As the key part of autonomous driving (AD), High-Definition (HD) map provides more precise
location and rich semantic information than the traditional map. With the development of AD …

Environment perception by computing the depth is a key task for unmanned aerial vehicle
(UAV) type systems. Due to the limited load they can carry, most drones are equipped with a …

Objectives The development of high definition (HD) map is of paramount importance in
advancing the digital infrastructure of transportation and serves as a fundamental …

Accurate and reliable localization in urban environments is critical for high-level
autonomous driving systems. In comparison to other localization strategies, map-based …

The transport infrastructure of a country facilitates the development and growth of its
economy and improves the quality of life of its inhabitants. Increasing its resilience to …

In this paper, we present a novel method for recognizing pole-like objects in LiDAR point
clouds, which is useful for landmark-based localization and high-definition (HD) map …

The widespread use of light detection and ranging (LiDAR) data provides a promising
source for the automatic detection and inventory of roadside assets. One of the essential …

The rapidly expanding population and scarcity of affordable housing in many urban areas,
such as Los Angeles, have resulted in large inventories of structures in hilly landscapes …

To tackle the issue of lack of semantic consistency between ground and non-ground points,
as well as the damage to the integrity of terrain boundary information during network …

In this work we present a novel deep learning-based approach to detect and specify map
deviations in erroneous or outdated high-definition (HD) maps using both sensor and map …