Multi-object detection and multi-object-tracking in diverse driving situations is the main
challenge in autonomous vehicles. Vehicle manufacturers and research organizations are …

The non-destructive evaluation (NDE) of civil infrastructure has been an active area of
research in recent decades. The traditional inspection of civil infrastructure mostly relies on …

Data from infrastructure sensors can significantly improve the field of view for intelligent
vehicles (IV), both in terms of range and completeness. In the MEC-View project, we …

Abstract Autonomous Driving Vehicle (ADV) services have become a prominent motif in
intelligent vehicle technology by adapting deep learning features. Automated driverless …

We tackle the problem of object detection and pose estimation in a shared space downtown
environment. For perception multiple laser scanners with 360^o coverage were fused in a …

For extended object tracking (EOT), the random-matrix approach has received extensive
attention. It is able to jointly estimate the kinematic state and extension of an extended …

This article considers the tracking of elliptical extended targets parameterized by center,
orientation, and semiaxes. The focus of this article lies on the fusion of extended target …

For non-ellipsoidal extended targets and group targets tracking, using an ellipsoid to
approximate the target extension may not be accurate enough because of lacking shape …

Ahstract-This paper presents a novel discussion on comparison of common extended object
tracking methods for estimating target-extension ellipses based on real world road level …

A method for infrared and cameras sensor fusion, applied to indoor positioning in intelligent
spaces, is proposed in this work. The fused position is obtained with a maximum likelihood …