Intelligent vehicles have increased their capabilities for highly and, even fully, automated
driving under controlled environments. Scene information is received using onboard …

The Simultaneous Localization and Map** (SLAM) technique has achieved astonishing
progress over the last few decades and has generated considerable interest in the …

We present L3-Net-a novel learning-based LiDAR localization system that achieves
centimeter-level localization accuracy, comparable to prior state-of-the-art systems with …

We present a robust and precise localization system that achieves centimeter-level
localization accuracy in disparate city scenes. Our system adaptively uses information from …

This article seeks to clarify how autonomous vehicles (AV) could affect urban planning and
the built environment, to what extent these effects are compatible with municipalities' existing …

We present a practical approach to global motion planning and terrain assessment for
ground robots in generic three‐dimensional (3D) environments, including rough outdoor …

In the near future, humans will be relieved from parking. Major improvements in autonomous
driving allow the realization of automated valet parking (AVP). It enables the vehicle to drive …

In robotics and video games, one often discretizes continuous terrain into a grid with blocked
and unblocked grid cells and then uses path-planning algorithms to find a shortest path on …

In this paper, we present an end-to-end framework for precise large-scale map** with
applications in autonomous driving. In special, the problem of map** complex …

CAV (connected and autonomous vehicle) is a crucial part of intelligent transportation
systems. CAVs utilize both sensors and communication components to make driving …