Object and lane detection using lightweight deep convolution neural networks for advanced driver assistance application

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Publication Details

Journal
International Journal of Critical Infrastructures
Published
2025-03-02
DOI
https://doi.org/10.1504/ijcis.2027.10069729
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
Field-Weighted Citation Impact
0.00
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article

Object and lane detection using lightweight deep convolution neural networks for advanced driver assistance application

J. Kathirvelan, S Adhithya, Durdle N.G.
International Journal of Critical Infrastructures
Autonomous Vehicle Technology and Safety
article

Object and lane detection using lightweight deep convolution neural networks for advanced driver assistance application

J. Kathirvelan, S Adhithya, Durdle N.G.
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Critical InfrastructuresVol. 23(2)
Openalex Percentile: Top 97%
Autonomous Vehicle Technology and Safety
DOISourceOpenAlex
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Object and lane detection using lightweight deep convolution neural networks for advanced driver assistance application — J. Kathirvelan, S Adhithya, et al. · International Journal of Critical Infrastructures (2025) | TGRS Research Map | TGRS