d-vo / collab_orb_slam2 Goto Github PK
View Code? Open in Web Editor NEWCollaborative visual SLAM pipeline as used in Collaborative Visual SLAM using Compressed Feature Exchange (RAL 2018).
Home Page: https://d-vo.github.io/RAL18/
License: Other
Collaborative visual SLAM pipeline as used in Collaborative Visual SLAM using Compressed Feature Exchange (RAL 2018).
Home Page: https://d-vo.github.io/RAL18/
License: Other
when I running the examples provided by you. The problem occurred:
gc@gc-Y7000:~/collab_orb_slam2$ ./Examples/ROS/compression/KittiServerDepth -v Vocabulary/voc_k10_l_5_N_100000.txt -c Vocabulary/stats_8b.vstats -s Examples/ROS/compression/
Loading vocabulary from Vocabulary/voc_k10_l_5_N_100000.txt
Loading statistics from Vocabulary/stats_8b.vstats
ORB-SLAM2 Copyright (C) 2014-2016 Raul Mur-Artal, University of Zaragoza.
This program comes with ABSOLUTELY NO WARRANTY;
This is free software, and you are welcome to redistribute it
under certain conditions. See LICENSE.txt.
Loading ORB Vocabulary. This could take a while...
Vocabulary loaded!
Map merging started
Framebuffer with requested attributes not available. Using available framebuffer. You may see visual artifacts.Framebuffer with requested attributes not available. Using available framebuffer. You may see visual artifacts.
Hello,
Thank you for exploring new avenues for SLAM techniques.
Would you have a version of the repository that keeps the commit history since ORB SLAM2?
It would be nice to have the detailed diff for reference.
Many thanks
Thanks for sharing your code !
I've (quickly) read the article and the code and i didn't find a mention for recovering the Real Scale.
I'm wondering if it is possible in case of multiple monocular cameras.
Many thanks in advance.
Finished loading image 192 Finished loading image 256 Finished loading image 320 Finished loading image 384 Finished loading image 448 terminate called after throwing an instance of 'std::bad_alloc' what(): std::bad_alloc
Hi! Thanks so much for the bravo work!
I am trying to utilize this repo on my server however I got the segmentation error while running the following Agent commands:
./Examples/ROS/compression/KittiAgentStereo -v Vocabulary/voc_k10_l_5_N_100000.txt -c Vocabulary/stats_8b.vstats -i /home/xxx/dataset/kitti/data_odometry_gray/sequences/00 -r 00 -s Examples/ROS/compression/KITTIX.yaml
There are no error messages shown here so I am wondering do you know what the reason might be? As I am running the Server commands there's no such error. BTW what's the input dataset format should be, please? If the wrong structure of the input dataset would cause this error?
Thanks in advance!
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