A modular system fuses object detection, segmentation, and LiDAR-improved depth estimation to achieve 0.63 m MAE for obstacle distances on synthetic railway data.
Sensor fusion method for object detection and distance estimation in assisted driving applications,
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Integrating Object Detection, LiDAR-Enhanced Depth Estimation, and Segmentation Models for Railway Environments
A modular system fuses object detection, segmentation, and LiDAR-improved depth estimation to achieve 0.63 m MAE for obstacle distances on synthetic railway data.