activity
20202024
most citedProbabilistic Crowd GAN: Multimodal Pedestrian Trajectory Prediction using a Graph Vehicle-Pedestrian Attention Network

99 citations · 132 across the 10 of their papers we have counts for

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Showing cs.ROShow all

5 papers · 1 filter

cs.RO2024★ 1 cited

Performance Assessment of Lidar Odometry Frameworks: A Case Study at the Australian Botanic Garden Mount Annan

Mohamed Mourad Ouazghire, Julie Stephany Berrio, Mao Shan +1

Autonomous vehicles are being tested in diverse environments worldwide. However, a notable gap exists in evaluating datasets representing natural, unstructured environments such as…

cs.RO2021★ 1 cited

What is the appropriate speed for an autonomous vehicle? Designing a Pedestrian Aware Contextual Speed Controller

Daniel Jiang, Stewart Worrall, Mao Shan

Social acceptance is a major hurdle for autonomous vehicle technology, central to which is ensuring both passengers and nearby pedestrians feel safe. This idea of `feeling safe' an…

cs.RO2020★ 3 cited

Demonstrations of Cooperative Perception: Safety and Robustness in Connected and Automated Vehicle Operations

Mao Shan, Karan Narula, Yung Fei Wong +4

Cooperative perception, or collective perception (CP) is an emerging and promising technology for intelligent transportation systems (ITS). It enables an ITS station (ITS-S) to sha…

cs.RO2020

Long-term map maintenance pipeline for autonomous vehicles

Julie Stephany Berrio, Stewart Worrall, Mao Shan +1

For autonomous vehicles to operate persistently in a typical urban environment, it is essential to have high accuracy position information. This requires a mapping and localisation…

cs.RO2020

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

Mao Shan, Julie Stephany Berrio, Stewart Worrall +1

The fusion of sensor data from heterogeneous sensors is crucial for robust perception in various robotics applications that involve moving platforms, for instance, autonomous vehic…