From f7c697e9b0193643963d032ef317d5738b0e2785 Mon Sep 17 00:00:00 2001 From: ryanzhao9459 Date: Fri, 15 Sep 2023 17:30:33 +0800 Subject: [PATCH] update iros2023 --- competitions/iros2023.md | 35 +++++++++++++++++++++++++++++++---- 1 file changed, 31 insertions(+), 4 deletions(-) diff --git a/competitions/iros2023.md b/competitions/iros2023.md index 42972d3..c1eadd6 100644 --- a/competitions/iros2023.md +++ b/competitions/iros2023.md @@ -16,7 +16,35 @@ hero_image: /img/web.gif **Sample Dataset and Evaluation Tools will be released at 5th August.** -**** +## Schedule + + + + + + + + + + + + + + + + + + + + + + + + + + +

Event

Date

Release Initial Dataset & Eval Tools

01 Aug 2023

Release Final Competition Set

15 Sep 2023

Submission Close

24 Sep 2023

Winners Notified

25 Sep 2023

Winners Presentations

01 Oct 2023
+ ## Competition Background @@ -60,10 +88,9 @@ PCD The test set includes 6036 submaps. Each submap consists of points queried within 50m. ### Submission and Evaluation -The goal of the competition is to evaluated the performance of place recognition method in overlapping areas of trajectories. ***Top1*** and ***Top5*** recall will be calculated and shown in AIcrowd. The final competition rankings are based on the ***Top1*** recall. +The objective of this competition is to assess the effectiveness of place recognition methods in scenarios involving overlapping trajectory areas. We will evaluate participants' submissions using both **Top1** and **Top5** recall metrics, and the final competition rankings will be determined based on the **Top1** recall score. -Participants please unzip all the files and convert all the point cloud into global descriptors in the same order. -The format of submission should be the standard binary file format in Numpy(.npy). +We kindly request participants to unzip all provided files and convert the point cloud data into global descriptors while preserving the original order. For instance, the global descriptor for "1.pcd" should correspond to index 0, "2.pcd" to index 1, and so forth. Submissions should be the standard binary file format using Numpy (.npy). ## Sample Dataset