This research work is organized in two parts. The first one addresses how to analyze the interdisciplinary problem of motorcycle safety, in order to maximize the positive impact of future motorcycle safety systems through a new methodological tool, which it was developed in this work. The second part describes a remote sensor, developed in this work, aimed at avoiding or mitigating the motorcycle crashes, as these were found necessary in the first part. Therefore, this research focused on the requirements to accomplish a conceptual safety functionality, called Motorcycle Autonomous Emergency Braking (M-AEB). The reason for this is because this safety system does not exist for motorcycles. The specifications behind the M-AEB functionality were taken from the outcomes of a prior EU research project called ABRAM (Autonomous BRAking for Motorcycles).
Safety systems for motorcycles: Remote sensing from tilting vehicles / Gustavo Gil. - (2018).
Safety systems for motorcycles: Remote sensing from tilting vehicles
Gustavo Gil
2018
Abstract
This research work is organized in two parts. The first one addresses how to analyze the interdisciplinary problem of motorcycle safety, in order to maximize the positive impact of future motorcycle safety systems through a new methodological tool, which it was developed in this work. The second part describes a remote sensor, developed in this work, aimed at avoiding or mitigating the motorcycle crashes, as these were found necessary in the first part. Therefore, this research focused on the requirements to accomplish a conceptual safety functionality, called Motorcycle Autonomous Emergency Braking (M-AEB). The reason for this is because this safety system does not exist for motorcycles. The specifications behind the M-AEB functionality were taken from the outcomes of a prior EU research project called ABRAM (Autonomous BRAking for Motorcycles).File | Dimensione | Formato | |
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GIL_thesis_UNIFI.pdf
accesso aperto
Descrizione: PhD Thesis
Tipologia:
Tesi di dottorato
Licenza:
Open Access
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9.96 MB
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Adobe PDF
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9.96 MB | Adobe PDF |
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