Digitalization is revolutionizing our way of life and catalyzing the transformation into smart
city. Intelligent Transportation System (ITS) being an indispensable component of smart city …

Predicting the 6DoF pose of vehicles from a single view image without additional constraints
remains an ill-posed problem. Current monocular approaches require expensive and time …

Vehicle Make and Model Recognition (VMMR) is one of the fundamental elements in
Intelligent Transportation System (ITS) that becomes the enabler for plenty of downstream …

Recognizing cars based on their features is a difficult task. We propose a solution that uses
a convolutional neural network (CNN) and image binarization method for car make and …

This work proposes a novel deep learning method to predict depth of floodwater on streets
based on side-view images of vehicles. Finding flood levels on roadways is useful for …

Point cloud visibility is a crucial attribute for 3D tasks as it links the visible object points to a
given viewpoint. In this paper, we address the problem of point cloud visibility for monocular …

The vehicle makes and model recognition (VMMR) is a challenging task due to the wide
range of vehicle categories and similarities between different classes. Studies have shown …

This thesis investigates the usage of Siamese networks across three surveillance and
security tasks for land border security. Siamese networks (also known as a twin-pair …

This paper restricts, extracts and normalizes transport heterogeneous spatial-temporal data
source based on road management information, such as safety warning signs for …

In this paper, we conduct a systematic review of recent research on three computer vision
(CV) problems: vehicle detection, vehicle classification, and vehicle re-identification. These …