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apollo

An open autonomous driving platform

attentional-pointnet

Attentional-PointNet is Deep-Neural-Network architecture for 3D object detection in point clouds

cartographer

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

cartographer-1

关于谷歌slam地图库cartographer的源码注释

cartographer_ros

Provides ROS integration for Cartographer.

complex-yolo

Complex-YOLO: Real-time 3D Object Detection on Point Clouds pytorch Darknet

complex-yolov3

PyTorch implementation of Complex-YOLO paper with YoloV3

fusion_localization

clone of a project on apollo.

hdl_graph_slam

3D LIDAR-based Graph SLAM

lanenet-lane-detection

Implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

lidar_slam_3d

3d lidar slam package.

loam_noted

loam code noted in Chinese（loam中文注解版）

minkowskiengine

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

pointrcnn

PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.

simple_net

A simple deep neural network implemented in C++，based with OpenCV Mat matrix class

sparse-coding

Parallel (asynchronous) sparse coding implementation for obtaining sparse overcomplete word vectors

sparse-coding-1

tanet

The AAAI-2020 Paper(Oral):"TANet: Robust 3D Object Detection from Point Clouds with Triple Attention"

voxelnet

This is an unofficial inplementation of VoxelNet in TensorFlow.

voxelnetros

implement the VoxelNet with ROS, using Kitti data to test