Long term vehicle motion prediction and tracking in large environments. - Mao Shan; Stewart Worrall 002; Eduardo Mario Nebot (ITSC, 2011)

Probabilistic Long-Term Vehicle Motion Prediction and Tracking in Large Environments. - Mao Shan; Stewart Worrall 002; Eduardo Mario Nebot (IEEE Trans. Intell. Transp. Syst., 2013)

Nonparametric cooperative tracking in mobile Ad-Hoc networks. - Mao Shan; Stewart Worrall 002; Eduardo Mario Nebot (ICRA, 2014)

Using Delayed Observations for Long-Term Vehicle Tracking in Large Environments. - Mao Shan; Stewart Worrall 002; Favio R. Masson; Eduardo Mario Nebot (IEEE Trans. Intell. Transp. Syst., 2014)

Delayed-State Nonparametric Filtering in Cooperative Tracking. - Mao Shan; Stewart Worrall 002; Eduardo Mario Nebot (IEEE Trans. Robotics, 2015)

Visual tracking via random partition image hashing. - Mingyang Guan; Changyun Wen; Kwang-Yong Lim; Mao Shan; Paul Tan; Cheng-Leong Ng; Ying Zou 002 (ICARCV, 2016)

Probabilistic trajectory estimation based leader following for multi-robot systems. - Mao Shan; Ying Zou 002; Mingyang Guan; Changyun Wen; Kwang-Yong Lim; Cheng-Leong Ng; Paul Tan (ICARCV, 2016)

Image-based visual tracking adaptive control for mobile robots. - Ying Zou 002; Changyun Wen; Mao Shan; Mingyang Guan (ICARCV, 2016)

A leader-following approach based on probabilistic trajectory estimation and virtual train model. - Mao Shan; Ying Zou 002; Mingyang Guan; Changyun Wen; Cheng-Leong Ng (ITSC, 2017)

Pedestrian Dynamic and Kinematic Information Obtained from Vision Sensors. - Santiago Gerling Konrad; Mao Shan; Favio R. Masson; Stewart Worrall 002; Eduardo M. Nebot (Intelligent Vehicles Symposium, 2018)

A Comparative Analysis on Rigid and Flexible Formations of Multiple Differential-Drive Mobile Robots: A Motion Capability Perspective. - Yuanzhe Wang; Mao Shan; Danwei Wang (ECC, 2019)

Uncertainty Estimation for Projecting Lidar Points onto Camera Images for Moving Platforms. - Charika De Alvis; Mao Shan; Stewart Worrall 002; Eduardo M. Nebot (ICRA, 2019)

Extended Vehicle Tracking with Probabilistic Spatial Relation Projection and Consideration of Shape Feature Uncertainties. - Mao Shan; Charika De Alvis; Stewart Worrall 002; Eduardo M. Nebot (IV, 2019)

A Bayesian Filtering Approach for Error Mitigation in Ultra-Wideband Ranging. - Jing Xin; Kaiyuan Gao; Mao Shan; Bo Yan; Ding Liu (Sensors, 2019)

A Practical Leader-Follower Tracking Control Scheme for Multiple Nonholonomic Mobile Robots in Unknown Obstacle Environments. - Yuanzhe Wang; Danwei Wang; Shuai Yang 002; Mao Shan (IEEE Trans. Control. Syst. Technol., 2019)

Real-Time Event-Triggered Object Tracking in the Presence of Model Drift and Occlusion. - Mingyang Guan; Changyun Wen; Mao Shan; Cheng-Leong Ng; Ying Zou 002 (IEEE Trans. Ind. Electron., 2019)

Socially Aware Crowd Navigation with Multimodal Pedestrian Trajectory Prediction for Autonomous Vehicles. - Kunming Li; Mao Shan; Karan Narula; Stewart Worrall 002; Eduardo M. Nebot (ITSC, 2020)

