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2020 – today
- 2025
[i24]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, Julie Stephany Berrio Perez:
Mixed Signals: A Diverse Point Cloud Dataset for Heterogeneous LiDAR V2X Collaboration. CoRR abs/2502.14156 (2025)- 2024
- [j21]Pengyu Yue
, Jing Xin, Youmin Zhang, Yongchang Lu, Mao Shan:
Semantic-Driven Autonomous Visual Navigation for Unmanned Aerial Vehicles. IEEE Trans. Ind. Electron. 71(11): 14853-14863 (2024) - [j20]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. IEEE Trans. Intell. Transp. Syst. 25(9): 12163-12175 (2024) - [c25]Zhenxing Ming, Julie Stephany Berrio, Mao Shan, Stewart Worrall:
InverseMatrixVT3D: An Efficient Projection Matrix-Based Approach for 3D Occupancy Prediction. IROS 2024: 9565-9572 - [c24]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: 1572-1579 - [c23]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: 1878-1885 - [c22]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: 3146 - [i23]Zhenxing Ming, Julie Stephany Berrio, Mao Shan, Stewart Worrall:
InverseMatrixVT3D: An Efficient Projection Matrix-Based Approach for 3D Occupancy Prediction. CoRR abs/2401.12422 (2024) - [i22]Zhenxing Ming, Julie Stephany Berrio, Mao Shan, Stewart Worrall:
OccFusion: A Straightforward and Effective Multi-Sensor Fusion Framework for 3D Occupancy Prediction. CoRR abs/2403.01644 (2024) - [i21]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 abs/2404.06256 (2024) - [i20]Mohamed Mourad Ouazghire, Julie Stephany Berrio, Mao Shan, Stewart Worrall:
Performance Assessment of Lidar Odometry Frameworks: A Case Study at the Australian Botanic Garden Mount Annan. CoRR abs/2411.16931 (2024) - [i19]Kunming Li, Mao Shan, Julie Stephany Berrio Perez, Katie Luo, Stewart Worrall:
Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides. CoRR abs/2412.12222 (2024) - 2023
- [c21]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: 9346-9353 - [c20]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: 140-147 - [c19]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: 2977-2984 - [i18]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 abs/2304.02431 (2023) - [i17]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 abs/2307.01462 (2023) - [i16]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 abs/2307.07196 (2023) - [i15]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 abs/2308.05988 (2023) - [i14]Santiago Gerling Konrad, Julie Stephany Berrio, Mao Shan, Favio R. Masson, Stewart Worrall:
Classification of Safety Driver Attention During Autonomous Vehicle Operation. CoRR abs/2310.11608 (2023) - 2022
- [j19]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): 7904-7911 (2022) - [j18]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): 2699-2710 (2022) - [j17]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): 7637-7652 (2022) - [j16]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): 10427-10440 (2022) - [c18]Kunming Li, Mao Shan, Stewart Worrall, Eduardo M. Nebot:
Crowd Prediction and Autonomous Navigation with Partial Observations. ITSC 2022: 1829-1836 - [c17]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: 2013-2020 - [c16]Daniel Jiang, Stewart Worrall, Mao Shan:
The Design of a Pedestrian Aware Contextual Speed Controller for Autonomous Driving. ITSC 2022: 3899-3906 - [c15]Kunming Li, Mao Shan, Stuart Eiffert, Stewart Worrall, Eduardo M. Nebot:
Towards Collision-Free Probabilistic Pedestrian Motion Prediction for Autonomous Vehicles. IV 2022: 1114-1120 - [d1]Wei Zhou, Julie Stephany Berrio Perez, Charika De Alvis, Mao Shan, Stewart Worrall, James Robert Ward, Eduardo M. Nebot:
The USyd Campus Dataset. IEEE DataPort, 2022
- [i13]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 abs/2203.16964 (2022) - [i12]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 abs/2209.06407 (2022) - 2021
- [j15]He Kong, Mao Shan, Salah Sukkarieh, Tianshi Chen, Wei Xing Zheng:
Kalman filtering under unknown inputs and norm constraints. Autom. 133: 109871 (2021) - [j14]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): 200 (2021) - [j13]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): 7233-7243 (2021) - [c14]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: 14241-14247 - [c13]Darren Tsai, Stewart Worrall, Mao Shan, Anton Lohr, Eduardo M. Nebot:
Optimising the selection of samples for robust lidar camera calibration. ITSC 2021: 2631-2638 - [i11]Darren Tsai, Stewart Worrall, Mao Shan, Anton Lohr, Eduardo M. Nebot:
