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Redefining Automotive Safety using AI and ML

Year: 2024

Type: article

Abstract: The evolution of safety on the road has undergone a significant transformation, shifting from reactive measures aimed at mitigating crash impacts to proactive systems focused on accident prevention. The integration of Artificial Intelligence (AI) and Machine Learning (ML) into automotive safety frameworks powers this shift. By seamlessly blending passive safety features with active safety systems, AI and ML are revolutionizing how vehicles protect both occupants and vulnerable road users.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.14604764

Authors: Lakshmi Prasad, Bhatta, Narasimha, (Nara) K

Language: English

Topic: Autonomous Vehicle Technology and Safety

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W6949405851

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