We introduce a novel representation called Ordered Atomic Activity for interactive scenario
understanding. The representation decomposes each scenario into a set of ordered atomic …

Neural networks are currently suggested to be implemented in several different driving
functions of autonomous vehicles. While showing promising results the drawback lies in the …

Currently, with the rapid growth of training datasets for autonomous driving systems, we are
faced with a challenge: how to efficiently retrieve specific traffic scenes from massive amount …

Browsing specific traffic scene in large-scale dataset is an increasing demand from
researchers, self-driving community and insurance companies. It is easy to search scenes …

In this paper, we present a method to extract the training and testing data from geographic
information system (GIS) and global position system (GPS) for neural networks. Traffic signs …

Machine learning components are becoming popular for the automotive industry. More and
more data sets become available for training machine learning components. All of them …

Driving behavior analysis has become crucial for traffic safety. In addition, more abundant
driving data are needed to analyze driving behavior more comprehensively and thus …

Driving behavior analysis has become crucial for traffic safety. In addition, more abundant
driving data are needed to analyze driving behavior more comprehensively and thus …