Pinned Repositories
04-Heap
最大堆排序算法
CloudCompare
CloudCompare main repository
CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
Eidtor_testing_soft_ware
faster-lio
Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels
FusionLane
The source code of paper FusionLane
HDMapNet
HowToLiveLonger
程序员延寿指南 | A programmer's guide to live longer
IA_LIO_SAM
IA-LIO-SAM is enhanced LIO-SAM using Intensity and Ambient channel from OUSTER LiDAR.
nathaneilsam's Repositories
nathaneilsam/04-Heap
最大堆排序算法
nathaneilsam/CloudCompare
CloudCompare main repository
nathaneilsam/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
nathaneilsam/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
nathaneilsam/Eidtor_testing_soft_ware
nathaneilsam/faster-lio
Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels
nathaneilsam/HDMapNet
nathaneilsam/HowToLiveLonger
程序员延寿指南 | A programmer's guide to live longer
nathaneilsam/IA_LIO_SAM
IA-LIO-SAM is enhanced LIO-SAM using Intensity and Ambient channel from OUSTER LiDAR.
nathaneilsam/LeGO-LOAM
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
nathaneilsam/libOpenDRIVE
Small, lightweight C++ library for handling OpenDRIVE files
nathaneilsam/lidar_localization
A framework of lidar mapping and localization with strong extensibility
nathaneilsam/Lane-Segmentation-Solution-For-BaiduAI-Autonomous-Driving-Competition
Lane Segmentation Solution for Baidu AI PaddlePaddle Autonomous Driving Competition(1st Place)
nathaneilsam/lidar-slam-detection
LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic
nathaneilsam/LIO-SAM
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
nathaneilsam/M-detector
nathaneilsam/mmdetection
OpenMMLab Detection Toolbox and Benchmark
nathaneilsam/MULLS
MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square [ICRA '21]
nathaneilsam/nsfw_data_scraper
Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier
nathaneilsam/octomap
Modifed and improved octomapping to map clean task
nathaneilsam/OpenSceneGraph
OpenSceneGraph git repository
nathaneilsam/P-MapNet
nathaneilsam/patchwork-plusplus
Patchwork++: Fast and robust ground segmentation method for 3D LiDAR scans. @ IROS'22
nathaneilsam/PCAT_open_source
PointCloud Annotation Tools, support to label object bound box, ground, lane and kerb
nathaneilsam/pcl
Point Cloud Library (PCL)
nathaneilsam/ponitMAP
nathaneilsam/segment-geospatial
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
nathaneilsam/SMERF
nathaneilsam/tinyxml2
TinyXML2 is a simple, small, efficient, C++ XML parser that can be easily integrated into other programs.
nathaneilsam/VAD
[ICCV 2023] VAD: Vectorized Scene Representation for Efficient Autonomous Driving