Rogeerrr's Stars
zhixy/SolveAXXB
A C++ library to solve equation AX=XB, which is known as been widely used in hand-eye calibration for robotics
Smorodov/Multitarget-tracker
Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.
TixiaoShan/LIO-SAM
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
ApolloAuto/apollo
An open autonomous driving platform
RoboSense-LiDAR/rslidar_sdk
RoboSense LiDAR SDK for ROS & ROS2
lorenwel/linefit_ground_segmentation
Ground Segmentation from Lidar Point Clouds
zeal-up/PointcloudClustering
Compare the time cost of vanilla EuclideanClusterExtraction in pcl and Fast Euclidean Clustering algorithm
KTH-RPL/DynamicMap_Benchmark
The First Dynamic Map Removal Benchmark | Included 8 SOTA methods | Continous updating
amslabtech/dynamic_cloud_detector
ROS package for dividing point cloud into "dynamic" and "static"
3DTK/3DTK
!!! TEST ONLY !!! DO NOT USE !!!
PRBonn/LiDAR-MOS
(LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)
xinge008/Cylinder3D
Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)
PRBonn/depth_clustering
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
williamhyin/SFND_Lidar_Obstacle_Detection
SFND_Lidar_Obstacle_Detection
GDUT-Kyle/MULTI_LIDARs_CALIBRATE
A Simple Multi-Livox External Parameter Calibration Method
hustvl/VAD
[ICCV 2023] VAD: Vectorized Scene Representation for Efficient Autonomous Driving
amusi/CVPR2024-Papers-with-Code
CVPR 2024 论文和开源项目合集
manymuch/CAMA
Official Implementation of A Vision-Centric Approach for Static Map Element Annotation
hustvl/MapTR
[ICLR'23 Spotlight & IJCV'24] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
hustvl/VMA
A general map auto annotation framework based on MapTR, with high flexibility in terms of spatial scale and element type
YuePanEdward/PointCloudSegmentation
A point cloud segmentation algorithm based on clustering analysis
YuePanEdward/RoadMarkingExtraction
🛣️ automatic extraction of road markings from MLS or ALS point cloud [ISPRS-A' 19]
Lukas-Justen/Lane-Marking-Detection
This is the final project for the Geospatial Vision and Visualization class at Northwestern University. The goal of the project is detecting the lane marking for a small LIDAR point cloud. Therefore, we cannot use a Deep Learning algorithm that learns to identify the lane markings by looking at a vast amount of data. Instead we will need to build a system that is able to identify the marking just by looking at the intensity value within the point cloud.
TommyZihao/MMPretrain_Tutorials
Jupyter notebook tutorials for MMPretrain
open-mmlab/mmdetection
OpenMMLab Detection Toolbox and Benchmark
I2RDL2/ASTAR-3D
An Autonomous Driving Dataset from I2R, A*STAR
MIT-SPARK/Kimera-Multi-Data
A large-scale multi-robot dataset for multi-robot SLAM
binary-husky/gpt_academic
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。
mayooear/gpt4-pdf-chatbot-langchain
GPT4 & LangChain Chatbot for large PDF docs
Tangshitao/Dense-Scene-Matching
Learning Camera Localization via Dense Scene Matching, CVPR2021