A Review of Multi-Sensor Fusion SLAM Systems Based on 3D LIDAR
Remote Sensing, 2022 The ability of intelligent unmanned platforms to achieve autonomous navigation and positioning in a large-scale environment has become increasingly demanding, in which LIDAR-based Simultaneous Localization and Mapping (SLAM) is the mainstream of research
Xiaobin Xu +7 more
semanticscholar +1 more source
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation [PDF]
Computer Vision and Pattern Recognition, 2020 State-of-the-art methods for large-scale driving-scene LiDAR segmentation often project the point clouds to 2D space and then process them via 2D convolution.
Xinge Zhu +7 more
semanticscholar +1 more source
Moving Object Segmentation in 3D LiDAR Data: A Learning-Based Approach Exploiting Sequential Data [PDF]
IEEE Robotics and Automation Letters, 2021 The ability to detect and segment moving objects in a scene is essential for building consistent maps, making future state predictions, avoiding collisions, and planning.
Xieyuanli Chen +6 more
semanticscholar +1 more source
3D GEOLOGICAL OUTCROP CHARACTERIZATION: AUTOMATIC DETECTION OF 3D PLANES (AZIMUTH AND DIP) USING LiDAR POINT CLOUDS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 Terrestrial laser scanning constitutes a powerful method in spatial information data acquisition and allows for geological outcrops to be captured with high resolution and accuracy. A crucial aspect for numerous geologic applications is the extraction of
K. Anders +6 more
doaj +1 more source
FAST-LIO: A Fast, Robust LiDAR-Inertial Odometry Package by Tightly-Coupled Iterated Kalman Filter [PDF]
IEEE Robotics and Automation Letters, 2020 This letter presents a computationally efficient and robust LiDAR-inertial odometry framework. We fuse LiDAR feature points with IMU data using a tightly-coupled iterated extended Kalman filter to allow robust navigation in fast-motion, noisy or ...
W. Xu, Fu Zhang
semanticscholar +1 more source
Lidar Observations Versus Forecast of Water Vapor Transport [PDF]
EPJ Web of Conferences, 2020 Water vapor advection is an important diagnostic parameter for initiation and sustenance of convective systems. This variable has traditionally been explored with balloon soundings or models, but lidar provides a unique opportunity to continuously ...
Carroll Brian +2 more
doaj +1 more source
THE APPLICATION OF SUPPORT VECTOR MACHINE (SVM) USING CIELAB COLOR MODEL, COLOR INTENSITY AND COLOR CONSTANCY AS FEATURES FOR ORTHO IMAGE CLASSIFICATION OF BENTHIC HABITATS IN HINATUAN, SURIGAO DEL SUR, PHILIPPINES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 This study demonstrates the application of CIELAB, Color intensity, and One Dimensional Scalar Constancy as features for image recognition and classifying benthic habitats in an image with the coastal areas of Hinatuan, Surigao Del Sur, Philippines as ...
J. E. Cubillas, M. Japitana
doaj +1 more source
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation [PDF]
Computer Vision and Pattern Recognition, 2020 The requirement of fine-grained perception by autonomous driving systems has resulted in recently increased research in the online semantic segmentation of single-scan LiDAR.
Yang Zhang +5 more
semanticscholar +1 more source
OverlapTransformer: An Efficient and Yaw-Angle-Invariant Transformer Network for LiDAR-Based Place Recognition [PDF]
IEEE Robotics and Automation Letters, 2022 Place recognition is an important capability for autonomously navigating vehicles operating in complex environments and under changing conditions. It is a key component for tasks such as loop closing in SLAM or global localization.
Junyi Ma +5 more
semanticscholar +1 more source
ASSESSING THE IMPACTS OF FLOODING CAUSED BY EXTREME RAINFALL EVENTS THROUGH A COMBINED GEOSPATIAL AND NUMERICAL MODELING APPROACH [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 In this paper, we present a combined geospatial and two dimensional (2D) flood modeling approach to assess the impacts of flooding due to extreme rainfall events.
J. R. Santillan +7 more
doaj +1 more source