Mao Shan

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 60

Top Topics

Autonomous Vehicles

Object Detection

Top Venues

Publications

Zhenxing Ming, Julie Stephany Berrio, Mao Shan, Stewart Worrall
InverseMatrixVT3D: An Efficient Projection Matrix-Based Approach for 3D Occupancy Prediction. CoRR (2024)
Santiago Gerling Konrad, Julie Stephany Berrio, Mao Shan, Favio R. Masson, Eduardo M. Nebot, Stewart Worrall
Safety Driver Attention on Autonomous Vehicle Operation Based on Head Pose and Vehicle Perception. IV (2024)
Minh-Quan Dao, Julie Stephany Berrio, Vincent Frémont, Mao Shan, Elwan Héry, Stewart Worrall
Practical Collaborative Perception: A Framework for Asynchronous and Multi-Agent 3D Object Detection. IV (2024)
Zhenxing Ming, Julie Stephany Berrio, Mao Shan, Stewart Worrall
OccFusion: A Straightforward and Effective Multi-Sensor Fusion Framework for 3D Occupancy Prediction. CoRR (2024)
Minh-Quan Dao, Holger Caesar, Julie Stephany Berrio, Mao Shan, Stewart Worrall, Vincent Frémont, Ezio Malis
Label-Efficient 3D Object Detection For Road-Side Units. CoRR (2024)
Minh-Quan Dao, Holger Caesar, Julie Stephany Berrio, Mao Shan, Stewart Worrall, Vincent Frémont, Ezio Malis
Label-Efficient 3D Object Detection For Road-Side Units. IV (2024)
Darren Tsai, Julie Stephany Berrio, Mao Shan, Eduardo M. Nebot, Stewart Worrall
Viewer-Centred Surface Completion for Unsupervised Domain Adaptation in 3D Object Detection. ICRA (2023)
Minh-Quan Dao, Julie Stephany Berrio, Vincent Frémont, Mao Shan, Elwan Héry, Stewart Worrall
Practical Collaborative Perception: A Framework for Asynchronous and Multi-Agent 3D Object Detection. CoRR (2023)
Kunming Li, Yijun Chen, Mao Shan, Jiachen Li, Stewart Worrall, Eduardo M. Nebot
Game Theory-Based Simultaneous Prediction and Planning for Autonomous Vehicle Navigation in Crowded Environments. ITSC (2023)
Darren Tsai, Julie Stephany Berrio, Mao Shan, Eduardo M. Nebot, Stewart Worrall
MS3D: Leveraging Multiple Detectors for Unsupervised Domain Adaptation in 3D Object Detection. CoRR (2023)
Darren Tsai, Julie Stephany Berrio, Mao Shan, Eduardo M. Nebot, Stewart Worrall
MS3D: Leveraging Multiple Detectors for Unsupervised Domain Adaptation in 3D Object Detection. ITSC (2023)
Santiago Gerling Konrad, Julie Stephany Berrio, Mao Shan, Favio R. Masson, Stewart Worrall
Classification of Safety Driver Attention During Autonomous Vehicle Operation. CoRR (2023)
Darren Tsai, Julie Stephany Berrio, Mao Shan, Eduardo M. Nebot, Stewart Worrall
MS3D++: Ensemble of Experts for Multi-Source Unsupervised Domain Adaption in 3D Object Detection. CoRR (2023)
Zhenxing Ming, Julie Stephany Berrio, Mao Shan, Eduardo M. Nebot, Stewart Worrall
LightFormer: An End-to-End Model for Intersection Right-of-Way Recognition Using Traffic Light Signals and an Attention Mechanism. CoRR (2023)
Mao Shan, Karan Narula, Stewart Worrall, Yung Fei Wong, Julie Stephany Berrio Perez, Paul Gray, Eduardo M. Nebot
