vortex-auv
ORB_SLAM3
vortex-auv | ORB_SLAM3 | |
---|---|---|
2 | 15 | |
80 | 6,012 | |
- | 2.1% | |
8.6 | 0.0 | |
16 days ago | 12 days ago | |
Python | C++ | |
MIT License | GNU General Public License v3.0 only |
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vortex-auv
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Did recent AI events change your life plans?
https://github.com/vortexntnu/vortex-auv (both these are tethered but if you want untethered you can find them in the commercial defence area easily)
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Open-source Autonomy Software in Rust-lang with gRPC for the Roomba series robot vacuum cleaners
u/Khay_ That would be awesome, you are very much welcome to contribute :) I have a lot of thoughts and ideas for the project, but haven't mapped it out yet. What if I tried to set up a backlog for the project as chronological steps and some overall goals, and you can have a look? I have done something similar in the past, but only for an autonomous underwater vehicle written in C++ and Python using ROS (have a look here), and learned a lot from that. I would like to create something similar, but I know a lot of things that can improve from the past architecture.
ORB_SLAM3
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How to make bot that can navigate to instructed positions in a 3d world using only rgb images
Thank you for the recommendation. Other's I've talked to have also mentioned slam. I think I might use this repo that looks promising: https://github.com/UZ-SLAMLab/ORB_SLAM3
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Bot that can navigate to instructed positions in a 3d world
https://github.com/UZ-SLAMLab/ORB_SLAM3 looks promising. Thank you for the recommendation!
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Any links/tutorials on how to integrate a mono cam with ros noetic for slam?
ORB_SLAM3 on GitHub: https://github.com/UZ-SLAMLab/ORB_SLAM3
- How to implement SLAM from scratch in C++
- ORB-SLAM3 memory leak
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Wiring in progress
Yeah pretty much. I'd say it can still be useful if your custom application only needs one or two new modules and can otherwise be formed from existing code. It's great if you make a lot of different systems with similar sub-modules. The bigger research institutions also open source a lot of their code with ROS integrations, so you can just drop in state of the art modules where appropriate. e.g. OrbSlam3,
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Doing SLAM with laptop sensors
You could try your luck with OrbSLAM3 or Kimera, they're pretty close to state of the art and open source. Might have a bit of a learning curve though.
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What's the current SOTA for vSLAM?
I hear good things about stereo-visual + inertial and OrbSlam3 seems pretty hot, but this is a couple years old now and I'm not active enough in the field to give a definitive opinion.
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Advice regarding software for indoor autonomous MAV/drone
I'm currently in the planning stage of building an indoor autonomous MAV/drone. Up until this point I thought this would require a SLAM solution, such as ORB-SLAM3, but now I see this framework by Intel which doesn't mention SLAM anywhere. All of the literature seems to be about SLAM so maybe I just don't know the terminology for what I'm looking for.
- Software advice for inside-out cave mapping
What are some alternatives?
rmw_ecal - Please visit the new repository: https://github.com/eclipse-ecal/rmw_ecal
openvslam - OpenVSLAM: A Versatile Visual SLAM Framework
Dstar-lite-pathplanner - Implementation of the D* lite algorithm in Python for "Improved Fast Replanning for Robot Navigation in Unknown Terrain"
open_vins - An open source platform for visual-inertial navigation research.
turtlebot3_simulations - Simulations for TurtleBot3
SuperGluePretrainedNetwork - SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
OpenBangla-Keyboard - An OpenSource, Unicode compliant Bengali Input Method
Udacity-self-driving-car-engineer-P6-Kidnapped-Vehicle - 优达学城无人驾驶工程师纳米学位P6--被绑架的汽车--定位
evdevhook - libevdev based DSU/cemuhook joystick server
VINS-Mono - A Robust and Versatile Monocular Visual-Inertial State Estimator
xivo - X Inertial-aided Visual Odometry
Kalman-and-Bayesian-Filters-in-Python - Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.