2 citations · 6 across the 7 of their papers we have counts for
8 papers
The UnScripted Trip: Fostering Policy Discussion on Future Human-Vehicle Collaboration in Autonomous Driving Through Design-Oriented Methods
Xinyan Yu, Julie Stephany Berrio Perez, Marius Hoggenmüller +4
The rapid advancement of autonomous vehicle (AV) technologies is fundamentally reshaping paradigms of human-vehicle collaboration, raising not only an urgent need for innovative de…
Multi-Modal Camera-Based Detection of Vulnerable Road Users
Penelope Brown, Julie Stephany Berrio Perez, Mao Shan +1
Vulnerable road users (VRUs) such as pedestrians, cyclists, and motorcyclists represent more than half of global traffic deaths, yet their detection remains challenging in poor lig…
Towards Adaptive External Communication in Autonomous Vehicles: A Conceptual Design Framework
Tram Thi Minh Tran, Judy Kay, Stewart Worrall +6
External Human-Machine Interfaces (eHMIs) are key to facilitating interaction between autonomous vehicles and external road actors, yet most remain reactive and do not account for…
Understanding Pedestrian Gesture Misrecognition: Insights from Vision-Language Model Reasoning
Tram Thi Minh Tran, Xinyan Yu, Callum Parker +3
Pedestrian gestures play an important role in traffic communication, particularly in interactions with autonomous vehicles (AVs), yet their subtle, ambiguous, and context-dependent…
Animal Interaction with Autonomous Mobility Systems: Designing for Multi-Species Coexistence
Tram Thi Minh Tran, Xinyan Yu, Marius Hoggenmueller +5
Autonomous mobility systems increasingly operate in environments shared with animals, from urban pets to wildlife. However, their design has largely focused on human interaction, w…
Spotting the Unexpected (STU): A 3D LiDAR Dataset for Anomaly Segmentation in Autonomous Driving
Alexey Nekrasov, Malcolm Burdorf, Stewart Worrall +2
To operate safely, autonomous vehicles (AVs) need to detect and handle unexpected objects or anomalies on the road. While significant research exists for anomaly detection and segm…
Mixed Signals: A Diverse Point Cloud Dataset for Heterogeneous LiDAR V2X Collaboration
Katie Z Luo, Minh-Quan Dao, Zhenzhen Liu +9
Vehicle-to-everything (V2X) collaborative perception has emerged as a promising solution to address the limitations of single-vehicle perception systems. However, existing V2X data…
Robots in the Wild: Contextually-Adaptive Human-Robot Interactions in Urban Public Environments
Xinyan Yu, Yiyuan Wang, Tram Thi Minh Tran +9
The increasing transition of human-robot interaction (HRI) context from controlled settings to dynamic, real-world public environments calls for enhanced adaptability in robotic sy…