A Novel Probabilistic V2X Data Fusion Framework for Cooperative Perception. ITSC (2022)
Kunming Li, Mao Shan, Stuart Eiffert, Stewart Worrall, Eduardo M. Nebot
Towards Collision-Free Probabilistic Pedestrian Motion Prediction for Autonomous Vehicles. IV (2022)
Julie Stephany Berrio, Stewart Worrall, Mao Shan, Eduardo M. Nebot
Long-Term Map Maintenance Pipeline for Autonomous Vehicles. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
Daniel Jiang, Stewart Worrall, Mao Shan
The Design of a Pedestrian Aware Contextual Speed Controller for Autonomous Driving. ITSC (2022)
Darren Tsai, Julie Stephany Berrio, Mao Shan, Eduardo M. Nebot, Stewart Worrall
Viewer-Centred Surface Completion for Unsupervised Domain Adaptation in 3D Object Detection. CoRR (2022)
Kunming Li, Mao Shan, Stewart Worrall, Eduardo M. Nebot
Crowd Prediction and Autonomous Navigation with Partial Observations. ITSC (2022)
Darren Tsai, Julie Stephany Berrio, Mao Shan, Stewart Worrall, Eduardo M. Nebot
See Eye to Eye: A Lidar-Agnostic 3D Detection Framework for Unsupervised Multi-Target Domain Adaptation. IEEE Robotics Autom. Lett. 7 (3) (2022)
Mao Shan, Karan Narula, Stewart Worrall, Yung Fei Wong, Julie Stephany Berrio Perez, Paul Gray, Eduardo M. Nebot
A Novel Probabilistic V2X Data Fusion Framework for Cooperative Perception. CoRR (2022)
Julie Stephany Berrio, Mao Shan, Stewart Worrall, Eduardo M. Nebot
Camera-LIDAR Integration: Probabilistic Sensor Fusion for Semantic Mapping. IEEE Trans. Intell. Transp. Syst. 23 (7) (2022)
Jing Xin, Guo Xie, Bo Yan, Mao Shan, Peng Li, Kaiyuan Gao
Multimobile Robot Cooperative Localization Using Ultrawideband Sensor and GPU Acceleration. IEEE Trans Autom. Sci. Eng. 19 (4) (2022)
Darren Tsai, Stewart Worrall, Mao Shan, Anton Lohr, Eduardo M. Nebot
Optimising the selection of samples for robust lidar camera calibration. ITSC (2021)
Mao Shan, Karan Narula, Yung Fei Wong, Stewart Worrall, Malik Khan, Paul Alexander, Eduardo M. Nebot
Demonstrations of Cooperative Perception: Safety and Robustness in Connected and Automated Vehicle Operations. Sensors 21 (1) (2021)
He Kong, Mao Shan, Salah Sukkarieh, Tianshi Chen, Wei Xing Zheng
Kalman filtering under unknown inputs and norm constraints. Autom. 133 (2021)
Darren Tsai, Julie Stephany Berrio, Mao Shan, Stewart Worrall, Eduardo M. Nebot
See Eye to Eye: A Lidar-Agnostic 3D Detection Framework for Unsupervised Multi-Target Domain Adaptation. CoRR (2021)
Daniel Jiang, Stewart Worrall, Mao Shan
What is the appropriate speed for an autonomous vehicle? Designing a Pedestrian Aware Contextual Speed Controller. CoRR (2021)
Kunming Li, Stuart Eiffert, Mao Shan, Francisco Gomez-Donoso, Stewart Worrall, Eduardo M. Nebot
Attentional-GCNN: Adaptive Pedestrian Trajectory Prediction towards Generic Autonomous Vehicle Use Cases. ICRA (2021)
Darren Tsai, Stewart Worrall, Mao Shan, Anton Lohr, Eduardo M. Nebot
Optimising the selection of samples for robust lidar camera calibration. CoRR (2021)
Yuanzhe Wang, Mao Shan, Yufeng Yue, Danwei Wang
