Stephany Berrio Perez

Stephany Berrio is a robotics researcher specialising in perception, mapping, and safety for autonomous vehicles, working at the intersection of machine learning and real-world deployment. Her research helps self-driving systems understand complex, changing urban environments and operate safely alongside people. Her current focus areas include: Multimodal perception and sensor fusion — developing algorithms that fuse camera, LiDAR, and radar data for robust scene understanding, semantic occupancy prediction, HD mapping, domain adaptation, and anomaly detection in intelligent transportation systems. Long-term mapping and localisation — enabling vehicles to maintain accurate position estimates as cities change over time. Open datasets and benchmarks — building publicly available multimodal datasets for anomaly segmentation, V2X collaboration, and driving in challenging conditions such as rain and rural roads. Stephany completed her PhD at the University of Sydney's Australian Centre for Field Robotics on scene understanding and map maintenance for autonomous vehicles. Multimodal perception and sensor fusion — developing algorithms that fuse camera, LiDAR, and radar data for robust scene understanding, semantic occupancy prediction, HD mapping, domain adaptation, and anomaly detection in intelligent transportation systems. Long-term mapping and localisation — enabling vehicles to maintain accurate position estimates as cities change over time. Open datasets and benchmarks — building publicly available multimodal datasets for anomaly segmentation, V2X collaboration, and driving in challenging conditions such as rain and rural roads.

[2026] What demands attention in urban street scenes? From scene understanding towards road safety: A survey of vision-driven datasets and studies. Huang, Yaoqi, Berrio, Julie Stephany, Shan, Mao and Worrall, Stewart (2026). Engineering Applications of Artificial Intelligence, 181 115230, 115230-115230. doi: 10.1016/j.engappai.2026.115230 [2026] The Era of End-to-End Autonomy: Transitioning from Rule-Based Driving to Large Driving Models. Nebot, Em. Eduardo and Berrio Perez, Julie Stephany (2026). Electronics, 15 (14) 3160, 3160-3160. doi: 10.3390/electronics15143160 [2026] Blinking Beyond EAR: A Stable Eyelid Angle Metric for Driver Drowsiness Detection and Data Augmentation. Wolter, Mathis, Perez, Julie Stephany Berrio and Shan, Mao (2026). IEEE. doi: 10.1109/iv66570.2026.11623903 [2026]