The addition of camera sensors enables the usage of visual data for navigation tasks such as lane tracking and obstacle avoidance, localization tasks such as motion and pose estimation, and for general mapping and path planning. The proposed approach in this paper allows camera systems to work in...
A deep learning approach for motion segment estimation for pipe leak detection robotThe trajectory motion of a robot can be a valuable information to estimate the localization of an autonomous robotic system, especially in a very dynamic but structurally-known environments like water pipes where the ...
关键词: spherical camera optical flow convolutional neural network motion estimation DOI: 10.11499/sicejl.59.425 年份: 2020 收藏 引用 批量引用 报错 分享 全部来源 求助全文 jstage.jst.go.jp 相似文献来源期刊 Journal of The Society of Instrument and Control Engineers 2020/06/10 站内活动 ...
Deep learning based keypoint rejection system for underwater visual ego-motion estimation ? keypointsmonocular SLAMVSLAMVisual OdometryVOunderwater navigationunderwater SLAMnoise filteringMost visual odometry (VO) and visual simultaneous localization and mapping (VSLAM) systems rely heavily on robust key...
Recently Deep Learning techniques are making remarkable advances in the field of image processing, problems like low-speed performance can be overcome using DL-based methods for optical flow. Block-based motion estimation uses block-matching algorithms (BMAs). Here the current frame of the video is...
In recent years, removal of motion blur in photographs has seen impressive progress in the hands of deep lea... G Carbajal,P Vitoria,M Delbracio,... 被引量: 0发表: 2021年 Motion-blur Kernel Size Estimation via Learning a Convolutional Neural Network Deblurring is to restore a latent ...
Discriminative representation learning with supervised auto-encoder. Neur. Proc. Lett. https://doi.org/10.1007/s11063-018-9828-2 (2018). Zaghbani, S., Boujneh, N. & Bouhlel, M. S. Age estimation using deep learning. Comp. Elec. Eng. 68, 337–347 (2018). Article Google Scholar ...
4, 5 Such motion correction algorithms (MCAs) generally consist of one motion estimation and one compensation step. More recently, deep learning techniques were also introduced to the development of MCAs, where favorable motion correction can be obtained with less computing power once the model has...
autonomous-drivinguncertainty-estimationtrajectory-predictionmap-estimationmotion-predictioncvpr2024 UpdatedJul 25, 2024 Python Code for our CVPR 2019 work. deep-learningrepresentation-learningunsupervised-learningself-supervisedvideo-generationself-supervised-learningmotion-predictioninteractive-annotation ...
We use optical flow algorithm for motion estimation and motion compensation as a preprocessing step. Then, we employ a novel deep residual convolutional neural network (CNN) to predict a high-resolution image using multiple motion compensated observations. The new residual CNN model preserves the low...