Automated extraction of roads from remotely sensed data come forth various usages ranging
from digital twins for smart cities, intelligent transportation, urban planning, autonomous …

Blockchain is an underlying technology for securing many real-time applications and their
data. The automobile is one such sector in which auto-manufacturers are looking forward to …

The mobile laser scanning (MLS) technique has attracted considerable attention for
providing high-density, high-accuracy, unstructured, three-dimensional (3D) geo-referenced …

This paper, by critically reviewing different years (from 2010 to 2020) of research activities
performed with Mobile Laser Scanning system, aims to review existing systems and how …

The effective detection of curbs is fundamental and crucial for the navigation of a self-driving
car. This paper presents a real-time curb detection method that automatically segments the …

Improving the resilience of infrastructures is key to reduce their risk vulnerability and mitigate
impact from hazards at different levels (eg, from increasing extreme events, driven by climate …

Mobile laser scanning (MLS) systems mainly comprise laser scanners and mobile mapping
platforms. Typical MLS systems are able to acquire three-dimensional point clouds with 1-10 …

Effectively detecting road boundaries in real time is critical to the applications of autonomous
vehicles, such as vehicle localization, path planning, and environmental understanding. To …

Traffic signs are one of the most important safety elements in a road network. Particularly,
road markings provide information about the limits and direction of each road lane, or warn …

Effective extraction of road boundaries plays a significant role in intelligent transportation
applications, including autonomous driving, vehicle navigation, and mapping. This paper …