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mesh_navigation

ROS Mesh Navigation Bundle

minisam

A general and flexible factor graph non-linear least square optimization framework

mmdetection

OpenMMLab Detection Toolbox and Benchmark

monodepth2

[ICCV 2019] Monocular depth estimation from a single image

motion-rcnn

Motion R-CNN: Mask R-CNN with support for 3D motion estimation (prototype)

motionplanning

Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)

mpcc

Model Predictive Contouring Controller (MPCC) for Autonomous Racing

msckf_mono

Monocular MSCKF ROS Node

msckf_vio

Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight

multi-camera-live-object-tracking

Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.

netvlad

NetVLAD: CNN architecture for weakly supervised place recognition

nocode

The best way to write secure and reliable applications. Write nothing; deploy nowhere.

omnimapper

ompl

The Open Motion Planning Library (OMPL)

openmvs

open Multi-View Stereo reconstruction library

openvslam

OpenVSLAM: A Versatile Visual SLAM Framework

open_vins

An open source platform for visual-inertial navigation research.

orb_slam3-rgbd-inertial

RGBD-inertial mode and its ROS interface was added to ORB_SLAM3. Two ROS interfaces Mono_inertial and Stereo_inertial were provided. Modified the loading vocabulary in a faster binary way.

ov2slam

OV²SLAM is a Fully Online and Versatile Visual SLAM for Real-Time Applications

overlapnet

OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)

phd-bibliography

References on Optimal Control, Reinforcement Learning and Motion Planning

pose_ekf

Extented Kalman Filter for 6D pose estimation using gps, imu, magnetometer and sonar sensor.

pseudo_lidar

(CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

pvio

Robust and Efficient Visual-Inertial Odometry with Multi-plane Priors

pythonrobotics

Python sample codes for robotics algorithms.

r-vio

Robocentric Visual-Inertial Odometry

r2live

R2LIVE is a robust, real-time tightly-coupled multi-sensor fusion framework, which fuses the measurement from the LiDAR, inertial sensor, visual camera to achieve robust, accurate state estimation.

recent_slam_research

Track Advancement of SLAM 跟踪SLAM前沿动态【IROS 2019 SLAM updated】

remove_ros_vins

remove ROS from VINS

rep_al-3d-lawn-mower

Code and Other for the ReP_AL Lawn Mower