Skip to content

Commit

Permalink
Update README.md
Browse files Browse the repository at this point in the history
  • Loading branch information
Chen-Xieyuanli authored Feb 17, 2021
1 parent f505ec3 commit bd501d4
Showing 1 changed file with 25 additions and 0 deletions.
25 changes: 25 additions & 0 deletions README.md
Original file line number Diff line number Diff line change
@@ -1,5 +1,15 @@
# OverlapNet - Loop Closing for 3D LiDAR-based SLAM

### Table of Contents
0. [Introduction](#OverlapNet was nominated as the Best System Paper at Robotics: Science and Systems (RSS) 2020)
0. [Publication](#Publication)
0. [Logs](#Logs)
0. [Dependencies](#Dependencies)
0. [How to use](#How to use)
0. [Application](#Application)
0. [License](#License)


### OverlapNet was nominated as the Best System Paper at Robotics: Science and Systems (RSS) 2020

This repo contains the code for our RSS2020 paper, OverlapNet.
Expand All @@ -25,6 +35,15 @@ If you use our implementation in your academic work, please cite the correspondi
videourl = {https://www.youtube.com/watch?v=YTfliBco6aw},
}

## Logs
### Version 1.1
- Added a method to the Infer class for inference with multiple frames versus multiple frames.
- Updated TensorFlow version in dependencies.
- Fixed bugs in generating ground truth overlap and yaw.
- Add an application and a link to our overlap-based MCL implementation.
### Version 1.0
Open source initial submission

## Dependencies

We are using standalone keras with a tensorflow backend as a library for neural networks.
Expand Down Expand Up @@ -219,6 +238,12 @@ The configuration file should have the following additional settings:
Note that: the provided pre-trained model and preprocessed ground truth are with the constraint that the current frame only finds loop closures in the previous frames.


## Application
### [Overlap-based Monte Carlo Localization](https://github.com/PRBonn/overlap_localization)
This repo contains the code for our IROS2020 paper: Learning an Overlap-based Observation Model for 3D LiDAR Localization.

It uses the OverlapNet to train an observation model for Monte Carlo Localization and achieves global localization with 3D LiDAR scans.



## License
Expand Down

0 comments on commit bd501d4

Please # to comment.