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Map** for autonomous driving: Opportunities and challenges
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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 …
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
Accurate vehicle self-localization is significant for autonomous driving. The localization
techniques based on Global Navigation Satellite System (GNSS) cannot achieve the …
techniques based on Global Navigation Satellite System (GNSS) cannot achieve the …
PaGO-LOAM: Robust ground-optimized LiDAR odometry
Numerous researchers have conducted studies to achieve fast and robust ground-optimized
LiDAR odometry methods for terrestrial mobile platforms. In particular, 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
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 …
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
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 …
enhance the surface reconstruction in urban environments. However, as the first step, the …