Approaches for the Homologation of Automated Driving

Düser, Tobias; Abdellatif, Houssem; Gutenkunst, Christian; Gnandt, Christian

doi:10.1007/s38314-019-0107-4

Cited by 8 publications

(4 citation statements)

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“…Much effort has been spent on the development of performance indicators [37,38] and scenario databases [39,40], focusing on data-driven aspects like longitudinal control (acceleration, braking, and road speed), lateral control (lane discipline), and environment monitoring (headway, side, and rear) as single aspects and when moving into morecomplex scenarios in combination. This combination poses a challenge to proving ground capabilities due to the high level of coordination needed to realise the scenarios.…”

Section: Establish Safety-performance Indicators and Functional Scena...mentioning

confidence: 99%

Enhancing Safety Assessment of Automated Driving Systems with Key Enabling Technology Assessment Templates

Skoglund,

Warg,

Thorsén

et al. 2023

Vehicles

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The emergence of Automated Driving Systems (ADSs) has transformed the landscape of safety assessment. ADSs, capable of controlling a vehicle without human intervention, represent a significant shift from traditional driver-centric approaches to vehicle safety. While traditional safety assessments rely on the assumption of a human driver in control, ADSs require a different approach that acknowledges the machine as the primary driver. Before market introduction, it is necessary to confirm the vehicle safety claimed by the manufacturer. The complexity of the systems necessitates a new comprehensive safety assessment that examines and validates the hazard identification and safety-by-design concepts and ensures that the ADS meets the relevant safety requirements throughout the vehicle lifecycle. The presented work aims to enhance the effectiveness of the assessment performed by a homologation service provider by using assessment templates based on refined requirement attributes that link to the operational design domain (ODD) and the use of Key Enabling Technologies (KETs), such as communication, positioning, and cybersecurity, in the implementation of ADSs. The refined requirement attributes can serve as safety-performance indicators to assist the evaluation of the design soundness of the ODD. The contributions of this paper are: (1) outlining a method for deriving assessment templates for use in future ADS assessments; (2) demonstrating the method by analysing three KETs with respect to such assessment templates; and (3) demonstrating the use of assessment templates on a use case, an unmanned (remotely assisted) truck in a limited ODD. By employing assessment templates tailored to the technology reliance of the identified use case, the evaluation process gained clarity through assessable attributes, assessment criteria, and functional scenarios linked to the ODD and KETs.

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Section: Establish Safety-performance Indicators and Functional Scena...mentioning

confidence: 99%

Enhancing Safety Assessment of Automated Driving Systems with Key Enabling Technology Assessment Templates

Skoglund,

Warg,

Thorsén

et al. 2023

Vehicles

View full text Add to dashboard Cite

show abstract

“…Homologation as regulated proof for the approval of vehicle systems is therefore moving to the center of development." (Düser et al 2019) Furthermore, to achieve "homologation of automated driving functions, the real and the virtual world must be combined." (Düser et al 2019 Fig.…”

Section: X-in-the-loop Simulationmentioning

confidence: 99%

“…(Düser et al 2019) Furthermore, to achieve "homologation of automated driving functions, the real and the virtual world must be combined." (Düser et al 2019 Fig. 7 Example of the topology of a hardware-in-the-loop simulator, inspired by Paulweber and Lebert (2014) 3.4…”

Section: X-in-the-loop Simulationmentioning

confidence: 99%

Systems Engineering Methods and Tools

Fritz¹,

Zingel²,

Kokko³

et al. 2020

Systems Engineering for Automotive Powertrain Development

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The automotive industry faces radical changes induced by new and potentially disruptive technologies emerging from digital transformation. At the same time, the increased demand for energy efficiency, CO 2 neutrality, autonomous driving, connectivity, and artificial intelligence is leading to fundamentally new business models. These new business models also open up opportunities for new market entrants. Global competition is also further increasing pressure on the players. This chapter focuses on selected systems engineering methods and tools that support activities throughout the automotive development process. They provide the required functionality to author, modify and manage the results of systems engineering, and adhere to positive user experience fostering user acceptance and tool adoption in daily work. Through systematic use of systems engineering methods and tools, omissions and false assumptions caused by complexity can be identified early, so that their impact can be minimized. The constant change in artifacts is traced and managed through the systems engineering project lifecycle.

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“…환경 기반의 시험평가 기법이 떠오르고 있다 [5,6] . 기존 자율주행 차량은 정형화된 도로 환경에서 주 행됨에 따라 일반적으로 카메라를 통해 측정된 영상 을 주로 사용하여 환경을 인지한다.…”

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Real-virtual Point Cloud Augmentation Method for Test and Evaluation of Autonomous Weapon Systems

Yeo,

Hwang,

Tae

2024

J. KIMS Technol

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Autonomous weapon systems act according to artificial intelligence-based judgement based on recognition through various sensors. Test and evaluation for various scenarios is required depending on the characteristics that artificial intelligence-based judgement is made. As a part of this approach, this paper proposed a LiDAR point cloud augmentation method for mixed-reality based test and evaluation. The augmentation process is achieved by mixing real and virtual LiDAR signals based on the virtual LiDAR synchronized with the pose of the autonomous weapon system. For realistic augmentation of test and evaluation purposes, appropriate intensity values were inserted when generating a point cloud of a virtual object and its validity was verified. In addition, when mixing the generated point cloud of the virtual object with the real point cloud, the proposed method enhances realism by considering the occlusion phenomenon caused by the insertion of the virtual object.

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Approaches for the Homologation of Automated Driving

Cited by 8 publications

References 0 publications

Enhancing Safety Assessment of Automated Driving Systems with Key Enabling Technology Assessment Templates

Enhancing Safety Assessment of Automated Driving Systems with Key Enabling Technology Assessment Templates

Systems Engineering Methods and Tools

Real-virtual Point Cloud Augmentation Method for Test and Evaluation of Autonomous Weapon Systems

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