Localization is an important component of autonomous vehicles, as it enables the
accomplishment of tasks, such as path planning and navigation. Although vehicle position …

In this paper, we present a multivehicle cooperative driving system architecture using
cooperative perception along with experimental validation. For this goal, we first propose a …

Smart structures of 4D printing are perhaps interdisciplinary research area with significant
development and applicability future. The cornerstone of 4D printing is smart materials …

Curb detection is an important capability for autonomous ground vehicles in urban
environments. It is particularly useful for path planning and safe navigation. Another …

In this paper, we present a localization approach that is based on a point-cloud matching
method (normal distribution transform “NDT”) and road-marker matching based on the light …

Due to their ubiquity and long-term stability, pole-like objects are well suited to serve as
landmarks for vehicle localization in urban environments. In this work, we present a …

This paper presents a precise localization algorithm for vehicles in 3D urban environment
with only one 2D LIDAR and odometry information. A novel idea of synthetic 2D LIDAR is …

In this study, we developed an autonomous driving system for mountainous public roads.
Three-dimensional normal distribution transform (NDT) scan matching is employed for …

High-precision self-localization is one of the basic functions of intelligent vehicles. Moreover,
location information is necessary prior information for tasks such as behavioural decision …

High-precision localization is an important task for intelligent vehicles. Previous studies have
used the raw point cloud for mapping and localization. The problems with this method are …