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ccm_slam

CCM-SLAM: Robust and Efficient Centralized Collaborative Monocular SLAM for Robotic Teams

chinese-ocr

[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别

classical-slam

一些经典的SLAM算法学习并注释的版本

co-fusion

Co-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple Objects

code_snipe

collection of useful code

combine-gnss-uwb-laser-odom-imu-localization

gnss,uwb,激光，里程计，imu融合定位

continuous-cbs

Continuous CBS - a modification of conflict based search algorithm, that allows to perform actions (move, wait) of arbitrary duration. Timeline is not discretized, i.e. is continuous.

coordination_oru_ros

Multi-robot coordination package based on coordination_oru with ROS support

core

Cloud Robotics Core: Kubernetes, Federation, App Management

coslam

CoSLAM is a visual SLAM software that aims to use multiple freely moving cameras to simultaneously compute their egomotion and the 3D map of the surrounding scenes in a highly dynamic environment.

coslam_for_target_following

costmap_prohibition_layer

ROS-Package that implements a costmap layer to add prohibited areas to the costmap-2D by a user configuration.

cpp_robotics

C++ sample codes for robotics algorithms.

crowdnav

[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

crowdsourcing_visual_positioning_system

System of recording data, mapping, visualization and positioning based on mobile phone sensors

cscdnet

Correlated Siamese Change Detection Network (CSCDNet)

cube_slam

CubeSLAM: Monocular 3D Object Detection and SLAM

cvpr2020-code

CVPR 2020 论文开源项目合集

darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-for-tracking-and-detection

Collection of papers and other resources for object tracking and detection using deep learning

deep-learning-interview-book

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

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[email protected] 版权所有，违权必究 Tan 2018.06

derail-fetchit-public

Public code for the FetchIt! challenge: https://opensource.fetchrobotics.com/competition

door-slam

Distributed, Online, and Outlier Resilient SLAM for Robotic Teams

double_laser_mapping_location

ros1 gazebo cartographer amcl

dre_slam

RGB-D Encoder SLAM for a Differential-Drive Robot in Dynamic Environments

ds-slam

dskcf_cpp

dstarlite

Repository provides an implementation of D*Lite algorithm adapted for single-shot grid-based 2D environment.