske, Alexander
core