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a-loam

Advanced implementation of LOAM

ab3dmot

Official Python Implementation for "A Baseline for 3D Multi-Object Tracking", In Submission

adaptive_clustering

A lightweight and accurate point cloud clustering method

adpclust

Fast Clustering Using Adaptive Density Peak Detection

apollo

An open autonomous driving platform

apollo_perception_ros

Object detection / tracking / fusion based on Apollo r3.0.0 perception module in ROS

aria2

突破百度云限速合集，另外附带Baidu-Go、Tampermonkey、Proxyee-down教程。从此云端女友从不断线，有了这个它，忘掉那个她!

autopilot-tool

This is a tool for software engineers to view,record and analyse data(sensor data and module data) In the process of software development.

bilibili_project

和bilibili教学视频相关的一些源代码

cartographer

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

common_lib

The common library for other Lidar Perception packages.

dbscan

C++ implementation of DBSCAN clustering algorithm

depth_clustering

:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.

design_patterns

图说设计模式

euclidean_cluster

3D lidar Point cloud segmentation

frustum-pointnets

Frustum PointNets for 3D Object Detection from RGB-D Data

google-access-helper

谷歌访问助手破解版

hdl_people_tracking

Real-time people tracking using a 3D LIDAR

javiewer

更优雅的驾车体验

kalman

Some Python Implementations of the Kalman Filter

kaolin

A PyTorch Library for Accelerating 3D Deep Learning Research

kitti_object_vis

KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )

lidardetection

Implementation of euclidean clustering for lidar sensors

lidarod_learn

loam_velodyne

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

loam_velodyne-1

Laser Odometry And Mapping (LOAM) SLAM ROS package for 3D Velodyne VLP-16 laser scanner

maotaiyyds

酱香科技YYDS

models

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

multiple-object-tracking-lidar

C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud

mx-rcnn

Parallel Faster R-CNN implementation with MXNet.