Road object detection for HD map: Full-element survey, analysis and perspectives
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 …
location and rich semantic information than the traditional map. With the development of AD …
Monocular depth estimation with improved long-range accuracy for UAV environment perception
VC Miclea, S Nedevschi - IEEE Transactions on Geoscience …, 2021 - ieeexplore.ieee.org
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 …
(UAV) type systems. Due to the limited load they can carry, most drones are equipped with a …
Development and Prospects of High Definition Map for Intelligent Vehicle
Objectives The development of high definition (HD) map is of paramount importance in
advancing the digital infrastructure of transportation and serves as a fundamental …
advancing the digital infrastructure of transportation and serves as a fundamental …
A lightweight feature map creation method for intelligent vehicle localization in urban road environments
Y Cai, Z Lu, H Wang, L Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Accurate and reliable localization in urban environments is critical for high-level
autonomous driving systems. In comparison to other localization strategies, map-based …
autonomous driving systems. In comparison to other localization strategies, map-based …
[HTML][HTML] Automatic detection to inventory road slopes using open LiDAR point clouds
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 …
economy and improves the quality of life of its inhabitants. Increasing its resilience to …
DNN-based recognition of pole-like objects in LiDAR point clouds
C Plachetka, J Fricke, M Klingner… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
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 …
clouds, which is useful for landmark-based localization and high-definition (HD) map …
Fully automated algorithm for light pole detection and mapping in rural highway environment using mobile light detection and ranging point clouds
M Gouda, A Shalkamy, X Li… - Transportation …, 2022 - journals.sagepub.com
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 …
source for the automatic detection and inventory of roadside assets. One of the essential …
Integrating vision and lidar based hyperlocal metadata for optimal capacity expansion planning in hillside road networks
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 …
such as Los Angeles, have resulted in large inventories of structures in hilly landscapes …
SC-CNN: LiDAR point cloud filtering CNN under slope and copula correlation constraint
R Chen, J Wu, X Zhao, Y Luo, G Xu - ISPRS Journal of Photogrammetry and …, 2024 - Elsevier
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 …
as well as the damage to the integrity of terrain boundary information during network …
DNN-based map deviation detection in LiDAR point clouds
C Plachetka, B Sertolli, J Fricke… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
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 …
deviations in erroneous or outdated high-definition (HD) maps using both sensor and map …