Overview
Background
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.
Availability
- Dr Stephany Berrio Perez is:
- Available for supervision
Fields of research
Research impacts
Stephany's research moves autonomous vehicle technology out of the lab and onto real roads — shaping government policy, supporting industry, and making driving safer. Stephanycontributed to the Connected and Automated Vehicle (CAV) trials led by the Australian Centre for Robotics and supported by Transport for NSW (running since 2020). These on-road trials in complex urban settings generated evidence used to inform future government policy on how automated vehicles can be safely integrated into the road network.
Open resources for a global research community. She co-created several publicly available datasets and benchmarks that lower the barrier for safety research worldwide, including:
- STU (Spotting the Unexpected) — the first public 3D LiDAR dataset for road anomaly segmentation (CVPR 2025), helping researchers test how vehicles detect unexpected hazards
- Mixed Signals — a diverse point cloud dataset for vehicle-to-infrastructure (V2X) collaboration (ICCV 2025), developed with international partners including Cornell University
- Panoptic-CUDAL — a rural Australian dataset captured in rainy conditions (ITSC 2025), addressing the under-studied challenge of driving beyond cities.
Together, these activities support safer roads, stronger local capability in a globally competitive industry, and evidence-based regulation of a technology that will reshape everyday transport.
Works
Search Professor Stephany Berrio Perez’s works on UQ eSpace
2024
Conference Publication
CyberPotholes: Pothole defect detection using synthetic depth-maps
Kiran, K. C., Worrall, Stewart, Berrio, Julie Stephany and Balamurali, Mehala (2024). CyberPotholes: Pothole defect detection using synthetic depth-maps. 27th Intelligent Transportation Systems Conference, Edmonton Canada, Sep 24-27, 2024. NEW YORK: IEEE. doi: 10.1109/ITSC58415.2024.10920234
2024
Conference Publication
InverseMatrixVT3D: An Efficient Projection Matrix-Based Approach for 3D Occupancy Prediction
Ming, Zhenxing, Berrio, Julie Stephany, Shan, Mao and Worrall, Stewart (2024). InverseMatrixVT3D: An Efficient Projection Matrix-Based Approach for 3D Occupancy Prediction. 2024 International Conference on Intelligent Robots and Systems, Abu Dhabi U Arab Emirates, Oct 14-18, 2024. NEW YORK: IEEE. doi: 10.1109/IROS58592.2024.10802434
2024
Conference Publication
Safety Driver Attention on Autonomous Vehicle Operation Based on Head Pose and Vehicle Perception
Konrad, Santiago Gerling, Berrio, Julie Stephany, Shan, Mao, Masson, Favio, Nebot, Eduardo and Worrall, Stewart (2024). Safety Driver Attention on Autonomous Vehicle Operation Based on Head Pose and Vehicle Perception. IEEE Intelligent Vehicles Symposium (IV), Jeju South Korea, Jun 02-05, 2024. NEW YORK: IEEE. doi: 10.1109/IV55156.2024.10588436
2024
Conference Publication
Label-Efficient 3D Object Detection For Road-Side Units
Dao, Minh-Quan, Caesar, Holger, Berrio, Julie Stephany, Shan, Mao, Worrall, Stewart, Fremont, Vincent and Malis, Ezio (2024). Label-Efficient 3D Object Detection For Road-Side Units. IEEE Intelligent Vehicles Symposium (IV), Jeju South Korea, Jun 02-05, 2024. NEW YORK: IEEE. doi: 10.1109/IV55156.2024.10588666
2024
Conference Publication
