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3d-pointcloud

Papers and Datasets about Point Cloud.

ab3dmot

(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"

avod

Code for 3D object detection for autonomous driving

awesome-cvpr-paper

CVPR 论文收集，包含但不限于2020、2019、2018、2017文章

book

Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）

carla

Open-source simulator for autonomous driving research.

centernet

Object detection, 3D detection, and pose estimation using center point detection:

centerpoint

centertrack

Simultaneous object detection and tracking using center points.

champ

𓃡 Quadruped Robot based on MIT Cheetah I

cheetah-software

cheetah_ros

ros-control interface and basic controllers for quadruped robot

cvpr2020-code

CVPR 2020 论文开源项目合集

cvpr2020-paper-code-interpretation

cvpr2020/cvpr2019／cvpr2018/cvpr2017 papers，极市团队整理

daily-paper-computer-vision

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

gazebo

Open source robotics simulator.

gazebo_tutorials

Tutorials for gazebo

hybrid-artificial-potential-field-a-star-planning

This method takes best of both world. On one hand,it tries to reduce the overall path cost by using A-star and on other hand it reduces the time complexity by adapting real time reactive power from Artificial-Potential method of motion Planning.

kalman

Some Python Implementations of the Kalman Filter

kinect_webots

A project to test the python controller for using Kinect in Webots

mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

multi-object-tracking

A fast object tracking method by using JPDA-IMM-UKF.

multiple-object-tracking-lidar

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

open3d

Open3D: A Modern Library for 3D Data Processing

opencv

Open Source Computer Vision Library

openpcdet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

p2b

P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds

path-planning

本代码的实现包括两个部分： 第一部分： 基于人工势场法的机器人路径规划：随机生成12-15个障碍物，每个障碍物随机占据6-20个栅格，利用该人工势场法编程实现机器人从左下到右上的路径规划。 同时在代码中已实现动态展示的效果。 第二部分： 基于果蝇优化算法的路径规划：根据提供的地图，实现单机器人的全局路径规划。以及拓展部份的双机器人路径规划，两个机器人分别从左下到右上，和从右下到左上。 调用方法： 第一部分：直接运行main.m，有关于调参的部分在main.m开头 第二部分： 单机器人部分：提供了两个地图的示例，test1.m和test2.m 双机器人部分：思路是设置不同的起始点，把单机器人部分连续跑两遍，同时判断不会相撞的条件是计算交叉点处是否有时间差

pcl-learning

🔥PCL（Point Cloud Library）点云库学习记录