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Xiaobo Qu
Researcher at Chalmers University of Technology
Publications - 332
Citations - 9336
Xiaobo Qu is an academic researcher from Chalmers University of Technology. The author has contributed to research in topics: Computer science & Compressed sensing. The author has an hindex of 42, co-authored 273 publications receiving 6262 citations. Previous affiliations of Xiaobo Qu include Shantou University & National University of Singapore.
Papers
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Multi-Contrast Brain MRI Image Super-Resolution With Gradient-Guided Edge Enhancement
TL;DR: The aim of this paper is to improve edges of brain MRI by incorporating the gradient information of another contrast high-resolution image by establishing a relation model of gradient value between different contrast images to restore a high- resolution image from its input low-resolution version.
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Emergency facility location problems in logistics: Status and perspectives
TL;DR: A comprehensive overview of the problem of how to determine the optimal number and location of emergency facilities and their best locations is provided, including mathematical models and their extensions and applications.
Journal ArticleDOI
Optimizing electric bus charging infrastructure considering power matching and seasonality
Xiaohan Liu,Xiaobo Qu,Xiaolei Ma +2 more
TL;DR: In this paper, a novel optimization model for electric bus charging station location, charger configuration, charging time and vehicle flow is developed considering power matching and seasonality, and the results reveal significant performance differences regarding vehicle scheduling and charging among different bus fleets in the BEB-based transit system.
Journal ArticleDOI
How Does the Driver’s Perception Reaction Time Affect the Performances of Crash Surrogate Measures?
TL;DR: This result suggests that the surrogate indicators’ performances in representing rear-end crash risks are improved with the incorporating of the PRT for the investigated section.
Posted Content
The Cooperative Sorting Strategy for Connected and Automated Vehicle Platoons
TL;DR: In this paper, a distributed stochastic Astar algorithm (DSA) is developed by introducing random disturbances to the edge costs to break uniform paths (with equal path cost).