Results 21 to 30 of about 276 (160)

Data Acquisition System using a CIAA-Safety

Revista Elektrón, 2022
This paper presents the analysis, design, development and implementation of a data acquisition system from various sensors, to be installed and used in different FAA Air Vehicles, through an ARM® Cortex®-R4F CPU microcontroller that meets critical safety
Juan Pablo Rumie Vittar, Dario Walter. Diaz, Gustavo Miguel Rodriguez, Juan Octavio Oviedo, Ariel Cristian Principi, Damian Hector Primo, Diego Daniel Badino, Francisco Martin Escobar   +7 more
doaj   +1 more source

Seguridad en vehículos conectados.

I+D Revista de Investigaciones, 2015
El punto de partida de este artículo es la pregunta ¿Sería posible integrar el vehículo en e Internet de las cosas sin perjudicar la seguridad de su red electrónica?
André Hergenhan
doaj   +3 more sources

Auto recalls and software quality in the automotive sector

EAI Endorsed Transactions on Scalable Information Systems, 2018
Software for automobiles is one from innovative factors in the automotive industry. Automobile is represented as an amount of embedded systems (embedded systems) and it is a very complex computing system.
J. Pancik, A. Vemola, R. Kledus, M. Semela, A. Bradac   +4 more
doaj   +1 more source

Enhancing functional safety in FPGA-based motor drives

The Journal of Engineering, 2019
Motor control applications using small fast-spinning motors, and the advent of SiC and GaN switching transistors, are driving a need for compact drives with high-frequency control loop updates.
Benjamin Peter Jeppesen, Meenakshi Rajamani, Kevin Mark Smith   +2 more
doaj   +1 more source

A Systematic Approach to Enhancing ISO 26262 With Machine Learning-Specific Life Cycle Phases and Testing Methods

IEEE Access
This paper presents a systematic approach to enhancing ISO 26262, a widely adopted standard for automotive functional safety, by integrating Machine Learning (ML)-specific life cycle phases and testing methods for Automotive Safety Integrity Level (ASIL)
Padma Iyenghar, Emil Gracic, Gregor Pawelke   +2 more
doaj   +1 more source

Functional Safety-Oriented Risk Analysis of Heavy Vehicle Platooning

Communications
In this paper is presented platooning as a promising approach to reduce the greenhouse gas emissions, fuel consumption, and operation costs in heavy traffic. Attention is given to a risk assessment of vehicle-to-vehicle (V2V) communication in the context
Luboš Mikula, Jan Famfulík
doaj   +1 more source

An Experimental Evaluation of Control Flow Checking for Automotive Embedded Applications Compliant With ISO 26262

IEEE Access, 2023
Random hardware failures (RHFs) may result in data corruption and Control Flow Errors (CFEs). Hardening strategies are employed to mitigate RHFs in embedded systems, either by adding specialized hardware or using Software-Implemented Hardware Fault ...
Mohammadreza Amel Solouki, Jacopo Sini, Massimo Violante   +2 more
doaj   +1 more source

Traceable Metamorphic Test Cases for Robust Safety‐Critical Systems: A Deep Learning LiDAR Object Detector Example

Software Testing, Verification and Reliability, Volume 36, Issue 3-4, May–June 2026.
Metamorphic testing faces the challenge of providing a traceable argumentation for why a certain metamorphic relation (MR) was chosen. We propose a methodology to create MRs by linking them to defect hypotheses. We identify eight defect‐based MRs and show how failures can be prioritized by adjusting test evaluation parameters.
Simon Speth, Tobias Springer, Jannik Fischbach, Alexander Pretschner   +3 more
wiley   +1 more source

Strengthening Automotive Cybersecurity: A Comparative Analysis of ISO/SAE 21434-Compliant Automatic Collision Notification (ACN) Systems

Vehicles, 2023
The increasing usage of autonomous and automatic systems within the automotive industry is steering us towards a more interconnected world. This enhanced interconnectivity fosters a more streamlined driving experience, reduces costs, and provides timely ...
Biagio Boi, Tarush Gupta, Marcelo Rinhel, Iuliana Jubea, Rahamatullah Khondoker, Christian Esposito, Bruno Miguel Sousa   +6 more
doaj   +1 more source

Understanding the Autonomous Electric Vehicle Cyber Threat Landscape: A Focus on Infrastructure, Threats and Ontology‐Based Modelling

Energy Internet, Volume 3, Issue 1, Page 39-51, April 2026.
ABSTRACT The development of autonomous electric vehicles (AEVs) represents the convergence of two simultaneous automotive revolutions: electric vehicles (EVs) and autonomous vehicles (AVs). AVs require sensors, decision‐making systems and actuation systems to achieve autonomous driving, whereas EVs require intelligent management and real‐time ...
Ohud Alsadi, Abdulrahman Almijlad, Trinadh Pamulapati, Rajiv Ranjan, Devki Jha, Tejal Shah   +5 more
wiley   +1 more source