Navigation provided by FengMap
Application, Xi'an Jiaotong-Liverpool University, Suzhou, China
Simulated navigation app provided by the FengMap.
Application, Xi'an Jiaotong-Liverpool University, Suzhou, China
Simulated navigation app provided by the FengMap.
Research project, Xi'an Jiaotong-Liverpool University, Suzhou, China
Research project, Xi'an Jiaotong-Liverpool University, Suzhou, China
Multi-agent collaborative navigation is prevalent in modern transportation systems, including delivery logistics, warehouse automation, and personalised tourism, where multiple agents must converge at a common destination from different starting points. However, the challenges lie in optimising routes for multiple agents while dynamically adjusting the common destination in response to changing traffic conditions. Therefore, we would like to propose a generic Multi-Agent Collaborative Navigation System (MACNS) to address the challenges.
Research project, Xi'an Jiaotong-Liverpool University, Suzhou, China
The existing practice of creating structure plans in urban design seems to be arbitrary, and few practitioners consider employing algorithms(DL) to meet functional demands and minimize budgets.
Application, Xi'an Jiaotong-Liverpool University, Suzhou, China
An Android application (App) is designed, which is mainly used for sharing real-time positions with others. In addition, some interesting functions are also provided.
Research project, Xi'an Jiaotong-Liverpool University, Suzhou, China
Research project, Xi'an Jiaotong-Liverpool University, Suzhou, China
Research project, Xi'an Jiaotong-Liverpool University, Suzhou, China
In this project, we focus on designing an energy-efficient task scheduling strategy based on the Deep Reinforcement Learning (DRL) algorithm, with the target of reducing task completion time and energy consumption in vehicular edge computing scenarios.
Research project, Shanghai Maritime University, Shanghai, China
Through multiple iterations of the GA, the optimal number of hidden layers and the number of neurons in each layer are generated.