From 03777b3dc4985029aca6aa60c873ebcac17a4d4f Mon Sep 17 00:00:00 2001
From: "Shengkang (William) Chen" <billyskc@ucla.edu>
Date: Thu, 14 Sep 2023 03:19:36 +0000
Subject: [PATCH] Update README.md
---
README.md | 16 +++++++++++++++-
1 file changed, 15 insertions(+), 1 deletion(-)
diff --git a/README.md b/README.md
index f6372ca..b7895a6 100644
--- a/README.md
+++ b/README.md
@@ -3,7 +3,7 @@
## Synopsis
Cooperative localization is still a challenging task for cooperative robot control. CoLo is a performance evaluation system for two-dimensional cooperative localization algorithms. The system consists of a physical experiment (CoLo-PE) for data collection and a software analysis tool (CoLo-AT) using real-world datasets to evaluate the performances of users’ cooperative localization algorithms. The goal of this project to let users to create and evaluate their own algorithms with some existing algorithms.
-
+[Project Website](https://uclalemur.com/research/colo-simulation-environment-for-cooperative-localization)
## Structure
There are two main parts in CoLo: a physical experiment (CoLo-PE) for data collection and a software analysis tool (CoLo-AT)
@@ -11,6 +11,18 @@ In CoLo-PE, it will shows the requriment hardwares and softwares needed for sett
In CoLo-AT, users can load their localization algorithms and test their performances using different datasets on various settings.
Each parts can be used independetly for users' needs.
+## Cite this work
+```
+@INPROCEEDINGS{Chen2019,
+ author={Chen, Shengkang and Mehta, Ankur},
+ booktitle={2019 International Conference on Robotics and Automation (ICRA)},
+ title={CoLo: A Performance Evaluation System for Multi-robot Cooperative Localization Algorithms},
+ year={2019},
+ volume={},
+ number={},
+ pages={1458-1464},
+ doi={10.1109/ICRA.2019.8794311}}
+```
## Authors
@@ -18,6 +30,8 @@ Each parts can be used independetly for users' needs.
**Ben Limpanukorn**
+**Ankur Mehta**
+
## CoLo Structure
--
GitLab