Royal Academy of Engineering, UK has funded the project entitled "*H3DR* Camera: Smart Embedded Camera with Multi-exposure & Multi-view capability for autonomous vehicles" between METU OGAM, UofWarwick, and Buyutech through the "Transforming System through partnership" grant scheme
OGAM researchers Dr. Kutalmış İnce and Aybora Köksal win best paper award in CVPR-2020 AntiUAV Workshop with their paper entitled "Effect of Annotation Errors on the Drone Detection with YOLO-v3". Our researchers presented their papers at the conference in Seattle on June 19, 2020 and received their awards.(https://anti-uav.github.io/leaderboard/)
In Y3 2020, two separate competitions will be held for the automatic detection of various targets from Satellite and Wide Area Surveillance (GAG) images. You can find detailed information at https://t.co/cSM3xeT61M. https://t.co/y0717QM2GJ
INNOVATIVE SOFTWARE COMPETITION 2nd TERM PROJECT SIGNATURE CEREMONY
SEMINAR
Network Topology Inference
Speaker:
Eda BAYRAM
EPFL - Signal Processing Laboratory
Switzerland - 1015 Lausanne
Date Time Location: 06 January 2020, Monday. 14:00, Ayaslı Research Center
ARC210
ABSTRACT
Presentation will have two parts. The first part is an overview of the network
topology inference methods beginning with the inverse covariance estimation
with graphical Lasso. It continues with studies focusing on the statistical
Acceptance Tests for Cogntive Camera Project between ODTU OGAM and ASELSAN UGES Division are conducted on 18-19 December 2019 with the attendance of SSB and successfully completed.
On 4th of July 2019, Taiwan National Cheng Kung University president and committee visited METU for collaboration. During their stay, they visited OGAM (METU Center for Image Analysis) and were informed about the research and work in OGAM.
On Thursday, July 4, 2019 (between 09:00-17:30), a workshop was held in METU under the auspices of SSB-OGAM, bringing together the officials of the Italian Telespazio company and Turkish companies conducting research on image analysis. In this workshop, information was given on image processing and especially its capabilities related to automatic analysis of satellite images, and innovative project ideas were discussed within the scope of future applications.