Probabilistic Egocentric Motion Correction of Lidar Point Cloud and Projection to Camera Images for Moving Platforms. - Mao Shan; Julie Stephany Berrio; Stewart Worrall 002; Eduardo M. Nebot (ITSC, 2020)

Filtering for systems subject to unknown inputs without a priori initial information. - He Kong; Mao Shan; Daobilige Su; Yongliang Qiao; Abdullah Al-Azzawi; Salah Sukkarieh (Autom., 2020)

Semantic sensor fusion: from camera to sparse lidar information. - Julie Stephany Berrio; Mao Shan; Stewart Worrall 002; James R. Ward; Eduardo M. Nebot (CoRR, 2020)

Demonstrations of Cooperative Perception: Safety and Robustness in Connected and Automated Vehicle Operations. - Mao Shan; Karan Narula; Ricky Wong; Stewart Worrall 002; Malik Khan; Paul Alexander; Eduardo M. Nebot (CoRR, 2020)

Developing and Testing Robust Autonomy: The University of Sydney Campus Data Set. - Wei Zhou 025; Julie Stephany Berrio; Charika De Alvis; Mao Shan; Stewart Worrall 002; James R. Ward; Eduardo M. Nebot (IEEE Intell. Transp. Syst. Mag., 2020)

An adaptive control strategy for indoor leader-following of wheeled mobile robot. - Ying Zou 002; Changyun Wen; Mao Shan; Mingyang Guan (J. Frankl. Inst., 2020)

Probabilistic Crowd GAN: Multimodal Pedestrian Trajectory Prediction Using a Graph Vehicle-Pedestrian Attention Network. - Stuart Eiffert; Kunming Li; Mao Shan; Stewart Worrall 002; Salah Sukkarieh; Eduardo M. Nebot (IEEE Robotics Autom. Lett., 2020)

Motion Capability Analysis for Multiple Fixed-Wing UAV Formations With Speed and Heading Rate Constraints. - Yuanzhe Wang; Mao Shan; Danwei Wang (IEEE Trans. Control. Netw. Syst., 2020)

Vision-Based Flexible Leader-Follower Formation Tracking of Multiple Nonholonomic Mobile Robots in Unknown Obstacle Environments. - Yuanzhe Wang; Mao Shan; Yufeng Yue; Danwei Wang (IEEE Trans. Control. Syst. Technol., 2020)

Attentional-GCNN: Adaptive Pedestrian Trajectory Prediction towards Generic Autonomous Vehicle Use Cases. - Kunming Li; Stuart Eiffert; Mao Shan; Francisco Gomez-Donoso; Stewart Worrall 002; Eduardo M. Nebot (ICRA, 2021)

Optimising the selection of samples for robust lidar camera calibration. - Darren Tsai; Stewart Worrall 002; Mao Shan; Anton Lohr; Eduardo M. Nebot (ITSC, 2021)

Kalman filtering under unknown inputs and norm constraints. - He Kong; Mao Shan; Salah Sukkarieh; Tianshi Chen 001; Wei Xing Zheng 001 (Autom., 2021)

What is the appropriate speed for an autonomous vehicle? Designing a Pedestrian Aware Contextual Speed Controller. - Daniel Jiang; Stewart Worrall 002; Mao Shan (CoRR, 2021)

Demonstrations of Cooperative Perception: Safety and Robustness in Connected and Automated Vehicle Operations. - Mao Shan; Karan Narula; Yung Fei Wong; Stewart Worrall 002; Malik Khan; Paul Alexander; Eduardo M. Nebot (Sensors, 2021)

Autonomous Target Docking of Nonholonomic Mobile Robots Using Relative Pose Measurements. - Yuanzhe Wang; Mao Shan; Yufeng Yue; Danwei Wang (IEEE Trans. Ind. Electron., 2021)

The Design of a Pedestrian Aware Contextual Speed Controller for Autonomous Driving. - Daniel Jiang; Stewart Worrall 002; Mao Shan (ITSC, 2022)

