Advancements in structural health monitoring (SHM) techniques have spiked in the past few
decades due to the rapid evolution of novel sensing and data transfer technologies. This …

Autonomous vehicles (AVs) must share space with pedestrians, both in carriageway cases
such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles …

Pedestrian trajectory prediction is one of the main concerns of computer vision problems in
the automotive industry, especially in the field of advanced driver assistance systems. The …

Motion control algorithms in the presence of pedestrians are critical for the development of
safe and reliable Autonomous Vehicles (AVs). Traditional motion control algorithms rely on …

Detecting pedestrians in autonomous driving is a safety-critical task, and the decision to
avoid aa person has to be made with minimal latency. Multispectral approaches that …

This paper surveys the state-of-the-art contributions supporting the validation of virtual
testing toolchains for Automated Driving System (ADS) verification. The work builds upon the …

Localisation and navigation of autonomous vehicles (AVs) in static environments are now
solved problems, but how to control their interactions with other road users in mixed traffic …

Drones have been widely used in a variety of applications, eg, aerial photography and
military security, because of their high maneuverability and broad views compared with fixed …

Due to its significant capability of modeling long-range dependencies, vision transformer
(ViT) has achieved promising success in both holistic and occluded person re-identification …

Pedestrian fatalities and injuries most likely occur in vehicle-pedestrian crashes. Meanwhile,
engineers have tried to reduce the problems by developing a pedestrian detection function …