Dream-like simulation abilities for automated cars

The project Dreams4Cars takes inspiration from the Simulation Hypothesis of Cognition – notably in the sense of Hesslow – and in particular from the idea that thoughts are chains of simulated actions and simulated perceptions. The main objective of Dreams4Cars is to set up an offline simulation mechanism in which robots, by recombining aspects of real-world experience, can produce an emulated world, with which they can collectively interact to safely develop and improve their Perception-Action systems, in particular focusing on the analysis of rare events. The Perception Action systems trained by simulations in this way will then be used for sensorimotor control in real interactions.

Duration: 01.01.2017 till 31.12.2019
Donee: German Research Center for Artificial Intelligence GmbH
Sponsor: European Commission
Grant number: H2020-ICT-2016-1 Project ID: 731593

- Università degli Studi di Trento (IT)
- Högskolan i Skövde (SE)
- Middlesex University (UK)
- University of Sheffield (UK)
- Heich Consult (DE)
- Centro Ricerche FIAT SCpA (IT)

Application Field: Electric Mobility
Related Projects: CERMcity
Center for European Research on Mobility Urban Validation Environment (10.2016- 09.2019)

Project details

The application domain of Dream4Cars is automated driving, which – besides being a major economic sector for the EU – also poses the issue of developing systems capable of dealing with arbitrary and open-ended circumstances. Accidents are rare events and, to demonstrate that autonomous systems are safe enough (i.e. significantly safer than humans – which is not achieved today at high and full automation levels), extensive field operation tests would normally be required. The solution offered by Dreams4Cars, by focusing on variations of much more frequent near-miss accidents, can develop safe behaviours for hypothetical/unexperienced situations. Hence Dream4Cars will contribute by solving both the problem of discovering critical situations and the problem of updating safely the software.

Dreams4Cars will compare the driving agents evolved by the simulation technology to a baseline agent which will have the same State of the Art skills developed by the latest EU project in driving automation (AdaptIVe), hence concretely verifying the added value of the robotic technology.



Exploiting Dream-Like Simulation Mechanisms to Develop Safer Agents for Automated Driving
Mauro Da Lio, Alessandro Mazzalai, David Windridge, Serge Thill, Mehmed Yüksel, Andrea Saroldi, Luisa Andreone, Kevin Gurney, Sean R. Anderson, Hermann-Josef Heich
In 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), (IEEE ITSC-2017), 16.10.-19.10.2017, Yokohama, IEEE, Nov/2017.

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last updated 04.01.2024