… single pedestrian tracking models. Previous reviews on tracking methods for pedestrians …
methods for single pedestrian location tracking relevant to autonomous vehicle interactions (…

… The purpose of this paper is to present a technique to make autonomous vehicles safer
by presenting a novel pedestrian tracking method combining the Camshift algorithm and the …

… pedestrian and cyclist detection and intent estimation to increase the safety of autonomous
vehicles… Understanding the intentions of the pedestrian/cyclist enables the self-driving vehicle …

… However, accurate pedestrian detection is a very challenging task due to the … pedestrian
detection issues in autonomous vehicles. This survey paper provides an overview of pedestrian …

… on pedestrian behavior studies involving autonomous vehicles. At first glance, we can see
that, compared to classical studies, pedestrian behavior in the context of autonomous driving …

… is used for pedestrian tracking of autonomous vehicles. Both the pedestrian and the camera
… , which limits the accuracy of the multi-object tracking algorithm to a certain extent. In the …

… technologies required to build an autonomous vehicle and conduct a relevant … , pedestrian
detection, path planning, motion control, and vehicle cybersecurity for autonomous vehicles. …

… The aim of this research was to identify potential external features on a fully autonomous
vehicle (FAV) and investigate which features would help pedestrians to understand the …

… of pedestrian tracking in complex scenarios. Particularly, we introduce a new pedestrian
tracking … , which is an advanced deep learning multi-object tracking (MOT) method. Our findings …

… to find the pedestrians’ poses and to promote pedestrian tracking, and can benefit the
autonomous vehicles to make a more accurate prediction of the pedestrians’ moving trajectories. …