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  1. 20 gru 2021 · The document introduces AI in vehicle technology and explores AI algorithms in autonomous driving. It discusses the impacts of predictive failure analysis and the movement toward autonomous...

  2. 24 sie 2022 · The digital transformation of vehicles enables automakers to better diagnose abnormal conditions and predict the remaining useful life of dismantled components, thereby improving vehicle performance and safety.

  3. 1 AI is Important for Automotive Industry. Artificial Intelligence (AI) offers great potential not only for autonomous vehicles, but also for many other automotive applications, where an AI-based algorithm can be used to augment a car functionality by usage of available or new sensor data.

  4. 20 mar 2020 · This paper proposes a Lightweight In-Vehicle Edge Gateway (LI-VEG) for the self-diagnosis of an autonomous vehicle, which supports a rapid and accurate communication between in-vehicle...

  5. 1 sty 2019 · This paper presents holistic views of an artificially intelligent vehicle, the different methods adopted like a neural network, fuzzy logic, the different components, their advantages and ...

  6. Diagnostics and reference data on multiple car models, including wiring diagrams, DTCs, ECU pinout and waveform data, location diagrams, fuses and relays, typical malfunctions. Online database — available 24/7.

  7. Recently, the rapid development of automotive industries has given rise to large multidimensional datasets both in the production sites and after-sale services.

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