Results 51 to 60 of about 834,631 (325)

Point Density-Aware Voxels for LiDAR 3D Object Detection [PDF]

Computer Vision and Pattern Recognition, 2022
LiDAR has become one of the primary 3D object detection sensors in autonomous driving. However, LiDAR's diverging point pattern with increasing distance results in a non-uniform sampled point cloud ill-suited to discretized volumetric feature extraction.
Jordan S. K. Hu, Tianshu Kuai, Steven L. Waslander   +2 more
semanticscholar   +1 more source

Dither Cavity Length Controller with Iodine Locking

EPJ Web of Conferences, 2016
A cavity length controller for a seeded Q-switched frequency doubled Nd:YAG laser is constructed. The cavity length controller uses a piezo-mirror dither voltage to find the optimum length for the seeded cavity.
Lawson Marty, Eloranta Ed
doaj   +1 more source

AN OBJECT-BASED WORKFLOW DEVELOPED TO EXTRACT AQUACULTURE PONDS FROM AIRBORNE LIDAR DATA: A TEST CASE IN CENTRAL VISAYAS, PHILIPPINES [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
Traditional remote sensing approach for mapping aquaculture ponds typically involves the use of aerial photography and high resolution images. The current study demonstrates the use of object-based image processing and analyses of LiDAR-data-generated ...
R. A. Loberternos, W. P. Porpetcho, J. C. A. Graciosa, R. R. Violanda, R. R. Violanda, A. G. Diola, A. G. Diola, D. T. Dy, D. T. Dy, R. E. S. Otadoy, R. E. S. Otadoy   +10 more
doaj   +1 more source

Towards Realistic Scene Generation with LiDAR Diffusion Models [PDF]

Computer Vision and Pattern Recognition
Diffusion models (DMs) excel in photorealistic image synthesis, but their adaptation to LiDAR scene generation poses a substantial hurdle. This is primarily because DMs operating in the point space struggle to preserve the curve-like patterns and 3D ...
Haoxi Ran, V. Guizilini, Yue Wang
semanticscholar   +1 more source

NeRF-LOAM: Neural Implicit Representation for Large-Scale Incremental LiDAR Odometry and Mapping [PDF]

IEEE International Conference on Computer Vision, 2023
Simultaneously odometry and mapping using LiDAR data is an important task for mobile systems to achieve full autonomy in large-scale environments.
Junyuan Deng, Xieyuanli Chen, Songpengcheng Xia, Zhen Sun, Guoqing Liu, Wenxian Yu, Ling Pei   +6 more
semanticscholar   +1 more source

URBAN TREE CLASSIFICATION USING FULL-WAVEFORM AIRBORNE LASER SCANNING [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
Vegetation mapping in urban environments plays an important role in biological research and urban management. Airborne laser scanning provides detailed 3D geodata, which allows to classify single trees into different taxa.
Zs. Koma, K. Koenig, B. Höfle
doaj   +1 more source

CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection [PDF]

IEEE/RJS International Conference on Intelligent RObots and Systems, 2020
There have been significant advances in neural networks for both 3D object detection using LiDAR and 2D object detection using video. However, it has been surprisingly difficult to train networks to effectively use both modalities in a way that ...
Su Pang, Daniel Morris, H. Radha
semanticscholar   +1 more source

Climate change vulnerability assessment of the coastal resources in Moalboal, Cebu, Central Philippines

Annals of Tropical Research, 2021
The municipality of Moalboal (Cebu, Central Philippines) falls under Cluster XI (coastal and marine areas of the south Sulu Sea are most prone to sea level rise) in the climate-ocean hazard typology.
Annie G. Diola, Wenifel P. Perpetcho, Juan Carlos A. Graciosa, Glacy Dee B. Pantanosas, Rhys H. Montecillo, Shena Mae M. Flores, Renante R. Violanda, Roland Emerito S. Otadoy, Danilo T. Dy   +8 more
doaj   +1 more source

Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review [PDF]

IEEE Transactions on Neural Networks and Learning Systems, 2020
Recently, the advancement of deep learning (DL) in discriminative feature learning from 3-D LiDAR data has led to rapid development in the field of autonomous driving.
Ying Li, Lingfei Ma, Zilong Zhong, Fei Liu, Dongpu Cao, Jonathan Li, M. Chapman   +6 more
semanticscholar   +1 more source

OverlapTransformer: An Efficient and Yaw-Angle-Invariant Transformer Network for LiDAR-Based Place Recognition [PDF]

IEEE Robotics and Automation Letters, 2022
Place recognition is an important capability for autonomously navigating vehicles operating in complex environments and under changing conditions. It is a key component for tasks such as loop closing in SLAM or global localization.
Junyi Ma, Jun Zhang, Jintao Xu, R. Ai, Weihao Gu, Xieyuanli Chen   +5 more
semanticscholar   +1 more source