Zobrazeno 1 - 10
of 255
pro vyhledávání: '"LiDAR odometry"'
Publikováno v:
Journal of Intelligent and Connected Vehicles, Vol 7, Iss 2, Pp 97-107 (2024)
Positioning and mapping technology is a difficult and hot topic in autonomous driving environment sensing systems. In a complex traffic environment, the signal of the Global Navigation Satellite System (GNSS) will be blocked, leading to inaccurate ve
Externí odkaz:
https://doaj.org/article/0789d6b8f3744757934768ba7874c620
Publikováno v:
Robotic Intelligence and Automation, 2023, Vol. 44, Issue 1, pp. 68-83.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/RIA-07-2023-0086
Autor:
Ravindu G. Thalagala, Sahan M. Gunawardana, Oscar de Silva, George K. I. Mann, Awantha Jayasiri, Arthur W. Gubbels, Raymond G. Gosine
Publikováno v:
IEEE Access, Vol 12, Pp 148904-148915 (2024)
This paper presents an aeronautical-grade payload unit designed for real-time execution of visual-inertial-LiDAR odometry and mapping (VILOAM) algorithms. The payload offers platform interchangeability between full-scale aircraft (e.g., Bell 412 heli
Externí odkaz:
https://doaj.org/article/adb93b46840741e3a6a973fb218c930c
Autor:
Sudeepta R. Sahoo, P. V. Manivanan
Publikováno v:
IEEE Access, Vol 12, Pp 92872-92891 (2024)
An autonomous vehicle requires a self-tracking system that can operate both indoors and outdoors using only on-board sensors. In this work, a vehicle self-tracking scheme called Error-State Kalman Filter-Based Visual-LiDAR Odometry (ESKF-VLO) that us
Externí odkaz:
https://doaj.org/article/d0e8737f12a243dca339ae40614fa0b6
Publikováno v:
IEEE Access, Vol 12, Pp 34042-34053 (2024)
The Simultaneous Localization and Mapping (SLAM) environment is evolving from static to dynamic. However, traditional SLAM methods struggle to eliminate the influence of dynamic objects, leading to significant deviations in pose estimation. Addressin
Externí odkaz:
https://doaj.org/article/5fb75d97cd9844e6bd11a0e629d0e0a5
Publikováno v:
Symmetry, Vol 16, Iss 11, p 1496 (2024)
Dense reconstruction have been studied for decades in the fields of computer vision and robotics, in which LiDAR and camera are widely used. However, vision-based methods are sensitive to illumination variation and lack direct depth, and LiDAR-based
Externí odkaz:
https://doaj.org/article/42a501f87be74c43bb2042877c3289d6
Publikováno v:
Applied Sciences, Vol 14, Iss 20, p 9181 (2024)
Improving the accuracy of parking space recognition is crucial in the fields for Automated Valet Parking (AVP) of autonomous driving. In AVP, accurate free space recognition significantly impacts the safety and comfort of both the vehicles and driver
Externí odkaz:
https://doaj.org/article/2ef6e3cbd2d843e4a403ec42df0f8769
Publikováno v:
Micromachines, Vol 15, Iss 10, p 1212 (2024)
Global Navigation Satellite Systems (GNSSs) frequently encounter challenges in providing reliable navigation and positioning within urban canyons due to signal obstruction. Micro-Electro-Mechanical System (MEMS) Inertial Measurement Units (IMUs) offe
Externí odkaz:
https://doaj.org/article/41f58d0bb3cb4f2aaa3cea1dcf1a4a09
Publikováno v:
Remote Sensing, Vol 16, Iss 14, p 2527 (2024)
LiDAR-based simultaneous localization and mapping (SLAM) offer robustness against illumination changes, but the inherent sparsity of LiDAR point clouds poses challenges for continuous tracking and navigation, especially in feature-deprived scenarios.
Externí odkaz:
https://doaj.org/article/c07ad930f3514e4ea0d6479b0a061f05
Autor:
Janusz Będkowski
Publikováno v:
SoftwareX, Vol 25, Iss , Pp 101618- (2024)
This paper presents open-source software for large-scale 3D mapping using an open-hardware hand-held measurement device. This work is dedicated to educational and research purposes. This software is composed of three components: LIDAR odometry, singl
Externí odkaz:
https://doaj.org/article/b4fad7616b3442bcb752592b92ca6bf6