Practical Collaborative Perception: A Framework for Asynchronous and Multi-Agent 3D Object Detection
Do, Minh-Qu, Berrio, Julie Stephany, Fremont, Vincent, Shan, Mao, Hery, Elwan and Worrall, Stewart (2024). Practical Collaborative Perception: A Framework for Asynchronous and Multi-Agent 3D Object Detection. IEEE Intelligent Vehicles Symposium (IV), Jeju South Korea, Jun 02-05, 2024. NEW YORK: IEEE. doi: 10.1109/IV55156.2024.10588658
2023
Journal Article
Becoming a Plenary or Keynote Speaker in an International Robotics Conference Perspectives From an IEEE RAS Women in Engineering Panel
Perez, Julie Stephany Berrio, Psomopoulou, Efi, Ben Amor, Heni and Leidner, Daniel (2023). Becoming a Plenary or Keynote Speaker in an International Robotics Conference Perspectives From an IEEE RAS Women in Engineering Panel. Ieee Robotics & Automation Magazine, 30 (2), 113-115. doi: 10.1109/MRA.2023.3266933
2023
Conference Publication
Viewer-Centred Surface Completion for Unsupervised Domain Adaptation in 3D Object Detection
Tsai, Darren, Berrio, Julie Stephany, Shan, Mao, Nebot, Eduardo and Worrall, Stewart (2023). Viewer-Centred Surface Completion for Unsupervised Domain Adaptation in 3D Object Detection. IEEE International Conference on Robotics and Automation (ICRA), London England, May 29-Jun 02, 2023. NEW YORK: IEEE. doi: 10.1109/ICRA48891.2023.10160707
2023
Conference Publication
MS3D: Leveraging Multiple Detectors for Unsupervised Domain Adaptation in 3D Object Detection
Tsai, Darren, Berrio, Julie Stephany, Shan, Mao, Nebot, Eduardo and Worrall, Stewart (2023). MS3D: Leveraging Multiple Detectors for Unsupervised Domain Adaptation in 3D Object Detection. IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), Bilbao Spain, Sep 24-28, 2023. NEW YORK: IEEE. doi: 10.1109/ITSC57777.2023.10421941
2023
Conference Publication
Robots in the Wild: Contextually-Adaptive Human-Robot Interactions in Urban Public Environments
Yu, Xinyan, Wang, Yiyuan, Tram Thi Minh Tran, , Zhao, Yi, Perez, Julie Stephany Berrio, Hoggenmuller, Marius, Humphry, Justine, Loke, Lian, Masuda, Lynn, Paker, Callum, Tomitsch, Martin and Worrall, Stewart (2023). Robots in the Wild: Contextually-Adaptive Human-Robot Interactions in Urban Public Environments. 35th Australasian Conference on Human-Computer Interaction-OzCHI, Wellington New Zealand, Dec 02-04, 2023. NEW YORK: ASSOC COMPUTING MACHINERY. doi: 10.1145/3638380.3638440
2022
Journal Article
See Eye to Eye: A Lidar-Agnostic 3D Detection Framework for Unsupervised Multi-Target Domain Adaptation
Tsai, Darren, Berrio, Julie Stephany, Shan, Mao, Worrall, Stewart and Nebot, Eduardo (2022). See Eye to Eye: A Lidar-Agnostic 3D Detection Framework for Unsupervised Multi-Target Domain Adaptation. Ieee Robotics and Automation Letters, 7 (3), 7904-7911. doi: 10.1109/LRA.2022.3185783
2022
Conference Publication
A Novel Probabilistic V2X Data Fusion Framework for Cooperative Perception
Shan, Mao, Narula, Karan, Worrall, Stewart, Wong, Yung Fei, Perez, Julie Stephany Berrio, Gray, Paul and Nebot, Eduardo (2022). A Novel Probabilistic V2X Data Fusion Framework for Cooperative Perception. IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), Macau Peoples R China, Oct 08-12, 2022. NEW YORK: IEEE. doi: 10.1109/ITSC55140.2022.9922251
2022
Conference Publication
Parameterisation of lane-change scenarios from real-world data
