In the last decade, Light Detection and Ranging (LIDAR) became a leading technology of
detailed and reliable 3D environment perception. This paper gives an overview of the wide …

Environment analysis of automatic vehicles needs the detection from 3-D point cloud
information. This paper addresses this task when only partial scanning data are available …

In this paper we introduce a Lidar based real time and accurate self localization approach
for self driving vehicles (SDV) in high resolution 3D point cloud maps of the environment …

In this paper, we introduce a 3D convolutional neural network (CNN)-based method to
segment point clouds obtained by mobile laser scanning (MLS) sensors into nine different …

Traffic facilities extraction is of vital importance to various applications such as intelligent
transportation systems, infrastructures inventory and city management related applications …

This paper deals with the colorization of grayscale images. Recent papers have shown
remarkable results on image colorization utilizing various deep architectures. Unlike …

Person re-identification is one of the widely studied research topic in the fields of computer
vision and pattern recognition. In this paper, we present a deep multi-instance learning …

False positive reduction is a key procedure of computer‐aided pulmonary nodule detection.
The goal is to recognize the true pulmonary nodule from the plentiful candidates, which …

Today, Artificial Intelligence (AI) used widely in data science and computer vision. It has
proven to be state of the art algorithm for classification tasks. One of the tasks that Virtual …

In this paper various new solutions are introduced for the analysis of the dynamic 3D
environment using up-do-date sensor configurations. The paper begins with an overview on …