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Wei Zhao
Researcher at University of Wisconsin-Madison
Publications - 17
Citations - 308
Wei Zhao is an academic researcher from University of Wisconsin-Madison. The author has contributed to research in topics: Edge computing & Analytics. The author has an hindex of 8, co-authored 17 publications receiving 209 citations. Previous affiliations of Wei Zhao include Inner Mongolia University of Science and Technology & Dalian Maritime University.
Papers
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Proceedings ArticleDOI
Augmenting Self-Driving with Remote Control: Challenges and Directions
TL;DR: This paper argues that a viable third alternative exists -- on failure of the self-driving function in the vehicle, the system could return control to a remote human driver located in response centers distributed across the world.
Journal ArticleDOI
Ground-Level Mapping and Navigating for Agriculture Based on IoT and Computer Vision
TL;DR: The evaluation indicates that this Mesh-SLAM algorithm outperforms in mapping and localization precision, accuracy, and yield prediction error (resolution at centimeter); and the scalability and flexibility of the IoT architecture make the system modularized, easy adding/removing new functional modules or IoT sensors.
Journal ArticleDOI
Sensor-based risk perception ability network design for drivers in snow and ice environmental freeway: a deep learning and rough sets approach
TL;DR: The results indicate that the DBN-FS not only outperforms both Naïve Bayes and BP-ANN, but also improves the accuracy of perceiving risky conditions, which can provide reference for the design of hazard detection systems of partially automated vehicles.
Journal ArticleDOI
Improving transfer feasibility for older travelers inside high-speed train station
TL;DR: This paper is the first to study the transfer feasibility for elderly passengers passing through specific barriers at high-speed train stations for seniors both qualitatively and quantitatively, especially dealing with the complicated transfer procedure.
Journal ArticleDOI
Real-Time Vehicle Motion Detection and Motion Altering for Connected Vehicle: Algorithm Design and Practical Applications
TL;DR: A novel vehicle motion detection system (VMDS) that detects lane-change, turning, acceleration, and deceleration using mobile sensors, that is, global positioning system (GPS) and inertial ones in real-time in order to alert adjacent drivers of potential crash risks.