yxxzhuzhuxia
Follow
Stars
Pytorch implementation of NetVlad including training on Pittsburgh.
Benchmarking and evaluation framework for place recognition methods, featuring SuperPoint+SuperGlue, LoGG3D-Net, Scan Context, DBoW2, MixVPR, STD
Conversion from ROSBAG (.bag) to image (.png) and points cloud (.bin), including ROSBAG decoding, pcd2bin and file directory extraction.
OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)
Ground Truth of KITTI dataset (odometry benchmark) for loop closure detection or visual place recognition
chen2020iros: Learning an Overlap-based Observation Model for 3D LiDAR Localization.
[RAL/IROS 2022] OverlapTransformer: An Efficient and Yaw-Angle-Invariant Transformer Network for LiDAR-Based Place Recognition.
Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
This is an implement of Fast Segmentation of 3D Point Clouds for Ground Vehicles
Efficient Online Segmentation of Ground&Wall Points for Multi-line Spinning LiDARs. //在线分割激光点云中的地面点和墙面点。
fusion_pointclouds 主要目的为Ubuntu环境下无人车多激光雷达标定之后， 将多个激光雷达点云话题/坐标系 通过PCL (Point Cloud Library)融合为 一个ros点云话题，以便于后期点云地面分割与地面处理等等。
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
Calibrate extrinsic parameters of multi-lidars, based on ICP or NDT, etc.
This repo is modified based on LIO_SAM, which remove the feature extraction module and makes it easier to adapt your sensor.
Generate color pointcloud using the messages from one camera and one lidar
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
A Simple PointPillars PyTorch Implementation for 3D LiDAR(KITTI) Detection.
A project demonstrating how to use CUDA-PointPillars to deal with cloud points data from lidar.
SSL_LIO: Solid-State LiDAR based LiDAR-Inertial SLAM
SSL_SLAM2: Lightweight 3-D Localization and Mapping for Solid-State LiDAR (mapping and localization separated) ICRA 2021
YOLO ROS: Real-Time Object Detection for ROS