Final project for the UPC Postgrau in Artificial Intelligence & Deep Learning, showcasing a SELF-DRIVING demo built around lane detection and object detection models. Integrates LaneNet (with ENet backbone and BDD100K transforms), a custom Mask R-CNN segmentation pipeline, and Faster R-CNN with ResNet50-FPN.
deep-learning faster-rcnn object-detection transfer-learning autonomous-driving lane-detection semantic-segmentation evaluation-metrics mask-rcnn lanenet bdd100k gpu-training self-driving-simulation
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Updated
Mar 22, 2026 - Python