Multimodal collaborative UAV framework for single rubber tree parsing. [PDF]
Yin W +11 more
europepmc +1 more source
Quantifying microhabitat selection of snowshoe hares using forest metrics from UAS‐based LiDAR
Identifying the spatial and temporal scale at which animals select resources is critical for predicting how populations respond to changes in the environment. The spatial distribution of fine‐scale resources (e.g. patches of dense vegetation) are often linked with critical life‐history requirements such as denning and feeding sites.
Alexej P. K. Sirén +7 more
wiley +1 more source
Online Extrinsic Calibration of Camera and LiDAR Based on Cascade Optimization. [PDF]
Hou C, He Z, Zhao T, Guo Z, Ji X.
europepmc +1 more source
Estimating red deer Cervus elaphus population density using drones in a steep and rugged terrain
Precise and accurate information about population density, crucial for wildlife management, is difficult to obtain for elusive species living in dense forests or steep and inaccessible terrain. Using unmanned aerial vehicles (UAVs), we developed a method for obtaining absolute population estimates of ungulates living in steep, rugged, and partly ...
Julie Bommerlund +3 more
wiley +1 more source
A Pose Initialization Method for Unmanned Vehicles Based on an Improved Siamese Neural Network and Multi-Stage Probabilistic Registration Localization. [PDF]
Yang J, Chen B, Shen W, Xu X.
europepmc +1 more source
Target-less registration of UAV-LiDAR point clouds based on graph matching of tree locations in forest environments. [PDF]
Fekry R +4 more
europepmc +1 more source
CDFNet: Cross‐Modal Deep Fusion for Monocular 3D Semantic Scene Completion
ABSTRACT Semantic scene completion (SSC) aims to predict the semantic occupancy and geometry of 3D scenes. Recently, most studies focus on camera‐based approaches due to the rich visual cues of images and the cost‐effectiveness of cameras. However, these methods usually lack efficient fusion and fine‐grained processing of cross‐modal semantic ...
Xianjing Cheng +5 more
wiley +1 more source
An Energy-Efficient LiDAR Receiver Using Time-to-Voltage Converter and SAR ADC in 180 nm CMOS. [PDF]
Seo B, Park SM.
europepmc +1 more source
ABSTRACT Efficient autonomous navigation in complex and unstructured environments without pre‐existing maps remains a significant challenge for mobile robotics. Drawing inspiration from rodent neural architectures, this study proposes a brain‐mimetic mapless navigation framework for mobile robots.
Yishen Liao +3 more
wiley +1 more source
Rapid Low-Cost Production of a Patient-Specific Thumb Orthosis Using Smartphone Light Detection and Ranging (LiDAR) Scanning and Three-Dimensional (3D) Printing. [PDF]
Papadakis K +4 more
europepmc +1 more source

