APPLICATION 02: AUTOMOTIVE ISO 26262
# APPLICATION 02: AUTOMOTIVE ISO 26262## Certifiable AI for Safety-Critical Vehicles---### The Problem| **Current Automotive AI** | **Reality** ||---|---|| **Stochastic outputs** | Cannot be certified under ISO 26262 || **Cloud-dependent** | Latency, connectivity, data sovereignty issues || **Energy-hungry** | 500,000 µJ per query — drains ...
Taalabi, M., LLM-DIPLOMAT, Team
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Sensors in Self-Driving Vehicles: A Detailed Literature Review and New Trends. [PDF]
Sensors (Basel)Viktor P, Kiss G.
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Performance Verification of Autonomous Driving LiDAR Sensors under Rainfall Conditions in Darkroom. [PDF]
Sensors (Basel), 2023 Choe J, Cho H, Chung Y.
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Functional safety-oriented hazard analysis and risk assessment for vehicular fuel cell systems. [PDF]
HeliyonSong K +5 more
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Sensor Fusion for Power Line Sensitive Monitoring and Load State Estimation. [PDF]
Sensors (Basel), 2023 Schimmack M, Belda K, Mercorelli P.
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A Virtual Testing Framework for Real-Time Validation of Automotive Software Systems Based on Hardware in the Loop and Fault Injection. [PDF]
Sensors (Basel)Abboush M, Knieke C, Rausch A.
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Automotive Cybersecurity: A Survey on Frameworks, Standards, and Testing and Monitoring Technologies. [PDF]
Sensors (Basel)Kifor CV, Popescu A.
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A review on AI Safety in highly automated driving. [PDF]
Front Artif Intell, 2022 Wäschle M +4 more
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Quantum-topological meta-learning for tire-road contact stability and multi-modal road prediction in autonomous driving. [PDF]
PLoS OneWang N.
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Contrast Enhancement Method Using Region-Based Dynamic Clipping Technique for LWIR-Based Thermal Camera of Night Vision Systems. [PDF]
Sensors (Basel)Choi CH +6 more
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