This is a page describing data taken during an experiment at the ISIS Neutron and Muon Source. Information about the ISIS Neutron and Muon Source can be found at https://www.isis.stfc.ac.uk.
Neutrons Sensitivity of Autonomous Vehicles Stack: from sensors data processing to actuators modification
Abstract: In this proposal we intend to move a step forward in the reliability evaluation of self-driving vehicles by considering the full stack required to enable automation. Our idea is to characterize the sensitivity of basic procedures of autonomous vehicles through dedicated codes extrapolated from simulators and complex frameworks. Then, we will compare the error rate of the different codes to identify the ones that are more likely to be corrupted. Additionally, we will observe the faults propagation in the autonomous vehicle framework to identify the operations that are more critical, i.e., whose corruption is more likely to cause an accident or unexpected behavior.
Local Contact: Dr Carlo Cazzaniga
Experimenter: Dr Paolo Rech
Experimenter: Dr Fernando Fernandes Dos Santos
DOI: 10.5286/ISIS.E.RB2200004
ISIS Experiment Number: RB2200004
Part DOI | Instrument | Public release date | Download Link |
---|---|---|---|
10.5286/ISIS.E.RB2200004-1 | CHIPIR | 31 March 2025 | Download |
Publisher: STFC ISIS Neutron and Muon Source
Data format: RAW/Nexus
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Data Citation
The recommended format for citing this dataset in a research
publication is as:
[author], [date], [title], [publisher],
[doi]
For Example:
Dr Carlo Cazzaniga et al; (2022): Neutrons Sensitivity of Autonomous Vehicles Stack: from sensors data processing to actuators modification, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB2200004
Data is released under the CC-BY-4.0 license.