Results 61 to 70 of about 834,631 (325)
Squeezing turbulence statistics out of a pulsed Doppler lidar [PDF]
Atmospheric Measurement TechniquesAccurate estimation of second-order turbulence statistics using pulsed Doppler lidar has been a challenge for a long time, mainly due to the negative influence of probe volume averaging.
M. Manami +5 more
doaj +1 more source
LiDAR-Guided Cross-Attention Fusion for Hyperspectral Band Selection and Image Classification [PDF]
IEEE Transactions on Geoscience and Remote SensingThe fusion of hyperspectral and light detection and range (LiDAR) data has been an active research topic. Existing fusion methods have ignored the high-dimensionality and redundancy challenges in hyperspectral images (HSIs), despite that band selection ...
Judy X. Yang +4 more
semanticscholar +1 more source
Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving [PDF]
Computer Vision and Pattern Recognition, 2018 3D object detection is an essential task in autonomous driving. Recent techniques excel with highly accurate detection rates, provided the 3D input data is obtained from precise but expensive LiDAR technology.
Yan Wang +5 more
semanticscholar +1 more source
Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving [PDF]
Conference on Computer and Communications Security, 2019 In Autonomous Vehicles (AVs), one fundamental pillar is perception,which leverages sensors like cameras and LiDARs (Light Detection and Ranging) to understand the driving environment.
Yulong Cao +8 more
semanticscholar +1 more source
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
Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion [PDF]
AAAI Conference on Artificial Intelligence, 2020 LiDAR point cloud analysis is a core task for 3D computer vision, especially for autonomous driving. However, due to the severe sparsity and noise interference in the single sweep LiDAR point cloud, the accurate semantic segmentation is non-trivial to ...
Xu Yan +6 more
semanticscholar +1 more source
Advanced Materials, EarlyView.This article explores how the integration of a thin shell, combined with optimized surface chemistry, enables the design of photodiodes based on short‐wave infrared HgTe nanocrystals. These photodiodes achieve an open‐circuit voltage greater than half the optical bandgap, which drastically reduces dark current. The article also explores the integration
Albin Colle +17 more
wiley +1 more source
Improving wind speed availability of a six-beam Doppler lidar [PDF]
Wind Energy ScienceA simple adaptive variant of the Doppler beam swinging (DBS) method is presented to enhance the availability of wind velocity measurements in profiling lidars.
M. Manami +5 more
doaj +1 more source
Advanced Materials Technologies, EarlyView.Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu +8 more
wiley +1 more source
Entangling capacities of noisy two-qubit Hamiltonians
, 2004 We show that intrinsic fluctuations in system control parameters impose limits on the ability of two-qubit (exchange) Hamiltonians to generate entanglement starting from mixed initial states. We find three classes for Gaussian and Laplacian fluctuations.
Bandyopadhyay, Somshubhro +1 more
core +1 more source