The route to safe automated driving
What is necessary to ensure safe automated driving? TNO aims to accelerate the process for automated vehicles to be allowed on public roads. With the use of specialised knowledge, validation software and test scenarios, TNO helps to provide convincing evidence to demonstrate the safety of these vehicles.
Automated driving: the challenges
The future of automated driving depends on reliable safety validation of vehicles to ensure that they operate safely in all traffic situations. How do we safely get automated vehicles on the road? TNO is working on necessary innovations. To get in touch with our experts on this topic, join the Meet the expert sessions below.
Meet the experts and join the route to safe automated driving
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Driving monitoring automated driving
Session 1 | 5 November | 16:00 – 17:00 CETThe rise of advanced driver assistance and automated driving systems complicates driver-vehicle interaction, increasing the need for better Human-Machine Interface design. Driver monitoring is also becoming essential to ensure driver engagement. During this online Meet the Expert session, we will cover the latest developments and challenges.
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Context-aware automated driving
Session 2 | 25 November | 16:00 – 17:00 CETExplainability and traceability is crucial for the safe deployment and successful certification of automated vehicles. TNO’s hybrid AI approach enhances the reasoning capabilities of self-driving systems by incorporating robust, context-aware motion planning. In this “Meet the Expert session”, experts explain the methodology and concrete demonstrators of this hybrid AI approach.
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Digital Infrastructure
Session 3 | 16 December | 16:00 - 17:00 CETWe aim to enhance mobility by making it safer, more sustainable, and efficient. Intelligent vehicle systems are key to this, supported by a robust digital infrastructure. Integrating external data can significantly improve these systems, extending the vehicle’s operational horizon. In this session, we will discuss challenges and solutions, including Intelligent Speed Assistance (ISA), e-charging, and smart intersections.
Join one or more sessions
Validation software
Safe automated driving first
With our advanced safety validation software, TNO StreetWise, we aim to create seamless and safe transportation, driving societal and economic impact.
Co-makership in development of self-driving software
Safe automated driving first
TNO advises OEM's, TIER1 suppliers and toolchain suppliers in developing secure software.
Knowledge transfer
Safe automated driving first
TNO connects government, OEM's, TIER1 suppliers and toolchain suppliers in order to share knowledge and develop policy.
Paper StreetWise: scenario based safety assessment for automated driving
TNO StreetWise is an advanced method to describe real driving conditions and their variations and store that in a scenario database to enable scenario-based testing and validation. StreetWise brings safe automated driving one step closer. In this paper you will find the basics, the implementation and the future of scenario-based safety assessment.
Contact us
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Henk Goossens
Functie:Innovation Partnerships ManagerMy mission is responsible introduction and adoption of automated driving. Automation of vehicles has a lot of societal and economic advantages. The technology for automated driving is incredibly complex and therefore has the risk of not being safe enough.
With my colleagues at TNO we are developing methodologies, systems and software that provide solutions for assessing and reducing the safety risk in a thorough and fundamental way. I appreciate the underlying high tech solutions in mathematics and (system) engineering. Even more though, I enjoy brining those solutions to our partners for implementation in their processes and vehicles.
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Standplaats:Helmond
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Email:Email Henk
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LinkedIn:Henk on LinkedIn
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Olaf Op den Camp
Functie:Senior consultantDevelopment and practical deployment of scenario-based safety assessment methods for Assisted Driving and Automated Driving Systems is my passion and expertise.
International harmonization and standardization of methods and tools for scenario-based safety assessment is my ambition.
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Standplaats:Helmond
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Email:Email Olaf
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Erwin de Gelder
Functie:ResearcherErwin received his MSc (cum laude) in Systems and Control (2014) from Delft University of Technology and has been with TNO since then. His research focusses on quantitative, data-driven scenario-based assessment methods for automated vehicles. He received his PhD. (2022) on this topic from Delft University of Technology.
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Standplaats:Helmond
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Email:Email Erwin
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