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Grandzxw's Projects

pixloc icon pixloc

Back to the Feature: Learning Robust Camera Localization from Pixels to Pose (CVPR 2021)

pl-slam icon pl-slam

PL-SLAM: The method is implemented in《PL-SLAM:Real-time Monocular Visual SLAM with Points and Lines》

pl-vins icon pl-vins

PL-VINS: Real-Time Monocular Visual-Inertial SLAM with Point and Line

pl-vio icon pl-vio

monocular visual inertial system with point and line features

pmf icon pmf

Perception-aware multi-sensor fusion for 3D LiDAR semantic segmentation (ICCV 2021)

pwclonet icon pwclonet

Codes for CVPR2021 paper "PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization"

r-vio icon r-vio

Robocentric sliding-window filtering-based visual-inertial odometry

r3live icon r3live

A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package

radarloc icon radarloc

RadarLoc: Large-Scale Topological Radar Localization Using Learned Descriptors

recent-stars-2020 icon recent-stars-2020

:star: SLAM, Pose/Object tracking, Depth/Disparity/Flow Estimation, 3D-graphic, etc. related papers and code

reslam icon reslam

RESLAM: A real-time robust edge-based SLAM system

rgbd_odom icon rgbd_odom

ROS package for robust odometry estimation based on RGBD data

rgbd_svo icon rgbd_svo

An adaptation of semi-direct visual odometry (SVO) for RGB-D cameras

rgbdtools icon rgbdtools

Standalone library for RGB-D image processing.

rgbdvisualodometry icon rgbdvisualodometry

Visual odometry + ROS-Node with an RGBD-Camera base on Ivan Dryanovski et. al "Fast Visual Odometry and Mapping from RGB-D Data" and "An accurate closed-form estimate of ICP's covariance" by A. Censi.

rio icon rio

RIO - Radar Inertial Odometry and Radar based Ego Velocity Estimation

ros_raw_kitti_player icon ros_raw_kitti_player

Ros Package to access and manipulate raw KITTI data, with Camera-LIDAR sensor fusion and Perception Tasks

rp-vio icon rp-vio

[IROS-21] RP-VIO: Robust Plane-based Visual-Inertial Odometry for Dynamic Environments (Code & Dataset)

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