Tensorflow implementation of "Semantic Instance Segmentation with a Discriminative Loss Function"
This repository provides instructions on how to create a lane detection dataset in tusimple format
Robust Lane Detection in hazy/foggy environment using Encoder Decoder CNN & LSTM and Dark Channel Prior to tackle with hazy environemnt
VisionDriveX is a multi-task autonomous driving perception system that performs traffic sign classification, stop-sign detection, and lane segmentation. Built with PyTorch and explainable AI (Grad-CAM), it delivers real-time, interpretable road understanding for safety-critical ADAS applications.
Lane line detection combining a bird's-eye-view edge proposal network with Swin Transformer on TuSimple highway images. Includes sequential and parallel architectural variants with detailed ablation studies.
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