A framework for enhancing noisy ground truths in network-like infrastructure by leveraging domain-specific graph constraints and optimization properties to improve overall segmentation results.
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Mar 25, 2026 - Python
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roadsegmentation
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AI-powered road resilience system that detects and reconstructs occluded roads from satellite imagery using deep learning, enabling accurate mapping for disaster response, infrastructure planning, and smart mobility.
python opencv satellite urban-planning pytorch artificial-intelligence satellite-imagery semantic-segmentation deeplabv3 road-extraction roadsegmentation disaster-simulation
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Jun 29, 2026 - Python
A deep learning-based road segmentation model for autonomous vehicles, MESNet integrates ResNet-50, VGG-16, and PSPNet to achieve high accuracy and precision in diverse environments. Trained on the KITTI dataset, it handles real-time road segmentation tasks with robust performance metrics.
autonomous-car segmentation autonomous-driving autonomous-vehicles segmentation-model segmentation-models roadsegmentation mesnet
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Sep 9, 2024 - Jupyter Notebook
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