IEEE Systems Journal

2023

DOI: 10.1109/jsyst.2022.3210209

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G-NET: Accurate Lane Detection Model for Autonomous Vehicle

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Semantic Segmentation In Lane Detection1

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Cited by 3 publications

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“…Since pixel-level segmentation is a tedious task and poses a burden on computation, an alternate scheme wherein grid-level semantic segmentation GNET [30] is proposed. Another grid-based segmentation is proposed by [31] for free space and lane-based detection.…”

Section: Semantic Segmentation In Lane Detectionmentioning

confidence: 99%

Semantic Segmentation for Various Applications: Research Contribution and Comprehensive Review

Mazhar,

Fakhar,

Rehman

2023

Interact 2023

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This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).

“…Since pixel-level segmentation is a tedious task and poses a burden on computation, an alternate scheme wherein grid-level semantic segmentation GNET [30] is proposed. Another grid-based segmentation is proposed by [31] for free space and lane-based detection.…”

Section: Semantic Segmentation In Lane Detectionmentioning

confidence: 99%

Semantic Segmentation for Various Applications: Research Contribution and Comprehensive Review

Mazhar,

Fakhar,

Rehman

2023

Interact 2023

View full text Add to dashboard Cite

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).

LID-Net: A lightweight image dehazing network for automatic driving vision systems

Tao,

Chen,

Fu

et al. 2024

Digital Signal Processing

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No abstract

Enhanced Cross Layer Refinement Network for robust lane detection across diverse lighting and road conditions

Dai,

Li,

Xu

et al. 2025

Engineering Applications of Artificial Intelligence

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No abstract

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