Federico Nesti

Achieving up to 20x faster anomaly segmentation for autonomous vehicles could revolutionize onboard safety systems.

Bridging the sim-to-real gap in railway perception, a new augmented reality framework generates realistic training data by seamlessly integrating virtual objects into real-world railway scenes, outperforming traditional methods.