Autonomous Target Docking of Nonholonomic Mobile Robots Using Relative Pose Measurements. IEEE Trans. Ind. Electron. 68 (8) (2021)
Mao Shan, Karan Narula, Ricky Wong, Stewart Worrall, Malik Khan, Paul Alexander, Eduardo M. Nebot
Demonstrations of Cooperative Perception: Safety and Robustness in Connected and Automated Vehicle Operations. CoRR (2020)
Julie Stephany Berrio, Stewart Worrall, Mao Shan, Eduardo M. Nebot
Long-term map maintenance pipeline for autonomous vehicles. CoRR (2020)
Yuanzhe Wang, Mao Shan, Yufeng Yue, Danwei Wang
Vision-Based Flexible Leader-Follower Formation Tracking of Multiple Nonholonomic Mobile Robots in Unknown Obstacle Environments. IEEE Trans. Control. Syst. Technol. 28 (3) (2020)
Mao Shan, Julie Stephany Berrio, Stewart Worrall, Eduardo M. Nebot
Probabilistic Egocentric Motion Correction of Lidar Point Cloud and Projection to Camera Images for Moving Platforms. CoRR (2020)
Kunming Li, Stuart Eiffert, Mao Shan, Francisco Gomez-Donoso, Stewart Worrall, Eduardo M. Nebot
Attentional-GCNN: Adaptive Pedestrian Trajectory Prediction towards Generic Autonomous Vehicle Use Cases. CoRR (2020)
Kunming Li, Mao Shan, Karan Narula, Stewart Worrall, Eduardo M. Nebot
Socially Aware Crowd Navigation with Multimodal Pedestrian Trajectory Prediction for Autonomous Vehicles. ITSC (2020)
Kunming Li, Mao Shan, Karan Narula, Stewart Worrall, Eduardo M. Nebot
Socially Aware Crowd Navigation with Multimodal Pedestrian Trajectory Prediction for Autonomous Vehicles. CoRR (2020)
Stuart Eiffert, Kunming Li, Mao Shan, Stewart Worrall, Salah Sukkarieh, Eduardo M. Nebot
Probabilistic Crowd GAN: Multimodal Pedestrian Trajectory Prediction using a Graph Vehicle-Pedestrian Attention Network. CoRR (2020)
Ying Zou, Changyun Wen, Mao Shan, Mingyang Guan
An adaptive control strategy for indoor leader-following of wheeled mobile robot. J. Frankl. Inst. 357 (4) (2020)
He Kong, Mao Shan, Daobilige Su, Yongliang Qiao, Abdullah Al-Azzawi, Salah Sukkarieh
Filtering for systems subject to unknown inputs without a priori initial information. Autom. 120 (2020)
Mao Shan, Julie Stephany Berrio, Stewart Worrall, Eduardo M. Nebot
Probabilistic Egocentric Motion Correction of Lidar Point Cloud and Projection to Camera Images for Moving Platforms. ITSC (2020)
Julie Stephany Berrio, Mao Shan, Stewart Worrall, Eduardo M. Nebot
Camera-Lidar Integration: Probabilistic sensor fusion for semantic mapping. CoRR (2020)
Stuart Eiffert, Kunming Li, Mao Shan, Stewart Worrall, Salah Sukkarieh, Eduardo M. Nebot
Probabilistic Crowd GAN: Multimodal Pedestrian Trajectory Prediction Using a Graph Vehicle-Pedestrian Attention Network. IEEE Robotics Autom. Lett. 5 (4) (2020)
Yuanzhe Wang, Mao Shan, Danwei Wang
Motion Capability Analysis for Multiple Fixed-Wing UAV Formations With Speed and Heading Rate Constraints. IEEE Trans. Control. Netw. Syst. 7 (2) (2020)
Julie Stephany Berrio, Mao Shan, Stewart Worrall, James R. Ward, Eduardo M. Nebot
Semantic sensor fusion: from camera to sparse lidar information. CoRR (2020)
