From e021f900158a42088a1df93fb60de74c050cfd0e Mon Sep 17 00:00:00 2001
From: Fahimeh Farahnakian <fahimeh.farahnakian@utu.fi>
Date: Wed, 15 Jul 2020 13:15:35 +0300
Subject: [PATCH] Update README.md

---
 README.md | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/README.md b/README.md
index 36507c5..4d35c27 100644
--- a/README.md
+++ b/README.md
@@ -82,6 +82,13 @@ and classification on real datasets show that the proposed
 approach provides reliable object detection and classification
 results in maritime environments.
 
+
+![Image description](fig4.jpg)
+
+Fig. 4. Mapping the detected objects by all sensors in Fig. 2 on (a) radar coordinates and (b) RGB camera image. ’F’ box in the bottom left corner of
+each figure indicates the location of the ferry.
+
+
 # References
 1.  F. Farahnakian, M.Haghbayan, J. Poikonen, M. Laurinen, P. Nevalainen and J. Heikkonen, “Object Detection based on Multi-sensor Proposal Fusion in Maritime Environment”, The 17th IEEE International Conference on Machine Learning and Applications (ICMLA), 2018, US.
 2. F. Farahnakian, P. Movahedi , J. Poikonen, E. Lehtonen, D. Makris and J. Heikkonen, “Comparative Analysis of Image Fusion Methods in Marine Environment”, Proceedings of the 13th edition of the IEEE International Symposium on RObotic and Sensors Environments (ROSE), 2019, Canada.
-- 
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