Karunakaran, Dhanoop, Berrio, Julie Stephany, Worrall, Stewart and Nebot, Eduardo (2022). Parameterisation of lane-change scenarios from real-world data. IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), Macau Peoples R China, Oct 08-12, 2022. NEW YORK: IEEE. doi: 10.1109/ITSC55140.2022.9921981
2021
Journal Article
Long-Term Map Maintenance Pipeline for Autonomous Vehicles
Berrio, Julie Stephany, Worrall, Stewart, Shan, Mao and Nebot, Eduardo (2021). Long-Term Map Maintenance Pipeline for Autonomous Vehicles. Ieee Transactions On Intelligent Transportation Systems, 23 (8), 10427-10440. doi: 10.1109/TITS.2021.3094485
2021
Journal Article
Camera-LIDAR Integration: Probabilistic Sensor Fusion for Semantic Mapping
Berrio, Julie Stephany, Shan, Mao, Worrall, Stewart and Nebot, Eduardo (2021). Camera-LIDAR Integration: Probabilistic Sensor Fusion for Semantic Mapping. Ieee Transactions On Intelligent Transportation Systems, 23 (7), 7637-7652. doi: 10.1109/TITS.2021.3071647
2020
Journal Article
Developing and Testing Robust Autonomy: The University of Sydney Campus Data Set
Zhou, Wei, Berrio, Julie Stephany, De Alvis, Charika, Shan, Mao, Worrall, Stewart, Ward, James and Nebot, Eduardo (2020). Developing and Testing Robust Autonomy: The University of Sydney Campus Data Set. Ieee Intelligent Transportation Systems Magazine, 12 (4), 23-40. doi: 10.1109/MITS.2020.2990183
2020
Journal Article
Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving
Zhou, Wei, Berrio, Julie Stephany, Worrall, Stewart and Nebot, Eduardo (2020). Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving. Ieee Transactions On Intelligent Transportation Systems, 21 (5), 1951-1963. doi: 10.1109/TITS.2019.2909066
2020
Conference Publication
Probabilistic Egocentric Motion Correction of Lidar Point Cloud and Projection to Camera Images for Moving Platforms
Shan, Mao, Berrio, Julie Stephany, Worrall, Stewart and Nebot, Eduardo (2020). Probabilistic Egocentric Motion Correction of Lidar Point Cloud and Projection to Camera Images for Moving Platforms. 23rd IEEE International Conference on Intelligent Transportation Systems (ITSC), Electr Network, Sep 20-23, 2020. NEW YORK: IEEE. doi: 10.1109/itsc45102.2020.9294601
2019
Conference Publication
Automatic extrinsic calibration between a camera and a 3D Lidar using 3D point and plane correspondences
Verma, Surabhi, Berrio, Julie Stephany, Worrall, Stewart and Nebot, Eduardo (2019). Automatic extrinsic calibration between a camera and a 3D Lidar using 3D point and plane correspondences. IEEE Intelligent Transportation Systems Conference (IEEE-ITSC), Auckland New Zealand, Oct 27-30, 2019. NEW YORK: IEEE. doi: 10.1109/itsc.2019.8917108
2019
Conference Publication
Updating the visibility of a feature-based map for long-term maintenance
Berrio, Julie Stephany, Ward, James, Worrall, Stewart and Nebot, Eduardo (2019). Updating the visibility of a feature-based map for long-term maintenance. 30th IEEE Intelligent Vehicles Symposium (IV), Paris France, Jun 09-12, 2019. NEW YORK: IEEE. doi: 10.1109/ivs.2019.8814189
2019
Conference Publication
Identifying robust landmarks in feature-based maps
Berrio, Julie Stephany, Ward, James, Worrall, Stewart and Nebot, Eduardo (2019). Identifying robust landmarks in feature-based maps. 30th IEEE Intelligent Vehicles Symposium (IV), Paris France, Jun 09-12, 2019. NEW YORK: IEEE.
Supervision
Availability
- Dr Stephany Berrio Perez is:
- Available for supervision
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