Wei Zhou, Julie Stephany Berrio, Charika De Alvis, Mao Shan, Stewart Worrall, James R. Ward, Eduardo M. Nebot
Developing and Testing Robust Autonomy: The University of Sydney Campus Data Set. IEEE Intell. Transp. Syst. Mag. 12 (4) (2020)
Yuanzhe Wang, Danwei Wang, Shuai Yang, Mao Shan
A Practical Leader-Follower Tracking Control Scheme for Multiple Nonholonomic Mobile Robots in Unknown Obstacle Environments. IEEE Trans. Control. Syst. Technol. 27 (4) (2019)
Yuanzhe Wang, Mao Shan, Danwei Wang
A Comparative Analysis on Rigid and Flexible Formations of Multiple Differential-Drive Mobile Robots: A Motion Capability Perspective. ECC (2019)
Charika De Alvis, Mao Shan, Stewart Worrall, Eduardo M. Nebot
Uncertainty Estimation for Projecting Lidar Points onto Camera Images for Moving Platforms. ICRA (2019)
Mao Shan, Charika De Alvis, Stewart Worrall, Eduardo M. Nebot
Extended Vehicle Tracking with Probabilistic Spatial Relation Projection and Consideration of Shape Feature Uncertainties. IV (2019)
Jing Xin, Kaiyuan Gao, Mao Shan, Bo Yan, Ding Liu
A Bayesian Filtering Approach for Error Mitigation in Ultra-Wideband Ranging. Sensors 19 (3) (2019)
Mingyang Guan, Changyun Wen, Mao Shan, Cheng-Leong Ng, Ying Zou
Real-Time Event-Triggered Object Tracking in the Presence of Model Drift and Occlusion. IEEE Trans. Ind. Electron. 66 (3) (2019)
Santiago Gerling Konrad, Mao Shan, Favio R. Masson, Stewart Worrall, Eduardo M. Nebot
Pedestrian Dynamic and Kinematic Information Obtained from Vision Sensors. Intelligent Vehicles Symposium (2018)
Mao Shan, Ying Zou, Mingyang Guan, Changyun Wen, Cheng-Leong Ng
A leader-following approach based on probabilistic trajectory estimation and virtual train model. ITSC (2017)
Ying Zou, Changyun Wen, Mao Shan, Mingyang Guan
Image-based visual tracking adaptive control for mobile robots. ICARCV (2016)
Mingyang Guan, Changyun Wen, Kwang-Yong Lim, Mao Shan, Paul Tan, Cheng-Leong Ng, Ying Zou
Visual tracking via random partition image hashing. ICARCV (2016)
Mao Shan, Ying Zou, Mingyang Guan, Changyun Wen, Kwang-Yong Lim, Cheng-Leong Ng, Paul Tan
Probabilistic trajectory estimation based leader following for multi-robot systems. ICARCV (2016)
Mao Shan, Stewart Worrall, Eduardo Mario Nebot
Delayed-State Nonparametric Filtering in Cooperative Tracking. IEEE Trans. Robotics 31 (4) (2015)
Mao Shan, Stewart Worrall, Eduardo Mario Nebot
Nonparametric cooperative tracking in mobile Ad-Hoc networks. ICRA (2014)
Mao Shan, Stewart Worrall, Favio R. Masson, Eduardo Mario Nebot
Using Delayed Observations for Long-Term Vehicle Tracking in Large Environments. IEEE Trans. Intell. Transp. Syst. 15 (3) (2014)
Mao Shan, Stewart Worrall, Eduardo Mario Nebot
Probabilistic Long-Term Vehicle Motion Prediction and Tracking in Large Environments. IEEE Trans. Intell. Transp. Syst. 14 (2) (2013)
Mao Shan, Stewart Worrall, Eduardo Mario Nebot
Long term vehicle motion prediction and tracking in large environments. ITSC (2011)