Point-SLAM: Dense Neural Point Cloud-based SLAM. Contribute to ChenHoy/Point-SLAM development by creating an account on GitHub.
链接:A method of dense point cloud SLAM based on improved YOLOV8 and fused with ORB-SLAM3 to cope with dynamic environments - ScienceDirect 一. 研究动机 这篇文章的研究动机主要是为了应对在动态环境中实现准确且稳健的视觉SLA的挑战。随着社会的发展和技术的进步,智能机器人在各个领域得到了广泛应用,而...
In this paper, we propose a method based on improved YOLOv8 fused with ORB-SLAM3 to address dense point cloud SLAM in dynamic environments. Our proposed method successfully integrates real-time object detection and image segmentation technologies of YOLOv8 into the ORB-SLAM3 framework, achieving ...
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Contribute to CXavireH/ORB_SLAM3_with_dense_pointcloud development by creating an account on GitHub.
Intensity correlation was conventionally employed for the matching, but in recent years, a learning-based matching method using Deep Neural Network (DNN) has been proposed, providing improved accuracy13,14,15. However, a stereo laparoscope requires two optical systems incorporated into the tip of ...
英文摘要:LiDAR novel view synthesis (NVS) has emerged as a novel task within LiDAR simulation, offering valuable simulated point cloud data from novel viewpoints to aid in autonomous driving systems. However, existing LiDAR NVS methods typically rely on neural radiance fields (NeRF) as their 3D ...
Point cloud Game engine VR 1. Introduction Methods for producing dense, colored point clouds are increasingly available. Three-dimensional measuring and reconstruction can be achieved with image-based techniques (e.g., Toschi et al., 2017, Micheletti et al., 2015), laser scanning, or a number...
Generate dense point cloud based on ORB-SLAM, and build indoor navigation map using OctoMap. By adding a point cloud viewer, we can visualize dense point cloud during simultaneous localization and mapping. We also provide some useful tools in tools/*, such as binary dictionary conversion and oc...
point-based implicit neural map. By enforcing geometric consistency between these fields, we achieve mutual improvements by exploiting both modalities. We devise a LiDAR-visual SLAM system called PINGS using the proposed map representation and evaluate it on several challenging large - scale datasets. ...