Lists (5)
Stars
Generative Sparse Detection Networks for 3D Single-shot Object Detection
Group-Free 3D Object Detection via Transformers
Point-NeRF: Point-based Neural Radiance Fields
ORB-SLAM2 simple point cloud and octomap mapping with ROS
Use ORB-SLAM2 to build a metricmap and localization, fcaf3d to detect 3D objects, and build a tracker database to manage the objects detected.
Use ORB-SLAM2 to build a metricmap and localization, fcaf3d to detect 3D objects, and build a tracker database to manage the objects detected.
OpenMMLab's next-generation platform for general 3D object detection.
中国大学MOOC《机器人操作系统入门》代码示例 ROS tutorial
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)
code for "DeFlowSLAM: Self-Supervised Scene Motion Decomposition for Dynamic Dense SLAM"
[ICRA'23] DytanVO: Visual Odometry in Dynamic Environments
This is the official repo for ABLE-NeRF, an attention based/ transformer novel view synthesis work.
3D-Aware Multi-Class Image-to-Image Translation with NeRFs (CVPR 2023)
A novel paradigm for collecting and generating stereo training data using neural rendering
[CVPR'23] JacobiNeRF: NeRF Shaping with Mutual Information Gradient
NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fields. https://arxiv.org/abs/2210.13641 + Sigma-Fusion: Probabilistic Volumetric Fusion for Dense Monocular SLAM https://arxiv.org/ab…
Official implementation of Semantic SuperPoint (LARS-2022): https://arxiv.org/abs/2211.01098
STDyn-SLAM: A Stereo Vision and Semantic Segmentation Approach for SLAM in Dynamic Outdoor Environments
DS-SLAM: Real-Time Dynamic SLAM Using Semantic Segmentation Methods
SIVO - Semantically Informed Visual Odometry and Mapping. Integrated Bayesian semantic segmentation with ORBSLAM_2 to select better features for Visual SLAM.
recognize and localize an object in 3D Point Cloud scene using VFH - SVMs based method and 3D-CNNs method
PointCloudTools是一款在Windows平台基于VS2017、Qt5.9.5、PCL1.8.1、VTK8.0.0源码编译开发的专门处理点云（.pcd、.ply、.obj等格式）文件的可视化工具。 该工具点云可视化使用的是vtk8.0.0编译生成的QVTKWidget窗口控件，使用PCL可以对点云进行滤波(filter)、特征提取(features)、关键点(keypoint)、 …