In emergency situations, every second counts for an ambulance navigating through traffic.
Efficient use of traffic light systems can play a crucial role in minimizing response time. This …

In this paper, we present a novel methodology based on machine learning for identifying the
most appropriate from a set of available state-of-the-art object detectors for a given …

The precise and real-time detection of vulnerable road users (VRUs) using infrastructure-
sensors-enabled devices is crucial for the advancement of intelligent traffic monitoring …

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 …

A vehicle detection algorithm is an indispensable component of intelligent traffic
management and control systems, influencing the efficiency and functionality of the system …

Object detection systems mounted on Unmanned Aerial Vehicles (UAVs) have gained
momentum in recent years in light of the widespread use cases enabled by such systems in …

Autonomous unmanned aerial vehicle (UAV) technology is a promising technology for
minimizing human involvement in dangerous activities like urban search and rescue …

Meeting gridlocks at busy traffic signals is major obstacle for Emergency Vehicles (EmV).
High priority vehicles like ambulances and fire trucks are made to snag through bottleneck …

Drone or unmanned aerial vehicle (UAV) technology has undergone significant changes.
The technology allows a UAV to carry out a wide range of tasks with an increasing level of …

Recently, with the significant rise of drones, reinforcing and securing aerial security and
privacy has become an urgent task. Their malicious use takes benefit from the malevolent …