Obtaining the accurate and real-time state of surrounding objects is essential for automated
vehicle planning and decision-making to ensure safe driving. In complex traffic scenarios …

Intelligent transportation systems (ITSs) play an increasingly important role in traffic
management and traffic safety. Smart cameras are the most widely used sensors in ITSs …

This paper proposes a novel method for multivehicle detection and tracking using a vehicle-
mounted monocular camera. In the proposed method, the features of vehicles are learned …

Data fusion is an important issue for object tracking in autonomous systems such as robotics
and surveillance. In this paper, we present a multiple-object tracking system whose design is …

Robust real-time object detection and tracking are challenging problems in autonomous
transportation systems due to operation of algorithms in inherently uncertain and dynamic …

Nowadays, accurate and real-time vehicle tracking is critical to ensure the safety of
intelligent vehicles. However, tracking in the complex traffic environments still remains a …

In this paper, a joint detection and tracking processing (JDTP) algorithm is proposed for
target tracking in clutter using a multiple radar system. In this paper, the data association …

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 …

Environment perception, one of the most fundamental and challenging problems of
autonomous vehicles (AVs), has been widely studied in recent decades. Due to inferior fault …

Automated vehicles in urban scenarios require a reliable perception technology to tackle the
high amount of uncertainties. In this paper a real-time framework for multi-object detection …