There is a group of users within the vehicular traffic ecosystem known as Vulnerable Road
Users (VRUs). VRUs include pedestrians, cyclists, motorcyclists, among others. On the other …

Modern autonomous systems rely on both object detection and object tracking in their visual
perception pipelines. Although many recent works have attacked the object detection …

A pedestrian detector that uses visible and thermal infrared image pairs as the input has
better detection performance than a detector that uses only visible image under challenging …

Abstract Information granulation theory has been widely used in short-term time-series
forecasting research and holds significant weight. However, the error accumulation due to …

Object tracking is a crucial research subfield in computer vision and it has wide applications
in navigation, robotics and military applications and so on. In this paper, the real-time …

An increasing number of image perception models are being utilized in the field of
autonomous driving. During nighttime driving, the visual perception capabilities of a single …

This paper describes the development of an intelligent infrastructure, a test field, for the
safety assurance of automated vehicles within the research project Ingolstadt Innovation …

Autonomous vehicle navigation around human pedestrians remains a challenge due to the
potential for complex interactions and feedback loops between the agents. As a small step …

There are a lot of challenges associated with-autonomous driving, and one such challenge
is pedestrian detection and tracking, especially in this complex world, multiple people are …

In this paper, pedestrian path prediction at a signalized crosswalk with pedestrian-electric
bicycle-vehicle mixed flow is investigated. Firstly, a waiting/crossing decision model …