Design and Performance of Wheel-mounted MEMS IMU for Vehicular Navigation

Mezentsev, O.; Collin, Jussi

doi:10.1109/isiss.2019.8739733

Cited by 9 publications

(1 citation statement)

References 16 publications

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“…In the automotive field, inertial sensing can intervene in different areas, from safety systems-like passenger-restraint systems (e.g., airbags and seat-belt pretensioner) and vehicle dynamics control (e.g., ESC)-to monitor driver's movements when seated. In both areas, current IMUs are mainly built with Micro Electromechanical Systems (MEMS), mostly for miniaturization and cost reasons, thus providing better performance in compact arrangements [111] and additionally exploiting highly advanced algorithms based on ML and data fusion technologies [112]. Moreover, personal motion estimation for health monitoring requires very precise localization of the ego position; to this end, the availability of 3-axis accelerometers and 3-axis gyroscopes is a plus, since sensing elements have to be much more precise compared to traditional industrial-grade IMUs used for automotive safety systems.…”

Section: Inertial Sensorsmentioning

confidence: 99%

On Driver Behavior Recognition for Increased Safety: A Roadmap

Davoli

Martalò

Cilfone

et al. 2020

Safety

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Advanced Driver-Assistance Systems (ADASs) are used for increasing safety in the automotive domain, yet current ADASs notably operate without taking into account drivers’ states, e.g., whether she/he is emotionally apt to drive. In this paper, we first review the state-of-the-art of emotional and cognitive analysis for ADAS: we consider psychological models, the sensors needed for capturing physiological signals, and the typical algorithms used for human emotion classification. Our investigation highlights a lack of advanced Driver Monitoring Systems (DMSs) for ADASs, which could increase driving quality and security for both drivers and passengers. We then provide our view on a novel perception architecture for driver monitoring, built around the concept of Driver Complex State (DCS). DCS relies on multiple non-obtrusive sensors and Artificial Intelligence (AI) for uncovering the driver state and uses it to implement innovative Human–Machine Interface (HMI) functionalities. This concept will be implemented and validated in the recently EU-funded NextPerception project, which is briefly introduced.

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Section: Inertial Sensorsmentioning

confidence: 99%