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Remote Sensing of Environment, 2022 NASA s Global Ecosystem Dynamics Investigation (GEDI) is collecting spaceborne full waveform lidar data with a primary science goal of producing accurate estimates of forest aboveground biomass density (AGBD).
Laura Duncanson +2 more
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Proceedings of the 4th international ACM Sigsoft symposium on Architecting critical systems, 2013
Given the advanced set of capabilities offered by smartphone and tablet computing devices, they have become the platform of choice for many users for day-to-day work and leisure. There is however a fundamental difference in the attitude of a typical user when it comes to using their mobile device as compared to their personal computers.
Roshanak Roshandel +2 more
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Given the advanced set of capabilities offered by smartphone and tablet computing devices, they have become the platform of choice for many users for day-to-day work and leisure. There is however a fundamental difference in the attitude of a typical user when it comes to using their mobile device as compared to their personal computers.
Roshanak Roshandel +2 more
+7 more sources
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
IEEE/RJS International Conference on Intelligent RObots and Systems, 2020We propose a framework for tightly-coupled lidar inertial odometry via smoothing and mapping, LIO-SAM, that achieves highly accurate, real-time mobile robot trajectory estimation and map-building.
Tixiao Shan +5 more
semanticscholar +1 more source
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
IEEE/RJS International Conference on Intelligent RObots and Systems, 2018We propose a lightweight and ground-optimized lidar odometry and mapping method, LeGO-LOAM, for realtime six degree-of-freedom pose estimation with ground vehicles.
Tixiao Shan, Brendan Englot
semanticscholar +1 more source
RangeNet ++: Fast and Accurate LiDAR Semantic Segmentation
IEEE/RJS International Conference on Intelligent RObots and Systems, 2019Perception in autonomous vehicles is often carried out through a suite of different sensing modalities. Given the massive amount of openly available labeled RGB data and the advent of high-quality deep learning algorithms for image-based recognition ...
Andres Milioto +3 more
semanticscholar +1 more source
LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding
arXiv.org, 2023Recently, Large Language Models (LLMs) and Multimodal Large Language Models (MLLMs) have shown promise in instruction following and 2D image understanding.
Senqiao Yang +9 more
semanticscholar +1 more source
2007
At the EARLINET station of Thessaloniki (40.5oN, 22.9oE) we perform correlativemeasurements for CALIPSO since July 2006. In this study, we present comparisonsof the ground-based data with measurements performed with the space-borne lidarCALIOP onboard CALIPSO satellite over our site.
François Nicolas, Pierre Flamant
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At the EARLINET station of Thessaloniki (40.5oN, 22.9oE) we perform correlativemeasurements for CALIPSO since July 2006. In this study, we present comparisonsof the ground-based data with measurements performed with the space-borne lidarCALIOP onboard CALIPSO satellite over our site.
François Nicolas, Pierre Flamant
openaire +2 more sources
Applied Optics, 1969
Lidar uses laser energy in radar fashion to observe atmospheric backscattering as a function of range. The concomitant attenuation of energy along the intervening path complicates the evaluation of the observations, but even on a qualitative basis the delineation of clouds or of structure in the apparently clear air is of considerable value in ...
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Lidar uses laser energy in radar fashion to observe atmospheric backscattering as a function of range. The concomitant attenuation of energy along the intervening path complicates the evaluation of the observations, but even on a qualitative basis the delineation of clouds or of structure in the apparently clear air is of considerable value in ...
openaire +2 more sources
Automotive LiDAR Technology: A Survey
IEEE transactions on intelligent transportation systems (Print), 2021Nowadays, and more than a decade after the first steps towards autonomous driving, we keep heading to achieve fully autonomous vehicles on our roads, with LiDAR sensors being a key instrument for the success of this technology.
Ricardo Roriz, J. Cabral, Tiago Gomes
semanticscholar +1 more source
An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation
Remote Sensing, 2016 Separating point clouds into ground and non-ground measurements is an essential step to generate digital terrain models (DTMs) from airborne LiDAR (light detection and ranging) data. However, most filtering algorithms need to carefully set up a number of
Wuming Zhang, Jianbo Qi, Peng Wan
exaly +2 more sources