ORB-SLAM2: an Open-Source SLAM for Monocular, Stereo and RGB-D Cameras

Raúl Mur-Artal and Juan D. Tardós. "ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras". ArXiv preprint arXiv 1610.06475, 2016.
Pdf: arxiv.org/pdf/..., Code: github.com/rau...

[@nicolasperez4292]

how are you making the dense pointcloud reconstruction?

[@jumpjack2]

Does it work with a 235°x360° superfisheye camera?

[@genuinemagic777]

Hey , how do I use you code with rviz ?
I got it working Vai subscribed to image topic , but now how will I get it to publish Odom and pose ?

[@bokaroka4481]

What equipment do i need to make dense point cloud like this?

[@moremagic1331]

Very Nice!!!

[@basithAA]

whats type and brand of camera did you use?

[@shelby6512]

You are legend

[@mjp5110]

very nice!!!

[@shuailiu3720]

Excellent products, could I have more detail or open sources? I really want to learn and want to DIY something by using this! Thank you!

[@xli4n56]

开源的东西你还搜索不到么。。。google ORB-SLAM2

[@bazmohammad4217]

Hello, I am doing MCS(Master in Computer Science) i am working or ORB-SLAM2 but i am stucked in Camera Calibration How to do it can you please help me to resolve this problem

[@viyh_]

its been 3 yrs but which camera params you needed😅

[@HungPham-pg6oq]

10.9 inch

[@marktadlock5428]

No information with video makes it quite useless

[@leahcornelius]

A quick google gives you plenty. Orb slam2 & 3 both have public GitHub repositories with open source implementations in cpp. I’ve found a community fork of orb slam3 called morb slam better refined and would recommend starting with that. Depending on your experience with compiling c projects it can take a couple of days to get your environment set up properly so it can compile and run. But I’ve got orb slam 2 & 3 working fine in Ubuntu 20.04 and 22

[@charliebaby7065]

this is good work, but it would be better work if you could just port our rewite this into javascript for me.just send me and email when your ready and i'll let you know too. awesome. thanks. thanks(oh, but lets try harder this time. i will help)