In response to the dangerous behavior of pedestrians roaming freely on unsupervised train
tracks, the real-time detection of pedestrians is urgently required to ensure the safety of …

Traffic detection devices can cause accuracy degradation over time. Considering problems
such as time-consuming and laborious manual statistics, high misdetection probabilities …

As an essential part of intelligent monitoring, behavior recognition, automatic driving, and
others, the challenge of multi-object tracking is still to ensure tracking accuracy and …

Automated driving is an inevitable trend in future transportation, it is also one of the eminent
achievements in the matter of artificial intelligence. Deep learning produces a significant …

Inaccuracies of traffic sensors during traffic counting and vehicle classification have
persisted as transportation agencies have been prompted to calibrate sensors periodically …

In this paper, we present a novel deep learning method for detecting and tracking vehicles
within the context of autonomous driving, particularly focusing on scenarios related to …

At present, the detection-based pedestrian multi-target tracking algorithm is widely used in
artificial intelligence, unmanned driving cars, virtual reality and other fields, and has …

Mechanical helical phased array antenna (HPAA) realizes microwave beam directing by
mechanically rotating the helical antenna element. Measuring and calibrating the phase of …

Multi-target tracking is a complex problem in computer vision, involving occlusion, target
trajectory disappearance, etc. In response to these questions, we first propose a trajectory …

Computer vision has been aiding various industries in making work efficient. In the case of
marine and ocean-related industries, climate change, greenhouse gasses, fishing …