Model-Based Design for the Development and System-Level Testing of ADAS

Kim, Ajung; Otani, Tomomi; Leung, Victor C. M.

doi:10.1007/978-3-319-19818-7_5

Cited by 3 publications

(1 citation statement)

References 3 publications

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“…Being currently mainly based on mere empirical calibration, the physical model-based estimation can represent a crucial factor towards the improvement of the pedestrians’ and passengers’ active safety, enabling the management of the activation threshold ranges on the basis of the instantaneous operating and the environmental boundary conditions [ 29 , 30 ]. This can be already employed in the current ADAS to communicate to the driver the necessity to co-act in specific situations, but it also constitutes a fundamental root for the future driving automatization [ 31 , 32 ].…”

Section: Introductionmentioning

confidence: 99%

Investigation on the Model-Based Control Performance in Vehicle Safety Critical Scenarios with Varying Tyre Limits

Sakhnevych

Arricale

Bruschetta

et al. 2021

Sensors

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In recent years the increasing needs of reducing the costs of car development expressed by the automotive market have determined a rapid development of virtual driver prototyping tools that aims at reproducing vehicle behaviors. Nevertheless, these advanced tools are still not designed to exploit the entire vehicle dynamics potential, preferring to assure the minimum requirements in the worst possible operating conditions instead. Furthermore, their calibration is typically performed in a pre-defined strict range of operating conditions, established by specific regulations or OEM routines. For this reason, their performance can considerably decrease in particularly crucial safetycritical situations, where the environmental conditions (rain, snow, ice), the road singularities (oil stains, puddles, holes), and the tyre thermal and ageing phenomena can deeply affect the adherence potential. The objective of the work is to investigate the possibility of the physical model-based control to take into account the variations in terms of the dynamic behavior of the systems and of the boundary conditions. Different scenarios with specific tyre thermal and wear conditions have been tested on diverse road surfaces validating the designed model predictive control algorithm in a hardware-in-the-loop real-time environment and demonstrating the augmented reliability of an advanced virtual driver aware of available information concerning the tyre dynamic limits. The multidisciplinary proposal will provide a paradigm shift in the development of strategies and a solid breakthrough towards enhanced development of the driving automatization systems, unleashing the potential of physical modeling to the next level of vehicle control, able to exploit and to take into account the multi-physical tyre variations.

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Section: Introductionmentioning

confidence: 99%