Make Remote Operations
a Reliable Safety Layer
UdriveTech focuses on remote takeover, video links, dispatch coordination, and safety loops for autonomous fleets and unmanned operations.
Platform
A Multi-Level Remote Driving Framework for Autonomous Vehicles
Remote Operations / Teleoperation
Integrated Virtual-Physical Platform for Multi-scale Safety Testing and Security Validation of Autonomous Vehicles
Autonomous Driving / Security
Real-time Map Construction and Utilization: An End-to-End Framework for Autonomous Driving
Autonomous Driving / Mapping
Scenario-driven Motion Planning Model Selection in Autonomous Driving Systems
Autonomous Driving / Motion Planning
Modelling and Handling Uncertainties in Autonomous Driving Systems
Autonomous Driving / Safety
Integrated Virtual-Physical Platform for Multi-scale Safety Testing and Security Validation of Autonomous Vehicles
Autonomous Driving / Security
A Multi-Level Remote Driving Framework for Autonomous Vehicles
Remote Operations / Teleoperation
Integrated Virtual-Physical Platform for Multi-scale Safety Testing and Security Validation of Autonomous Vehicles
Autonomous Driving / Security
Real-time Map Construction and Utilization: An End-to-End Framework for Autonomous Driving
Autonomous Driving / Mapping
Scenario-driven Motion Planning Model Selection in Autonomous Driving Systems
Autonomous Driving / Motion Planning
Modelling and Handling Uncertainties in Autonomous Driving Systems
Autonomous Driving / Safety
Integrated Virtual-Physical Platform for Multi-scale Safety Testing and Security Validation of Autonomous Vehicles
Autonomous Driving / Security
Research
Networking & Distributed Systems
Communication, distributed computing, and resilient systems that support remote operations and dispatch workflows.
Research →Remote Operations & Autonomous Driving
Research across remote driving, motion planning, autonomy, and safety validation.
Research →Edge Computing & Digital Twin
Edge intelligence and digital twin systems for real-time analytics, coordination, and closed-loop operations.
Research →
Dean of College of Computing / Chair Professor, Department of Computer Science
City University of Hong Kong (CityU)
Prof. Jianping Wang is a Chair Professor of Computer Science and the Dean of College of Computing at City University of Hong Kong. Her research has been sponsored by various funding agencies and industry companies. She is a Fellow of IEEE and a Fellow of AAIA, and is among the top 2% in the Stanford list of the world's most-cited scientists (2020–2024).
Her research interests include autonomous driving, edge computing, cloud computing, and optical networking.