Optimal emission-free local public transport
Objective of Proposal Idea:
In order to achieve environmental friendly public transport, the way to go at the time are electric busses. Many obstacles must be tackled before the operations can be switched to those alternative drives. We combine research approaches from classic traffic research with advanced machine learning techniques to achieve optimal transport networks for electric busses. We invite any public tranport provider interested in switching to emsission-free operations to take part in our research pursuit.
Project Manager, Research Collaboration at F-Secure Corporation
Company Name: F-Secure Corporation
F-Secure is a Finnish and globally operating cybersecurity company. F-Secure designs and offers award-winning security and privacy products and services that help tens of millions of consumers to protect themselves against online threats. F-Secure’s offering includes a comprehensive range of cyber security products and services related to endpoint security, privacy protection, password management and digital identity protection, and router security that protects consumers' entire connected home and has 17 million subscribers across all channels. The majority of F-Secure revenue come from selling products and services through its extensive and global Channel Partner network, including approximately 200 Channel Partners. Channel Partners[...]
VR/AR to enable inclusive and accessible tourism, to provide edutainment for children with special educational needs and disabilities
Company Name: Kerckhoffs Ltd
Virtual Reality solutions Inclusive Tourism Inclusive edutainment for children with special educational needs and disabilities Accessibility consultancy
Through its i2D Research Telematics Platform, Livedrive focuses in Behavioral | Cultural area related to cars, gathering expertise in mechanical engineering, energy, software, IoT, electronics | comms, socioeconomic cultural behaviours, mobility, security
Company Name: Livedrive Ltd
Driving Scores: developed methodologies and hundreds of algorithms that today are the core tech base to be updated and upgraded to reliably support “Incentives-charging” public policies, develop new concepts as the “Environmental and Safety Tachographs”, and develop a “Universal OBFCM (On Board Fuel Consumption Monitor) device, software based” Fuel, energy consumption and Emissions (CO2; NOX) productions calculations based on raw data collected onboard. EU CO2 Regulations for cars and vans GDPR compliance solutions Software – backend + frontend, and electronics’ firmware Connected Cars and Telematics’ market solutions (Fleet Management, Mobility management, Insurance, Smart Cities) and challenges (car data access, privacy[...]
Expertise in domains such as Human-Machine Interaction (HRI), Robotics, Assisting Systems, Affective computing, Artifical Intelligence (AI), Health and Social Sciences
Company Name: Hochschule Offenburg - ACI
The Affective & Cognitive Institute (ACI) is a research institute at Offenburg University (Germany), specialized in Human-Robot-Interaction (HRI), assisting systems, affective computing, and machine learning. We study the perception and integration of robots and focus on state-of-the-art solutions for the work environment, education, and health care. We have experience with EU Horizon projects.
Imec is an RD hub for nano- and digital technologies
Company Name: IMEC
At imec, we shape the future. How? By enabling nano- and digital technology innovation with a significant impact on the quality of life. With our partners from companies, governments and academia. And supported by the three pillars of our R&D: a unique infrastructure that includes a 2.5-billion-euro 300mm semiconductor pilot line more than 5,000 expert scientists from over 95 countries an ecosystem of more than 600 world-leading industry partners and a global academic network
Optimizing public transport for emission free vehicles
Company Name: University of Applied Sciences Kempten
We have extended expertise on data-acquisition from all kind of vehicles, processing and validating the data and data-analysis with means of classical engineering as well as-state-of the art artificial intelligence approaches. We combine this with procedures from traffic research and our expertise in simulating the operation of electric fleets to optimize the operations of electric public transport in cities.