Julie Stephany Berrio

According to our database, Julie Stephany Berrio authored at least 26 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Generating Edge Cases for Testing Autonomous Vehicles Using Real-World Data.

Dhanoop Karunakaran, Julie Stephany Berrio Perez, Stewart Worrall

Sensors, 2024

OccFusion: A Straightforward and Effective Multi-Sensor Fusion Framework for 3D Occupancy Prediction.

Zhenxing Ming, Julie Stephany Berrio, Mao Shan, Stewart Worrall

CoRR, 2024

InverseMatrixVT3D: An Efficient Projection Matrix-Based Approach for 3D Occupancy Prediction.

Zhenxing Ming, Julie Stephany Berrio, Mao Shan, Stewart Worrall

CoRR, 2024

2023

Becoming a Plenary or Keynote Speaker in an International Robotics Conference: Perspectives From an IEEE RAS Women in Engineering Panel [Women in Engineering].

Julie Stephany Berrio Perez, Efi Psomopoulou, Heni Ben Amor, Daniel Leidner

IEEE Robotics Autom. Mag., June, 2023

Classification of Safety Driver Attention During Autonomous Vehicle Operation.

Santiago Gerling Konrad, Julie Stephany Berrio, Mao Shan, Favio R. Masson, Stewart Worrall

CoRR, 2023

MS3D++: Ensemble of Experts for Multi-Source Unsupervised Domain Adaption in 3D Object Detection.

Darren Tsai, Julie Stephany Berrio, Mao Shan, Eduardo M. Nebot, Stewart Worrall

CoRR, 2023

LightFormer: An End-to-End Model for Intersection Right-of-Way Recognition Using Traffic Light Signals and an Attention Mechanism.

Zhenxing Ming, Julie Stephany Berrio, Mao Shan, Eduardo M. Nebot, Stewart Worrall

CoRR, 2023

Practical Collaborative Perception: A Framework for Asynchronous and Multi-Agent 3D Object Detection.

Minh-Quan Dao, Julie Stephany Berrio, Vincent Frémont, Mao Shan, Elwan Héry, Stewart Worrall

CoRR, 2023

MS3D: Leveraging Multiple Detectors for Unsupervised Domain Adaptation in 3D Object Detection.

Darren Tsai, Julie Stephany Berrio, Mao Shan, Eduardo M. Nebot, Stewart Worrall

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Viewer-Centred Surface Completion for Unsupervised Domain Adaptation in 3D Object Detection.

Darren Tsai, Julie Stephany Berrio, Mao Shan, Eduardo M. Nebot, Stewart Worrall

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

The USyd Campus Dataset.

Wei Zhou, Julie Stephany Berrio Perez, Charika De Alvis, Mao Shan, Stewart Worrall, James Robert Ward, Eduardo M. Nebot

Dataset, May, 2022

Long-Term Map Maintenance Pipeline for Autonomous Vehicles.

Julie Stephany Berrio, Stewart Worrall, Mao Shan, Eduardo M. Nebot

IEEE Trans. Intell. Transp. Syst., 2022

Camera-LIDAR Integration: Probabilistic Sensor Fusion for Semantic Mapping.

Julie Stephany Berrio, Mao Shan, Stewart Worrall, Eduardo M. Nebot

IEEE Trans. Intell. Transp. Syst., 2022

See Eye to Eye: A Lidar-Agnostic 3D Detection Framework for Unsupervised Multi-Target Domain Adaptation.

Darren Tsai, Julie Stephany Berrio, Mao Shan, Stewart Worrall, Eduardo M. Nebot

IEEE Robotics Autom. Lett., 2022

Critical concrete scenario generation using scenario-based falsification.

Dhanoop Karunakaran, Julie Stephany Berrio, Stewart Worrall, Eduardo M. Nebot

CoRR, 2022

Automatic lane change scenario extraction and generation of scenarios in OpenX format from real-world data.

Dhanoop Karunakaran, Julie Stephany Berrio, Stewart Worrall, Eduardo M. Nebot

CoRR, 2022

A Novel Probabilistic V2X Data Fusion Framework for Cooperative Perception.

Mao Shan, Karan Narula, Stewart Worrall, Yung Fei Wong, Julie Stephany Berrio Perez, Paul Gray, Eduardo M. Nebot

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Parameterisation of lane-change scenarios from real-world data.

Dhanoop Karunakaran, Julie Stephany Berrio, Stewart Worrall, Eduardo M. Nebot

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2020

Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving.

Wei Zhou, Julie Stephany Berrio, Stewart Worrall, Eduardo M. Nebot

IEEE Trans. Intell. Transp. Syst., 2020

Developing and Testing Robust Autonomy: The University of Sydney Campus Data Set.

Wei Zhou, Julie Stephany Berrio, Charika De Alvis, Mao Shan, Stewart Worrall, James R. Ward, Eduardo M. Nebot

IEEE Intell. Transp. Syst. Mag., 2020

Semantic sensor fusion: from camera to sparse lidar information.

Julie Stephany Berrio, Mao Shan, Stewart Worrall, James R. Ward, Eduardo M. Nebot

CoRR, 2020

Probabilistic Egocentric Motion Correction of Lidar Point Cloud and Projection to Camera Images for Moving Platforms.

Mao Shan, Julie Stephany Berrio, Stewart Worrall, Eduardo M. Nebot

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019

Updating the visibility of a feature-based map for long-term maintenance.

Julie Stephany Berrio, James R. Ward, Stewart Worrall, Eduardo M. Nebot

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Identifying robust landmarks in feature-based maps.

Julie Stephany Berrio, James R. Ward, Stewart Worrall, Eduardo M. Nebot

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Automatic extrinsic calibration between a camera and a 3D Lidar using 3D point and plane correspondences.

Surabhi Verma, Julie Stephany Berrio, Stewart Worrall, Eduardo M. Nebot

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018

Octree map based on sparse point cloud and heuristic probability distribution for labeled images.

Julie Stephany Berrio, Wei Zhou, James R. Ward, Stewart Worrall, Eduardo M. Nebot

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018