Map** for autonomous driving: Opportunities and challenges

K Wong, Y Gu, S Kamijo - IEEE Intelligent Transportation …, 2020 - ieeexplore.ieee.org
This article provides a review of the production and uses of maps for autonomous driving
and a synthesis of the opportunities and challenges. For many years, maps have helped …

Milestones in autonomous driving and intelligent vehicles—Part I: Control, computing system design, communication, HD map, testing, and human behaviors

L Chen, Y Li, C Huang, Y **ng, D Tian… - … on Systems, Man …, 2023 - ieeexplore.ieee.org
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 …

Intelligent GNSS/INS integrated navigation system for a commercial UAV flight control system

G Zhang, LT Hsu - Aerospace science and technology, 2018 - Elsevier
Owing to the increase in civil applications using quadcopters, commercial flight control
systems such as Pixhawk are a popular solution to provide the sensing and control functions …

Aerial LaneNet: Lane-marking semantic segmentation in aerial imagery using wavelet-enhanced cost-sensitive symmetric fully convolutional neural networks

SM Azimi, P Fischer, M Körner… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The knowledge about the placement and appearance of lane markings is a prerequisite for
the creation of maps with high precision, necessary for autonomous driving, infrastructure …

A single correspondence is enough: Robust global registration to avoid degeneracy in urban environments

H Lim, S Yeon, S Ryu, Y Lee, Y Kim… - … on robotics and …, 2022 - ieeexplore.ieee.org
Global registration using 3D point clouds is a crucial technology for mobile platforms to
achieve localization or manage loop-closing situations. In recent years, numerous …

Precise localization for achieving next-generation autonomous navigation: State-of-the-art, taxonomy and future prospects

RC Shit - Computer Communications, 2020 - Elsevier
Achieving full autonomy in navigation is a complicated problem. The most widely used
solution takes up the modular framework for sensing and information processing such as …

[HTML][HTML] Autonomous vehicle self-localization based on abstract map and multi-channel LiDAR in urban area

E Javanmardi, Y Gu, M Javanmardi, S Kamijo - IATSS research, 2019 - Elsevier
Accurate vehicle self-localization is significant for autonomous driving. The localization
techniques based on Global Navigation Satellite System (GNSS) cannot achieve the …

PaGO-LOAM: Robust ground-optimized LiDAR odometry

DU Seo, H Lim, S Lee, H Myung - 2022 19th International …, 2022 - ieeexplore.ieee.org
Numerous researchers have conducted studies to achieve fast and robust ground-optimized
LiDAR odometry methods for terrestrial mobile platforms. In particular, ground-optimized …

Generation of horizontally curved driving lines in HD maps using mobile laser scanning point clouds

L Ma, Y Li, J Li, Z Zhong… - IEEE Journal of Selected …, 2019 - ieeexplore.ieee.org
This paper presents the development of a semiautomated driving line generation method
using point clouds acquired by a mobile laser scanning system. Horizontally curved driving …

Leveraging photogrammetric mesh models for aerial-ground feature point matching toward integrated 3D reconstruction

Q Zhu, Z Wang, H Hu, L **e, X Ge, Y Zhang - ISPRS Journal of …, 2020 - Elsevier
Integration of aerial and ground images has been proved as an efficient approach to
enhance the surface reconstruction in urban environments. However, as the first step, the …