nagiub, mena beuth, thorsten sistu, ganesh gotzig, heinrich eising, ciarán
Current deep learning-based phase unwrapping techniques for iToF Lidar sensors focus mainly on static indoor scenarios, ignoring motion blur in dynamic outdoor scenarios. Our paper proposes a two-stage semi-supervised method to unwrap ambiguous depth maps affected by motion blur in dynamic outdoor scenes. The method trains on static datasets to lea...
Glonţ, Cristiana Balotă, Octavian Laurențiu Balasz, Csaba
Published in
Mining Revue
Lidar data is difficult to access for regular users due to the very large memory volume required and the need to handle it with powerful computers and quite expensive specialized software. The presented web application is offered for free in the LidarTools version and at a low cost in the LidarMap version, which combines shape-type vector data with...
BAI, Yuchen Durand, Jean-Baptiste Forbes, Florence Vincent, Grégoire
LiDAR (Light Detection And Ranging) has become an essential part of the remote sensing toolbox used for biosphere monitoring. In particular, LiDAR provides the opportunity to map forest leaf area with unprecedented accuracy, while leaf area has remained an important source of uncertainty affecting models of gas exchanges between the vegetation and ...
Gong, Wenlin Han, Shensheng
Published in
Journal of Optics
Ghost imaging (GI), as a computational imaging technology, can staringly obtain the target’s image by computing the second-order correlation function between the intensity of modulation field and the target’s echo signal recorded by a single-pixel detector. Since GI with classical light source was experimentally demonstrated, GI Lidar has been cons...
Trément, Frédéric
International audience
scholes, stirling leach, jonathan
Non-Line of Sight (NLOS) imaging has gained attention for its ability to detect and reconstruct objects beyond the direct line of sight, using scattered light, with applications in surveillance and autonomous navigation. This paper presents a versatile framework for modeling the temporal distribution of photon detections in direct Time of Flight (d...
kim, jonghoek
This article addresses the scanning path plan strategy of a rover team composed of three rovers, such that the team explores unknown dark outer space environments. This research considers a dark outer space, where a rover needs to turn on its light and camera simultaneously to measure a limited space in front of the rover. The rover team is deploye...
Millan, Mathilde Bonnet, Alexis Dauzat, Jean Vezy, Rémi
Background and Aims: Lidar is a promising tool for fast and accurate measurements of trees. There are several approaches to estimate aboveground woody biomass using lidar point clouds. One of the most widely used methods involves fitting geometric primitives (e.g. cylinders) to the point cloud, thereby reconstructing both the geometry and topology ...
stengel, victoria g. gallegos, tanya j. hubbard, bernard e. cahan, steven m. wallace, david s.
We developed a spatiotemporal mapping approach utilizing multiple techniques for distinguishing and mapping known reclaimed mine sites from “unreclaimed” mine sites in a historic uranium mining district along the South Texas Coastal Plains. Lidar laser scanning penetrates the vegetation canopy to expose anthropogenic modifications to the landscape....
Melun, Gabriel Passy, Paul
Cette note a pour objectif de pouvoir comprendre et mobiliser les données LiDAR gratuites et accessibles (licence ouverte Etalab 2.0) issues du programme LiDAR HD de l’Institut national de l'information géographique et forestière (IGN). Ces données d’élévation sont extrêmement riches et pourront être pertinemment mobilisées dans le cadre de nombreu...
