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January 1, 2026International Journal of Signal and Imaging Systems EngineeringOpen Access

Real-Time Traffic Scene Segmentation with SegFormer-B0

Rishit Varma Manthena G Suganeshwari

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Key Points

This research aims to enhance traffic scene segmentation using the SegFormer-B0 model in real-time scenarios.
Implemented SegFormer-B0 for traffic scene segmentation.
Conducted experiments to evaluate performance in various traffic conditions.
Utilized metrics for comparison against existing segmentation techniques.
Achieved a segmentation accuracy of 92% in real-time scenarios.
Demonstrated a 15% improvement in processing speed over traditional models.
Showed robustness in different lighting and weather conditions.

Implication

Demonstrates enhanced traffic scene segmentation using SegFormer-B0, suggesting improved real-time performance.

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Cite This Study

Manthena et al. (2026) studied this question.

synapsesocial.com/papers/6a3a225d111626ef22ab70ac https://doi.org/10.1504/ijsise.2026.10079237

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