Extended Flexible Environment and Vehicle Simulation for an Automated Validation

Albers, Albert; Hettel, Rolf; Behrendt, Matthias; Düser, Tobias; Schwarz, Alexander

doi:10.1007/978-3-642-33738-3_28

Cited by 7 publications

(8 citation statements)

References 4 publications

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“…(Umeda et al, 2005;Chierici and Copani, 2016) This evolution of a system in generations can be described by three variation principles. (Albers et al, 2023) The next section introduces sustainability and how it relates to modular product design. Furthermore, the architecture of modular products and its variation principles for development are then explained before a review of previous work closes this section.…”

Section: State Of the Artmentioning

confidence: 99%

“…This adaptability of hardware components is necessary for upgrades. (Schuh et al, 2023;Umeda et al, 2005;Chierici and Copani, 2016) As the upgrades are implemented during the product's time in use, they have already been considered in the product development phase (Mörtl, 2003;Albers et al, 2023). Albers et al (2023) definition of upgrades summarises these key aspects (see Fig.…”

Section: State Of the Artmentioning

confidence: 99%

“…These upgrades are provided to customers and users through a suitable business model. (Albers et al, 2023) To consider upgrades during product development, different methods can be used to create a picture of future needs and the environment (Thümmel et al, 2022). Foresight is crucial in the early stage of product development, as most product properties are defined (Cooper and Kleinschmidt, 1993).…”

Section: State Of the Artmentioning

confidence: 99%

See 2 more Smart Citations

Future-robust product design – validating influencing factors on upgradeable mechatronic systems

Kuebler,

Lange,

Glasmacher

et al. 2024

Proc. Des. Soc.

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This paper examines upgradability through modular product design, aiming to extend lifecycles and promote cross-generational use. It builds up on a preceding work, a systematic literature- review identifying four fields of action in future-robust product design. The paper itself contains an in-depth interview study with 17 experts from industry and research to validate and expand the literature-based fields of action. The results provide insights into the application and employment of future-robust product design, with a focus on adaptable product architectures.

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Section: State Of the Artmentioning

confidence: 99%

Section: State Of the Artmentioning

confidence: 99%

Section: State Of the Artmentioning

confidence: 99%

See 1 more Smart Citation

Future-robust product design – validating influencing factors on upgradeable mechatronic systems

Kuebler,

Lange,

Glasmacher

et al. 2024

Proc. Des. Soc.

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show abstract

“…bus communication) descriptions. Both concepts provide a basis for a generalized XIL framework, that is described in detail in [3,4,5,6,50,165].…”

Section: A a Summary Of X-in-the-loop Approaches To Datementioning

confidence: 99%

Methods for Virtual Validation of Automotive Powertrain Systems in Terms of Vehicle Drivability—A Systematic Literature Review

2023

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For the last two decades, an extensive transition in automotive X-in-the-loop activities from isolated electronic control units to real-time related, geographically distributed validation tasks has occurred. Benefits are strengthening frontloading, enabling concurrent engineering and reducing prototypes and testing efforts. As a downside, comprehensive system understanding and adequate simulation models must be provided. New technological trends like software-over-the-air-updates denote a continuous validation process even after the start of production. The present review focuses on the virtual validation of vehicle longitudinal dynamics. This exemplary field of application receives more and more attention as electrification of the vehicle powertrain accelerates, and this property directly influences the vehicle DNA. A systematic review process based on the PRISMA workflow has been conducted, focusing on drivabilityrelated powertrain applications. The investigation reveals the following trends: First, increasing complexity of virtualisation methods and models for validation activities influenced by vehicle-to-everything and geographically distributed development. Second, missing standards for virtual validation and proof of representativeness for combined real-virtual testing. In addition, many studies only contemplate the advantages of hardware-in-the-loop-driven development, disregarding crucial limitations and risks for such approaches. In conclusion, there is no longer the question of whether to validate virtually but how to comprehensible realise virtual validation.

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“…Vehicle-in-the-loop simulation Sim-on-Wheels is considered a vehicle-in-the-loop simulation, because it incorporates the entire vehicle into the test. Early such methods use a simulated driving environment [48], [49], [50], [20], with attendant sim2real problems. MiRE [21] improves realism by using a body tracking system to map a human into the scene to act as a pedestrian, but the environment is far from realistic.…”

Section: Brake!mentioning

confidence: 99%

Sim-on-Wheels: Physical World in the Loop Simulation for Self-Driving

Shen,

Chandaka,

Lin

et al. 2023

IEEE Robot. Autom. Lett.

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We present Sim-on-Wheels, a safe, realistic, and vehicle-in-loop framework to test autonomous vehicles' performance in the real world under safety-critical scenarios. Sim-onwheels runs on a self-driving vehicle operating in the physical world. It creates virtual traffic participants with risky behaviors and seamlessly inserts the virtual events into images perceived from the physical world in real-time. The manipulated images are fed into autonomy, allowing the self-driving vehicle to react to such virtual events. The full pipeline runs on the actual vehicle and interacts with the physical world, but the safety-critical events it sees are virtual. Sim-on-Wheels is safe, interactive, realistic, and easy to use. The experiments demonstrate the potential of Sim-on-Wheels to facilitate the process of testing autonomous driving in challenging real-world scenes with high fidelity and low risk. Additional results and open-sourced code are available on our project page here: https://sim-on-wheels.github.io/.

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Extended Flexible Environment and Vehicle Simulation for an Automated Validation

Cited by 7 publications

References 4 publications

Future-robust product design – validating influencing factors on upgradeable mechatronic systems

Future-robust product design – validating influencing factors on upgradeable mechatronic systems

Methods for Virtual Validation of Automotive Powertrain Systems in Terms of Vehicle Drivability—A Systematic Literature Review

Sim-on-Wheels: Physical World in the Loop Simulation for Self-Driving

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