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vins-mono-qpep icon vins-mono-qpep

QPEP (Quadratic Pose Estimation Problems) Enhanced VINS-Mono SLAM System

vins-rgbd-fast icon vins-rgbd-fast

VINS-RGBD-FAST is a SLAM system based on VINS-RGBD. We do some refinements to accelerate the system's performance in resource-constrained embedded platforms, like HUAWEI Atlas 200DK, Raspberry Pi.

vio icon vio

深蓝学院 手写VIO

vio-doc icon vio-doc

主流VIO论文推导及代码解析

vio-mono icon vio-mono

A simple vio-mono with two backend solver (scba and rootba).

vitamin-e icon vitamin-e

unofficial attempt to reproduce results from VITAMIN-E: VIsual Tracking And MappINg with Extremely Dense Feature Points

viw-fusion icon viw-fusion

Visual-inertial-wheel fusion odometry, better performance in scenes with drastic changes in light

vo-slam-review icon vo-slam-review

SLAM is mainly divided into two parts: the front end and the back end. The front end is the visual odometer (VO), which roughly estimates the motion of the camera based on the information of adjacent images and provides a good initial value for the back end.The implementation methods of VO can be divided into two categories according to whether features are extracted or not: feature point-based methods, and direct methods without feature points. VO based on feature points is stable and insensitive to illumination and dynamic objects

vslam icon vslam

Basic algorithms for vslam.

xiaomi_bridge icon xiaomi_bridge

This package bridges the internal communication of a Xiaomi Vacuum Cleaner into ROS messages, provides an URDF model and contains configuration files for the navigation stack.

xivo icon xivo

X Inertial-aided Visual Odometry

yolo-v5 icon yolo-v5

:art: Pytorch YOLO v5 训练自己的数据集超详细教程!!! :art: (提供PDF训练教程下载)

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