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perception-slam's Projects

imusim icon imusim

IMUSim - see http://www.imusim.org/

infinitam icon infinitam

An extended infinitam version with a ROS node

isam icon isam

A copy of [iSAM](https://svn.csail.mit.edu/isam/) compiles on windows

kinfu icon kinfu

Fuses depth frames into a TSDF volume using GPU integration (with CUDA)

kmeans-coreset icon kmeans-coreset

Heuristic C++ implementation of the k-means coreset construction by Feldman, Schmidt and Sohler.

laser_slam icon laser_slam

This package provides an end-to-end system to laser-based graph SLAM using laser point clouds.

learnopengl icon learnopengl

Code repository of all tutorials found at http://learnopengl.com

libigl icon libigl

Simple C++ geometry processing library.

libpointmatcher icon libpointmatcher

An "Iterative Closest Point" library for 2-D/3-D mapping in robotic

librealsense icon librealsense

:camera: Cross-platform camera capture for Intel® RealSense™ F200, SR300 and R200

librekinect icon librekinect

Depth data from a kinect sensor! Small and fast kernel driver. Also for embedded devices like the raspberry pi!

loam_continuous icon loam_continuous

loam SLAM with continuous scanning 2D laser, modified to work under ROS indigo and catkin

loam_velodyne icon loam_velodyne

Laser Odometry And Mapping (LOAM) SLAM ROS package for 3D Velodyne VLP-16 laser scanner

loam_ws icon loam_ws

from https://github.com/daobilige-su/loam_continuous

map2dfusion icon map2dfusion

This is an open-source implementation of paper: Real-time Incremental UAV Image Mosaicing based on Monocular SLAM.

marvin icon marvin

Marvin: A Minimalist GPU-only N-Dimensional ConvNets Framework

mavmap icon mavmap

Structure-from-Motion for MAV image sequences

mcptam icon mcptam

MCPTAM is a set of ROS nodes for running Real-time 3D Visual Simultaneous Localization and Mapping (SLAM) using Multi-Camera Clusters. It includes tools for calibrating both the intrinsic and extrinsic parameters of the individual cameras within the rigid camera rig.

mnc icon mnc

Instance-aware Semantic Segmentation via Multi-task Network Cascades

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