MEC Hackathon 2018 Turin - Revision history

Velez at 17:51, 26 March 2024

2024-03-26T17:51:21Z

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	__NOTOC__		__NOTOC__
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			<p class="left" style="font-size:26px;"> ←''[[Past_events\|Past Hackathons]]''<p>
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	[[File:2018-hack-turin-poster.png\|500px\|center\|top\|class=img-responsive]]		[[File:2018-hack-turin-poster.png\|500px\|center\|top\|class=img-responsive]]
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	* The project has been awarded the possibility of implementing and testing it on the “Smart Roads” infrastructure (a live 5G automotive trial in the urban environment of Turin (Italy)).		* The project has been awarded the possibility of implementing and testing it on the “Smart Roads” infrastructure (a live 5G automotive trial in the urban environment of Turin (Italy)).
	<br>		<br>
	* GitHub repositories with the prototype: [~~https:~~//github.com/fcdl94/MECHack server], [~~https:~~//github.com/EugenioGallea/ACTelemetryClient client ]		* GitHub repositories with the prototype: [//github.com/fcdl94/MECHack server], [//github.com/EugenioGallea/ACTelemetryClient client ]
	<br>		<br>
	* Presentation slides for the Jarvis prototype: [//mecwiki.etsi.org/images/2018-hack-turin-Jarvis.pdf here]		* Presentation slides for the Jarvis prototype: [//mecwiki.etsi.org/images/2018-hack-turin-Jarvis.pdf here]
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Velez at 13:39, 7 December 2021

2021-12-07T13:39:44Z

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	<br>		<br>

	= Organization =		== Organization ==
	'''1st MEC HACKATHON AND EDGE CLOUD ITALY 2018'''		'''1st MEC HACKATHON AND EDGE CLOUD ITALY 2018'''

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	= Technical Challenge =		== Technical Challenge ==

	The automotive sector is one of the main areas of application of Edge Computing and 5G, during the hackathon develop with your team infotainment solutions for cars , mobile on-car solutions using ETSI MEC technologies.		The automotive sector is one of the main areas of application of Edge Computing and 5G, during the hackathon develop with your team infotainment solutions for cars , mobile on-car solutions using ETSI MEC technologies.
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	= Winner team =		== Winner team ==
	* The winner of the Turin Hackathon, '''JARVIS''', put forward a solution that exploited MEC’s performance capabilities within vehicles’ collision avoidance systems. Their prize was inclusion in the city of Turin’s Smart Road project, providing the possibility of implementing and testing the application within a live 5G automotive infrastructure trial in the urban environment of Turin.		* The winner of the Turin Hackathon, '''JARVIS''', put forward a solution that exploited MEC’s performance capabilities within vehicles’ collision avoidance systems. Their prize was inclusion in the city of Turin’s Smart Road project, providing the possibility of implementing and testing the application within a live 5G automotive infrastructure trial in the urban environment of Turin.
	[[File:2018-hack-turin-room3.png\|500px\|center\|top\|class=img-responsive]]		[[File:2018-hack-turin-room3.png\|500px\|center\|top\|class=img-responsive]]

Velez at 12:00, 7 December 2021

2021-12-07T12:00:39Z

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	= Organization =		= Organization =
	~~=== Details ===~~
	'''1st MEC HACKATHON AND EDGE CLOUD ITALY 2018'''		'''1st MEC HACKATHON AND EDGE CLOUD ITALY 2018'''

Velez at 11:58, 7 December 2021

2021-12-07T11:58:54Z

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	* GitHub repositories with the prototype: [https://github.com/fcdl94/MECHack server], [https://github.com/EugenioGallea/ACTelemetryClient client ]		* GitHub repositories with the prototype: [https://github.com/fcdl94/MECHack server], [https://github.com/EugenioGallea/ACTelemetryClient client ]
	<br>		<br>
	* Presentation slides for the Jarvis prototype: ~~https:~~//~~elite~~.~~polito~~.it/~~files/news~~/2018/Jarvis.pdf		* Presentation slides for the Jarvis prototype: [//mecwiki.etsi.org/images/2018-hack-turin-Jarvis.pdf here]
	<br>		<br>

Velez at 11:53, 7 December 2021

2021-12-07T11:53:35Z

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	= Winner team =		= Winner team =
	* The winner of the Turin Hackathon, '''JARVIS''', put forward a solution that exploited MEC’s performance capabilities within vehicles’ collision avoidance systems. Their prize was inclusion in the city of Turin’s Smart Road project, providing the possibility of implementing and testing the application within a live 5G automotive infrastructure trial in the urban environment of Turin.		* The winner of the Turin Hackathon, '''JARVIS''', put forward a solution that exploited MEC’s performance capabilities within vehicles’ collision avoidance systems. Their prize was inclusion in the city of Turin’s Smart Road project, providing the possibility of implementing and testing the application within a live 5G automotive infrastructure trial in the urban environment of Turin.
	[[File:2018-hack-turin-room3.png\|~~600px~~\|center\|top\|class=img-responsive]]		[[File:2018-hack-turin-room3.png\|500px\|center\|top\|class=img-responsive]]
	~~<br>~~
	* https://elite.polito.it/news/463-news-2018-mec-hackathon
	<br>		<br>
	* Five brave students from Politecnico di Torino accepted the challenge posed by the hackathon: they are Fabio Cermelli, Eugenio Gallea, Lorenzo Moro, Stefano Roagna, and Nunzio Turco. Fabio and Lorenzo are also members of the IEEE Eta-Kappa-Nu association. Working together and combining their specific individual skills, they built a prototype of a system, called Jarvis, that they describe as follows:		* Five brave students from Politecnico di Torino accepted the challenge posed by the hackathon: they are Fabio Cermelli, Eugenio Gallea, Lorenzo Moro, Stefano Roagna, and Nunzio Turco. Fabio and Lorenzo are also members of the IEEE Eta-Kappa-Nu association. Working together and combining their specific individual skills, they built a prototype of a system, called Jarvis, that they describe as follows:

