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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2024

A Multi-Modal Transformer Optimized Object Identification Model for Passenger Safety in Ridesharing Vehicles

The record

Type
Publication
Date
1 January 2024
Level
National
Journal
Intelligent Computing and Emerging Communication Technologies ICEC 2024
Published
1 January 2024
DOI
10.1109/icec59683.2024.10837164
Scopus ID
85218031427
Authors
5
Open access
No
Citations
5
International co-authorship
No
Co-author countries
IN

Classification

Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.

UN Sustainable Development Goals

  1. 8.8 Protect labour rights and promote safe and secure working environments for all workers

    TargetPrimaryHigh confidenceJudged

    AI system designed to enhance passenger safety in rideshare vehicles and detect threats for immediate response directly addresses safe working environment for both drivers and passengers.

    High confidence
    The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
    Judged
    Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

Viksit Bharat @2047

  1. vb-4.4 Public safety, cybersecurity and national security

    Sub-themePrimaryHigh confidenceJudged

    Public safety technology development for transportation sector threat detection aligns with public safety and security theme.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “A Multi-Modal Transformer Optimized Object Identification Model for Passenger Safety in Ridesharing Vehicles”. Kortex.

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