Safety assessment of road sections and networks have historically relied on police-reported
crash data. These data have several noteworthy and significant shortcomings, including …

Increase in traffic density along with the population growth in the world has resulted in more
and more congested roads, air pollution, and accidents. Growth of total number of vehicles …

Abstract Intelligent Transportation Systems (ITS) help improve the ever‐increasing vehicular
flow and traffic efficiency in urban traffic to reduce the number of accidents. The generation …

Visual tracking is a vital component of autonomous driving perception system. Siamese
networks have achieved great success in both accuracy and speed for visual tracking tasks …

Correlation filter (CF) has been widely used in tracking tasks due to its simplicity and high
efficiency. However, conventional CF-based trackers fail to handle the scale variation that …

Many complicated road intersections are seen while driving. In some, blind spots make it
difficult for drivers or automated vehicles to discern moving objects coming from certain …

Data association is a key step within the multi-object tracking pipeline that is notoriously
challenging due to its combinatorial nature. A popular and general way to formulate data …

Traffic surveillance plays an important role in the development of a smart city, and it is a
fundamental part in many applications such as security monitoring and traffic analysis …

Commercial retrospective video analytics platforms have increasingly adopted general
interfaces to support the custom queries and convolutional neural networks (CNNs) that …

The next generation of intelligent traffic signal control systems needs multi-object tracking
(MOT) algorithms that can track vehicles hundreds of meters away from traffic intersections …