Velez at 11:52, 7 December 2021

2021-12-07T11:52:18Z

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	''"Our idea aims at being a help for the drivers, especially the novice ones, and in particular to notify possible dangers in upcoming intersections. By exploiting the MEC technology we may notify, nearly in real time, the drivers of other approaching vehicle that could constitute a danger. The intelligence that we added to the infrastructure allows us to provide the data for computing vehicle position and speed, and to detect when such situations might happen. The MEC is then used also to broadcast a warning to all vehicles in a certain area.”''		''"Our idea aims at being a help for the drivers, especially the novice ones, and in particular to notify possible dangers in upcoming intersections. By exploiting the MEC technology we may notify, nearly in real time, the drivers of other approaching vehicle that could constitute a danger. The intelligence that we added to the infrastructure allows us to provide the data for computing vehicle position and speed, and to detect when such situations might happen. The MEC is then used also to broadcast a warning to all vehicles in a certain area.”''
	</p>		</p>
			<br>
			* The project has been awarded the possibility of implementing and testing it on the “Smart Roads” infrastructure (a live 5G automotive trial in the urban environment of Turin (Italy)).
			<br>
			* GitHub repositories with the prototype: [https://github.com/fcdl94/MECHack server], [https://github.com/EugenioGallea/ACTelemetryClient client ]
			<br>
			* Presentation slides for the Jarvis prototype: https://elite.polito.it/files/news/2018/Jarvis.pdf
	<br>		<br>

Velez: Created page with " NOTOC class=img-responsive
= Organization = === Details === '''1st MEC HACKATHON AND EDGE CLOUD ITALY 2018'..."

2021-12-07T11:44:19Z

Created page with " __NOTOC__ 500px|center|top|class=img-responsive = Organization = === Details === '''1st MEC HACKATHON AND EDGE CLOUD ITALY 2018'..."

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__NOTOC__

[[File:2018-hack-turin-poster.png|500px|center|top|class=img-responsive]]
 

= Organization =
=== Details ===
'''1st MEC HACKATHON AND EDGE CLOUD ITALY 2018'''

* '''Challenge ''': Develop advanced mobile applications for automotive infotainment services
in 5G enabled ETSI-MEC networks.

* '''Location''': 18 September 2018 9.00-18.00 at I3P, Via Pier Carlo Boggio 59, Turin

The possibilities that open up with the interaction between Edge Computing and 5G are really many.
Just as there are more and more sectors in which these possibilities constitute real opportunities.

To come to the rescue of the developers is the MEC framework ( Multi-Access Edge Computing ), which was developed to facilitate the task of developing applications always better , always faster and in a way more easier .

If you and your team are working on a MEC application for 5G, thinking they can improve life in cars, the hackathon for you is coming: on September 18th , from 9 to 18, the Sala I3P's Agorà will turn into the laboratory of the applications of the future with the first edition of the MEC Hackathon !
[[File:2018-hack-turin-room2.png|500px|center|top|class=img-responsive]]

__TOC__

= Technical Challenge =

The automotive sector is one of the main areas of application of Edge Computing and 5G, during the hackathon develop with your team infotainment solutions for cars , mobile on-car solutions using ETSI MEC technologies.

During the hackathon you will be able to learn - and exploit - the ETSI MEC APIs , made available on the MEC hosts during the competition, to develop Entertainment, VR, AR applications (“EVA app”).

Not only that: you and your team can challenge yourself in a real-case simulation , to support typical connected vehicle or self-driving use cases (you can see examples of automotive use cases here ).

= Winner team =
* The winner of the Turin Hackathon, '''JARVIS''', put forward a solution that exploited MEC’s performance capabilities within vehicles’ collision avoidance systems. Their prize was inclusion in the city of Turin’s Smart Road project, providing the possibility of implementing and testing the application within a live 5G automotive infrastructure trial in the urban environment of Turin.
[[File:2018-hack-turin-room3.png|600px|center|top|class=img-responsive]]
 
* https://elite.polito.it/news/463-news-2018-mec-hackathon
 
* Five brave students from Politecnico di Torino accepted the challenge posed by the hackathon: they are Fabio Cermelli, Eugenio Gallea, Lorenzo Moro, Stefano Roagna, and Nunzio Turco. Fabio and Lorenzo are also members of the IEEE Eta-Kappa-Nu association. Working together and combining their specific individual skills, they built a prototype of a system, called Jarvis, that they describe as follows:

''"Our idea aims at being a help for the drivers, especially the novice ones, and in particular to notify possible dangers in upcoming intersections. By exploiting the MEC technology we may notify, nearly in real time, the drivers of other approaching vehicle that could constitute a danger. The intelligence that we added to the infrastructure allows us to provide the data for computing vehicle position and speed, and to detect when such situations might happen. The MEC is then used also to broadcast a warning to all vehicles in a certain area.”''