Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace
due to the convenience, safety, and economic benefits. Although a number of surveys have …

In the context of autonomous vehicles on highways, one of the first and most important tasks
is to localize the vehicle on the road. For this purpose, the vehicle needs to be able to take …

This work addresses the challenging task of LiDAR-based 3D object detection in foggy
weather. Collecting and annotating data in such a scenario is very time, labor and cost …

The recent advancement in autonomous robotics is directed toward designing a reliable
system that can detect and track multiple objects in the surrounding environment for …

Autonomous vehicles integrate complex software stacks for realizing the necessary iterative
perception, planning, and action operations. One of the foundational layers of such stacks is …

Abstract Knowledge about the own pose is key for all mobile robot applications. Thus pose
estimation is part of the core functionalities of mobile robots. Over the last two decades …

Conventional sensor-based localization relies on high-precision maps, which are generally
built using specialized mapping techniques involving high labor and computational costs. In …

This paper develops a non-model based vehicle tracking methodology for extracting road
user trajectories as they pass through the field of view of a 3D LiDAR sensor mounted on the …

In the last decade, deep learning (DL) has significantly impacted industry and science.
Initially largely motivated by computer vision tasks in 2-D imagery, the focus has shifted …

Research on autonomous vehicles has made significant advances in recent years. To
operate an autonomous vehicle safely and effectively, precise localization is essential. This …