Optimising the selection of samples for robust lidar camera calibration. CoRR abs/2103.12287 (2021) - [i10]Daniel Jiang, Stewart Worrall, Mao Shan:
What is the appropriate speed for an autonomous vehicle? Designing a Pedestrian Aware Contextual Speed Controller. CoRR abs/2104.06147 (2021) - [i9]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 abs/2111.09450 (2021) - 2020
- [j12]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: 109122 (2020) - [j11]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): 23-40 (2020) - [j10]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): 2131-2148 (2020) - [j9]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): 5026-5033 (2020) - [j8]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): 977-989 (2020) - [j7]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): 1025-1033 (2020) - [c12]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: 1-8 - [c11]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: 1-8 - [i8]Julie Stephany Berrio, Mao Shan, Stewart Worrall, James R. Ward, Eduardo M. Nebot:
Semantic sensor fusion: from camera to sparse lidar information. CoRR abs/2003.01871 (2020) - [i7]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 abs/2003.03954 (2020) - [i6]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 abs/2006.12906 (2020) - [i5]Julie Stephany Berrio, Mao Shan, Stewart Worrall, Eduardo M. Nebot:
Camera-Lidar Integration: Probabilistic sensor fusion for semantic mapping. CoRR abs/2007.05490 (2020) - [i4]Julie Stephany Berrio, Stewart Worrall, Mao Shan, Eduardo M. Nebot:
Long-term map maintenance pipeline for autonomous vehicles. CoRR abs/2008.12449 (2020) - [i3]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 abs/2011.08581 (2020) - [i2]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 abs/2011.11190 (2020) - [i1]Kunming Li, Mao Shan, Karan Narula, Stewart Worrall, Eduardo M. Nebot:
Socially Aware Crowd Navigation with Multimodal Pedestrian Trajectory Prediction for Autonomous Vehicles. CoRR abs/2011.11191 (2020)
2010 – 2019
- 2019
- [j6]Jing Xin, Kaiyuan Gao, Mao Shan, Bo Yan, Ding Liu:
A Bayesian Filtering Approach for Error Mitigation in Ultra-Wideband Ranging. Sensors 19(3): 440 (2019) - [j5]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): 1685-1693 (2019) - [j4]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): 2054-2065 (2019) - [c10]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: 2077-2082 - [c9]Charika De Alvis, Mao Shan, Stewart Worrall, Eduardo M. Nebot:
Uncertainty Estimation for Projecting Lidar Points onto Camera Images for Moving Platforms. ICRA 2019: 6637-6643 - [c8]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: 1477-1483 - 2018
- [c7]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: 1299-1305 - 2017
- [c6]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: 1-6 - 2016
- [c5]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: 1-6 - [c4]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: 1-6 - [c3]Ying Zou, Changyun Wen, Mao Shan, Mingyang Guan:
Image-based visual tracking adaptive control for mobile robots. ICARCV 2016: 1-6 - 2015
- [j3]Mao Shan, Stewart Worrall, Eduardo Mario Nebot:
Delayed-State Nonparametric Filtering in Cooperative Tracking. IEEE Trans. Robotics 31(4): 962-977 (2015) - 2014
- [j2]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): 967-981 (2014) - [c2]Mao Shan, Stewart Worrall, Eduardo Mario Nebot:
Nonparametric cooperative tracking in mobile Ad-Hoc networks. ICRA 2014: 423-430 - 2013
- [j1]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): 539-552 (2013) - 2011
- [c1]Mao Shan, Stewart Worrall, Eduardo Mario Nebot:
Long term vehicle motion prediction and tracking in large environments. ITSC 2011: 1978-1983
Coauthor Index
Julie Stephany Berrio
aka: Julie Stephany Berrio Perez
aka: Julie Stephany Berrio Perez
Eduardo M. Nebot
aka: Eduardo Mario Nebot
aka: Eduardo Mario Nebot
[i24] [j20] [c25] [c24] [c23] [c22] [i23] [i22] [i21] [i20] [i19] [c21] [c20] [c19] [i18] [i17] [i16] [i15] [i14] [j19] [j17] [j16] [c18] [c17] [c16] [c15] [d1] [i13] [i12] [j14] [c14] [c13] [i11] [i10] [i9] [j11] [j9] [c12] [c11] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1] [c9] [c8] [c7] [j3] [j2] [c2] [j1] [c1]
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last updated on 2025-03-21 01:18 CET by the dblp team
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