Publication2023
Lane detection under artificial colored light in tunnels and on highways: an IoT-based framework for smart city infrastructure
The record
- Type
- Publication
- Date
- 1 August 2023
- Level
- National
- Journal
- Complex and Intelligent Systems
- Volume
- 9
- Issue
- 4
- Pages
- 3601-3612
- Published
- 1 August 2023
- DOI
- 10.1007/s40747-021-00381-2
- Scopus ID
- 85111805578
- ISSN
- 21994536
- Authors
- 5
- Open access
- Yes
- Citations
- 62
- 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
9 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
IoT-based framework for autonomous vehicle lane detection achieves 95.3% accuracy in tunnels and highways, advancing smart city infrastructure technology.
- 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
11 Make cities and human settlements inclusive, safe, resilient and sustainable
Real-time lane detection system with cloud integration supports sustainable cities through improved road safety and autonomous vehicle deployment.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-2.4 Infrastructure and connectivity
Infrastructure and connectivity advancement through IoT-enabled smart highway systems for vehicle localization and autonomous driving applications.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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Provenance
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- 1
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Citing this record
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KIIT Deemed to be University. “Lane detection under artificial colored light in tunnels and on highways: an IoT-based framework for smart city infrastructure”. Kortex.