With the rapid advancements of sensor technology and deep learning, autonomous driving
systems are providing safe and efficient access to intelligent vehicles as well as intelligent …

As artificial intelligence (AI) has already seen numerous successful applications, the
upcoming challenge lies in how to realize artificial general intelligence (AGI). Self-learning …

Due to the global population increase and the recovery of agricultural demand after the
COVID-19 pandemic, the importance of agricultural automation and autonomous agricultural …

Radar sensors are vital for autonomous driving due to their consistent and dependable
performance, even in challenging weather conditions. Semantic segmentation of moving …

As one of the automotive sensors that have emerged in recent years, 4D millimeter-wave
radar has a higher resolution than conventional 3D radar and provides precise elevation …

To meet regulatory and safety standards, a significant amount of ground-truth data is
necessary for data-driven validation of perception algorithms. To overcome the high costs …

Vehicle detection algorithms are essential for intelligent traffic management and
autonomous driving systems. Current vehicle detection algorithms largely rely on deep …

To address problems of the poor matching accuracy and speed in space object detection,
this paper proposes a deformable fast object matching algorithm. It is a target-oriented depth …

Autonomous driving, as a pivotal technology in modern transportation, is progressively
transforming the modalities of human mobility. In this domain, vehicle detection is a …

Drone-based vehicle detection is a critical task within intelligent transportation systems. The
existing methods that rely solely on single visible or infrared modalities often struggle to …