TeamAware

Team Awareness Enhanced with Artificial Intelligence and Augmented Reality
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Grant Agreement number 101019808
36 months
May 2021 to May 2024
The challenge
The solution
The main objective of the TeamAware Project is to develop an integrated and cost-efficient situational awareness system for first responders from different sectors with heterogeneous and hardly interoperable sensor units including drone mounted, wearable, and external sensor systems.
- Objective 1
- Objective 2
- Objective 3
Development of an Integrated Situational Awareness System
Cost-Efficiency
Enhanced Safety and Effectiveness of First Responders
Outcomes: Key results
- App focused on emergency awareness and management for First Responder deployed in the emergency operations field
- D11.4 Mobile Interaction Design Report v1 (Lead beneficiary)
- D11.8 Mobile Interaction Design Report v2 (Lead beneficiary)
Role of Enide
- Mobile applications and HMI
Services related to the role
- Prototype for Mobile Interface of TeamAware Common Situational Awareness Picture
GAMMS
Is enabling the exploitation of space data for surveying and mapping. It will develop an autonomous terrestrial mobile mapping system (AMMS), based on the tight integration of autonomous vehicle (AV), navigation/geodetic, and artificial intelligence (AI) technologies. ENIDE will lead the communication, dissemination and exploitation activities.
AWARD
Will develop and enable a safe autonomous transportation system in a wide range of real-life use cases in a variety of different scenarios. This encompasses the development of autonomous driving system (ADS) capable of handling adverse environmental conditions such as heavy rain, snowfall, fog.
ESRIUM
Fosters safer and more efficient roads towards a smarter, safer, greener transport system through an ENGSS-based digital map. ESRIUM digital map of road damages and safety risks will allow for route adjustments through I2V communication free of charge leading CAV drivers to a more balanced use of the road surface and to a longer lifetime of the road infrastructure.