From ffeedb4d4f87d8eaa2e6f157595d27b4add6ae9b Mon Sep 17 00:00:00 2001
From: Yin Jie <42110520+sjtuyinjie@users.noreply.github.com>
Date: Sun, 23 Jun 2024 14:26:35 +0800
Subject: [PATCH] Update README.md

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 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 9df3d44..bf87dc4 100644
--- a/README.md
+++ b/README.md
@@ -22,7 +22,7 @@ First Author: [**Jie Yin 殷杰**](https://github.com/sjtuyinjie?tab=repositorie
 
 
 ## 🎯 Notice
-We strongly recommend that the newly proposed SLAM algorithm be tested on our [M2DGR](https://github.com/SJTU-ViSYS/M2DGR) / [M2DGR-plus](https://github.com/SJTU-ViSYS/M2DGR-plus) / [Ground-Challenge](https://github.com/sjtuyinjie/Ground-Challenge) benchmark, because our data has following features:
+We strongly recommend that the newly proposed SLAM algorithm be tested on our [M2DGR](https://github.com/SJTU-ViSYS/M2DGR) / [M2DGR-plus](https://github.com/SJTU-ViSYS/M2DGR-plus) / [Ground-Challenge](https://github.com/sjtuyinjie/Ground-Challenge) / [SJTU-GVI](https://github.com/sjtuyinjie/SJTU_GVI) benchmark, because our data has following features:
 
 1. **Rich sensory information** including vision, lidar, IMU, GNSS,event, thermal-infrared images and so on
 2. **Various scenarios** in real-world environments including lifts, streets, rooms, halls and so on.