187 citations · 1.3k across the 43 of their papers we have counts for
6 papers · 1 filter
Computer Vision for Road Imaging and Pothole Detection: A State-of-the-Art Review of Systems and Algorithms
Nachuan Ma, Jiahe Fan, Wenshuo Wang +4
Computer vision algorithms have been prevalently utilized for 3-D road imaging and pothole detection for over two decades. Nonetheless, there is a lack of systematic survey article…
A New Multi-vehicle Trajectory Generator to Simulate Vehicle-to-Vehicle Encounters
Wenhao Ding, Wenshuo Wang, Ding Zhao
Generating multi-vehicle trajectories from existing limited data can provide rich resources for autonomous vehicle development and testing. This paper introduces a multi-vehicle tr…
A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives
Jiacheng Zhu, Wenshuo Wang, Ding Zhao
A multitude of publicly-available driving datasets and data platforms have been raised for autonomous vehicles (AV). However, the heterogeneities of databases in size, structure an…
Extracting Traffic Primitives Directly from Naturalistically Logged Data for Self-Driving Applications
Wenshuo Wang, Ding Zhao
Developing an automated vehicle, that can handle complicated driving scenarios and appropriately interact with other road users, requires the ability to semantically learn and unde…
Driving Style Analysis Using Primitive Driving Patterns With Bayesian Nonparametric Approaches
Wenshuo Wang, Junqiang Xi, Ding Zhao
Analysis and recognition of driving styles are profoundly important to intelligent transportation and vehicle calibration. This paper presents a novel driving style analysis framew…
Feature Analysis and Selection for Training an End-to-End Autonomous Vehicle Controller Using the Deep Learning Approach
Shun Yang, Wenshuo Wang, Chang Liu +2
Deep learning-based approaches have been widely used for training controllers for autonomous vehicles due to their powerful ability to approximate nonlinear functions or policies.…