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

In recent years, intelligent sensing has gained significant attention because of its
autonomous decision-making ability to solve complex problems. Today, smart sensors …

Road accidents are a leading cause of death and disability among youth. Contemporary
research on accident detection systems is focused on either decreasing the reporting time or …

Unmanned merchant ships are ships that carry goods and engage in commercial activities
without manual operations on board. In contrast to traditional merchant ships, unmanned …

Connected-vehicle system is an important component of smart cities. The complete benefits
of connected-vehicle technologies need the real-time information of all vehicles and other …

Monitoring critical infrastructure is of great importance for resilience against current and
emerging hazards. In Canada, at the national level, critical infrastructure is strategically …

This paper developed a data processing procedure for detection and tracking of multi-lane
multi-vehicle trajectories with a roadside Light Detection and Ranging (LiDAR) sensor …

Object occlusion is a common issue in Light Detection and Ranging (LiDAR)-based vehicle
tracking technology. The occlusions can cause variance in vehicle location and speed …

Numerous deep learning techniques have been explored in pursuit of achieving precise
road segmentation; nonetheless, this task continues to present a significant challenge …

The characteristic analysis of car-following behavior in different scenarios is important for
studying microscopic traffic flow models. This study first used roadside light detecting and …