Crowd Prediction and Autonomous Navigation with Partial Observations. - Kunming Li; Mao Shan; Stewart Worrall 002; Eduardo M. Nebot (ITSC, 2022)

A Novel Probabilistic V2X Data Fusion Framework for Cooperative Perception. - Mao Shan; Karan Narula; Stewart Worrall 002; Yung Fei Wong; Julie Stephany Berrio Perez; Paul Gray; Eduardo M. Nebot (ITSC, 2022)

Towards Collision-Free Probabilistic Pedestrian Motion Prediction for Autonomous Vehicles. - Kunming Li; Mao Shan; Stuart Eiffert; Stewart Worrall 002; Eduardo M. Nebot (IV, 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 002; Eduardo M. Nebot (IEEE Robotics Autom. Lett., 2022)

Multimobile Robot Cooperative Localization Using Ultrawideband Sensor and GPU Acceleration. - Jing Xin; Guo Xie; Bo Yan; Mao Shan; Peng Li 007; Kaiyuan Gao (IEEE Trans Autom. Sci. Eng., 2022)

Camera-LIDAR Integration: Probabilistic Sensor Fusion for Semantic Mapping. - Julie Stephany Berrio; Mao Shan; Stewart Worrall 002; Eduardo M. Nebot (IEEE Trans. Intell. Transp. Syst., 2022)

Long-Term Map Maintenance Pipeline for Autonomous Vehicles. - Julie Stephany Berrio; Stewart Worrall 002; Mao Shan; Eduardo M. Nebot (IEEE Trans. Intell. Transp. Syst., 2022)

The USyd Campus Dataset. - Wei Zhou 025; Julie Stephany Berrio Perez; Charika De Alvis; Mao Shan; Stewart Worrall 002; James Robert Ward; Eduardo M. Nebot (IEEE DataPort, 2022)

Viewer-Centred Surface Completion for Unsupervised Domain Adaptation in 3D Object Detection. - Darren Tsai; Julie Stephany Berrio; Mao Shan; Eduardo M. Nebot; Stewart Worrall 002 (ICRA, 2023)

Game Theory-Based Simultaneous Prediction and Planning for Autonomous Vehicle Navigation in Crowded Environments. - Kunming Li; Yijun Chen 002; Mao Shan; Jiachen Li; Stewart Worrall 002; Eduardo M. Nebot (ITSC, 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 002 (ITSC, 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 002 (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 002 (CoRR, 2023)

Classification of Safety Driver Attention During Autonomous Vehicle Operation. - Santiago Gerling Konrad; Julie Stephany Berrio; Mao Shan; Favio R. Masson; Stewart Worrall 002 (CoRR, 2023)

InverseMatrixVT3D: An Efficient Projection Matrix-Based Approach for 3D Occupancy Prediction. - Zhenxing Ming; Julie Stephany Berrio; Mao Shan; Stewart Worrall 002 (IROS, 2024)

Label-Efficient 3D Object Detection For Road-Side Units. - Minh-Quan Dao; Holger Caesar; Julie Stephany Berrio; Mao Shan; Stewart Worrall 002; Vincent Frémont; Ezio Malis (IV, 2024)

Safety Driver Attention on Autonomous Vehicle Operation Based on Head Pose and Vehicle Perception. - Santiago Gerling Konrad; Julie Stephany Berrio; Mao Shan; Favio R. Masson; Eduardo M. Nebot; Stewart Worrall 002 (IV, 2024)

OccFusion: A Straightforward and Effective Multi-Sensor Fusion Framework for 3D Occupancy Prediction. - Zhenxing Ming; Julie Stephany Berrio; Mao Shan; Stewart Worrall 002 (CoRR, 2024)

Performance Assessment of Lidar Odometry Frameworks: A Case Study at the Australian Botanic Garden Mount Annan. - Mohamed Mourad Ouazghire; Julie Stephany Berrio; Mao Shan; Stewart Worrall 002 (CoRR, 2024)

Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides. - Kunming Li; Mao Shan; Julie Stephany Berrio Perez; Katie Luo; Stewart Worrall 002 (CoRR, 2024)

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 002 (IEEE Trans. Intell. Transp. Syst., 2024)

Semantic-Driven Autonomous Visual Navigation for Unmanned Aerial Vehicles. - Pengyu Yue; Jing Xin; Youmin Zhang 001; Yongchang Lu; Mao Shan (IEEE Trans. Ind. Electron., 2024)

Online High-Definition Map Construction for Autonomous Vehicles: A Comprehensive Survey. - Hongyu Lyu; Julie Stephany Berrio Perez; Yaoqi Huang; Kunming Li; Mao Shan; Stewart Worrall 002 (J. Sens. Actuator Networks, 2025)

Mixed Signals: A Diverse Point Cloud Dataset for Heterogeneous LiDAR V2X Collaboration. - Katie Z. Luo; Minh-Quan Dao; Zhenzhen Liu; Mark E. Campbell; Wei-Lun Chao; Kilian Q. Weinberger; Ezio Malis; Vincent Frémont; Bharath Hariharan; Mao Shan; Stewart Worrall 002; Julie Stephany Berrio Perez (CoRR, 2025)

Panoptic-CUDAL Technical Report: Rural Australia Point Cloud Dataset in Rainy Conditions. - Tzu-Yun Tseng; Alexey Nekrasov 001; Malcolm Burdorf; Bastian Leibe; Julie Stephany Berrio; Mao Shan; Stewart Worrall 002 (CoRR, 2025)

MS3D++: Ensemble of Experts for Multi-Source Unsupervised Domain Adaptation in 3D Object Detection. - Darren Tsai; Julie Stephany Berrio; Mao Shan; Eduardo M. Nebot; Stewart Worrall 002 (IEEE Trans. Intell. Veh., 2025)

Inverse++: Vision-Centric 3D Semantic Occupancy Prediction Assisted with 3D Object Detection. - Zhenxing Ming; Julie Stephany Berrio; Mao Shan; Stewart Worrall 002 (CoRR, 2025)

SydneyScapes: Image Segmentation for Australian Environments. - Hongyu Lyu; Julie Stephany Berrio; Mao Shan; Stewart Worrall 002 (CoRR, 2025)

M2S-RoAD: Multi-Modal Semantic Segmentation for Road Damage Using Camera and LiDAR Data. - Tzu-Yun Tseng; Hongyu Lyu; Josephine Li; Julie Stephany Berrio; Mao Shan; Stewart Worrall 002 (CoRR, 2025)

InterLoc: LiDAR-based Intersection Localization using Road Segmentation with Automated Evaluation Method. - Nguyen Hoang Khoi Tran; Julie Stephany Berrio; Mao Shan; Zhenxing Ming; Stewart Worrall 002 (CoRR, 2025)

OccCylindrical: Multi-Modal Fusion with Cylindrical Representation for 3D Semantic Occupancy Prediction. - Zhenxing Ming; Julie Stephany Berrio; Mao Shan; Yaoqi Huang; Hongyu Lyu; Nguyen Hoang Khoi Tran; Tzu-Yun Tseng; Stewart Worrall 002 (CoRR, 2025)

What Demands Attention in Urban Street Scenes? From Scene Understanding towards Road Safety: A Survey of Vision-driven Datasets and Studies. - Yaoqi Huang; Julie Stephany Berrio; Mao Shan; Stewart Worrall 002 (CoRR, 2025)

Towards Adaptive External Communication in Autonomous Vehicles: A Conceptual Design Framework. - Tram Thi Minh Tran; Judy Kay; Stewart Worrall 002; Marius Hoggenmueller; Callum Parker; Xinyan Yu 005; Julie Stephany Berrio Perez; Mao Shan; Martin Tomitsch (CoRR, 2025)