Project description
Computer vision for traffic management
By enhancing soft transport modes, including cycling and walking, cities are bound to become more sustainable, while contributing to the reduction of pollution levels and traffic congestion. Still, city officials across the European Union are struggling to safeguard vulnerable road users that account for the overwhelming majority of road victims in urban areas. UrbanDynamics aims to re-design mobility models, developing a real-time traffic monitoring and managing system that uses raw traffic data from cameras to recognise, track, and analyse the behaviour of all urban traffic participants, including bicycles and pedestrians. UrbanDynamics will boost growth with revenues surpassing EUR 18 million. At least 15 jobs are also expected to be created.
Objective
The booming urbanisation poses several challenges for cities such as growing traffic volumes, safety, and increasing environmental pressures. Enhancing the use of soft transportation modes (cycling and walking) will make cities more sustainable by reducing congestion and pollution. However city authorities are currently struggling to guarantee the safety of those vulnerable road users: they account for almost 70% of the road victims in urban areas. The objective of increasing the use of soft transport modes can only be achieved with a re-design of current urban mobility models. A holistic approach for managing urban traffic is one the most urgent needs of traffic authorities. Correspondingly, the associated traffic management market is projected to grow at a CAGR = 21% and reach the €19.4 billion by 2022. At ViNotion, a Dutch leading expert in intelligent image interpretation since 2007, we have developed UrbanDynamics, a real-time traffic monitoring and managing system that uses raw traffic data from cameras to recognise, track, and analyse the behaviour of all urban traffic participants, including bicycles and pedestrians. Our solution collects data from pre-existing cameras and by means of machine- and deep learning, analyses the behaviour of all traffic participants providing an in-depth insight into complex urban traffic scenarios. Our competitive advantages rely on the high accuracy, even in broad areas with only one system (false detections < 1% in 18m width lane), and versatility of the traffic information obtained (counting, speed, direction, queue length, waiting time, etc.). At ViNotion we aim at making EU cities more friendly for pedestrians and bicycles and reduce associated traffic fatalities by facilitating an optimal integration of the soft transportation modes into the urban environment. UrbanDynamics will boost our growth with revenues surpassing the €18 million in the 3rd year after market uptake and the creation of up to 15 new position.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology civil engineering urban engineering smart cities
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors optical sensors
- natural sciences computer and information sciences artificial intelligence computer vision
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
- social sciences social geography transport sustainable transport intelligent transport systems
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
MAIN PROGRAMME
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H2020-EU.3. - PRIORITY 'Societal challenges
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H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
SME-1 - SME instrument phase 1
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-EIC-SMEInst-2018-2020
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
5641 JA Eindhoven
Netherlands
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.