深度学习在图像和点云融合方面的综述性文章,后续的工作准备用训练的方法替换融合中的模块,所以本周找了这篇文章进行阅读。 《Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review…
In the task of autonomous driving perception scenarios, multi-sensor fusion is gradually becoming the current mainstream trend. At this stage, researchers use multimodal fusion to leverage information and ultimately improve target detection efficiency. Most of the current research focus on the fusion of...
文章提出，自动驾驶中图像和点云融合是一个关键课题，但缺少系统性总结。作者通过测试流行方法在公开数据集上的表现，发现学术界与工业界之间存在显著差距，并指出端到端方法在未知环境检测和传感器未定义情况下的融合问题，提出研究趋势。在内容部分，文章简单回顾深度学习在图像和点云应用，介绍了图像与点云...
However, so far there has been no critical review that focuses on deep-learning-based camera-LiDAR fusion methods. To bridge this gap and motivate future research, this paper devotes to review recent deep-learning-based data fusion approaches that leverage both image and point cloud. This review...
The point cloud of the laser scanner is a rich source of information for high level tasks in computer vision such as traffic understanding. However, cost-effective laser scanners provide noisy and low resolution point cloud and they are prone to systematic errors. In this paper, we propose two...
相比之下,pseudo-LiDAR虽然不是特别精确,但是比雷达点云要密集的多,且具备RGB颜色信息。因此,将两者进行融合 (互补),会是一个比较有意思的工作。这样比传统的RGB image & LiDAR point cloud fusion方式,比如MV3D, AVOD等,更加易于神经网络感知。 图六:Illustration of Point Cloud Obtained by LiDAR (yellow) ...
Infusionsoft Inoreader inQuba Journey Insightly Instagram Basic Display (Independent Publisher) Instapaper Instatus (Independent Publisher) Integrable PDF Integration Toolbox [已弃用] intelliHR Intentional Data Sources Intercom iObeya IP2LOCATION (Independent Publisher) IP2WHOIS (Independent Publisher) IPQS...
Nodefusion Portal Nosco Notifications Notiivy Browser Notifications Notion (Independent Publisher) nps.today NREL (Independent Publisher) NumlookupAPI (Independent Publisher) nunify Objective Connect Occuspace Office 365 Groups Office 365 Groups Mail Office 365 Outlook Office 365 Users Office 365 Video [...
As a preparation work, the raw point cloud data are used to generate a range image. Edge points in the range image, points with range, are converted to 3D point type with the application of the Point Cloud Library (PCL) to define the edges in the 3D point cloud. 展开 关键词:...
We will then estimate the accuracy of point cloud alignment using this approach, and discuss about the applications of this method in indoor modeling of buildings. 展开 关键词: Microelectromechanical systems Modeling Sensors Buildings Clouds 被引量: 3 ...