Multiple object tracking gained a lot of interest from researchers in recent years, and it has
become one of the trending problems in computer vision, especially with the recent …

Noise maps and action plans represent the main tools in the fight against citizens' exposure
to noise, especially that produced by road traffic. The present and the future in smart traffic …

Perception systems play a crucial role in autonomous driving by reading the sensory data
and providing meaningful interpretation of the operating environment for decision-making …

In this paper we propose an automatic trajectory data reconciliation to correct common
errors in vision-based vehicle trajectory data. Given “raw” vehicle detection and tracking …

Tracking the fish is a key step in analyzing fish behavior, evaluating their health levels, and
warning of abnormal water quality, so it is of significant importance for intelligent monitoring …

Millimeter-wave (MMW) radar is essential in roadside traffic perception scenarios and traffic
safety control. For traffic risk assessment and early warning systems, MMW radar provides …

Abstract Multiple Object Tracking (MOT) is crucial to autonomous vehicle perception. End-to-
end transformer-based algorithms, which detect and track objects simultaneously, show …

Self-driving vehicles must be controlled by navigation algorithms that ensure safe driving for
passengers, pedestrians and other vehicle drivers. One of the key factors to achieve this …

Multitarget tracking based on multisensor fusion perception is one of the key technologies to
realize the intelligent driving of automobiles and has become a research hotspot in the field …

Multi-object tracking (MOT) or global data association problem is commonly approached as
a minimum-cost-flow or minimum-cost-circulation problem on a graph. While there have …