In the context of smart cities, ensuring road safety is crucial due to increasing urbanization
and the interconnected nature of contemporary urban environments. Leveraging innovative …

Emergency vehicle detection plays a critical role in ensuring timely responses and reducing
accidents in modern urban environments. However, traditional methods that rely solely on …

In smart cities, the fast increase in automobiles has caused congestion, pollution, and
disruptions in the transportation of commodities. Each year, there are more fatalities and …

Accident detection and traffic analysis is a critical component of smart city and autonomous
transportation systems that can reduce accident frequency, severity and improve overall …

Automated vehicles use light detection and ranging (LiDAR) sensors for environmental
scanning. However, the relative motion between the scanning LiDAR sensor and objects …

Precise and robust extrinsic parameter calibration is fundamental for LiDAR-camera multi-
modal sensing applications. However, most existing methods assume that sensors have the …

Due to its unique advantages, the integration of Visible Light Communications (VLC) in
vehicle safety applications has become a major research topic. Nevertheless, as this is an …

The article defines the importance of organizing road traffic in urban transportation systems.
The research targets are defined and all its key elements and characteristics are identified …

Transportation agencies continuously and consistently work to improve the processes and
systems for mitigating the impacts of roadway incidents. Such efforts include utilizing …

Predicting traffic risk incidents in first-person helps to ensure a safety reaction can occur
before the incident happens for a wide range of driving scenarios and conditions. One …