Centre for Artificial Intelligence and Robotics

A robust CurvLaneNet-YOLO framework for real-time lane curvature estimation and vehicle detection in intelligent transportation applications

Abstract Current road safety systems face challenges in detecting curved roads and vehicles under varying lighting and weather conditions, leading to lane departure and collision risks. To address this, we propose CurvLaneNet-YOLO, a deep learning framework based on YOLOv8 that s...

A partially supervised joint segmentation method for farmland and rural roads from single-class annotated remote sensing datasets

Accurate segmentation of co-existing land-cover objects in high-resolution remote sensing imagery is essential for precision agriculture and rural planning. Although multi-class datasets are increasingly available, many high-quality annotations remain task-specific, where only a...