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ROADVIEW Robust Automated Driving in Extreme Weather: Deliverable D2.1 : Definition of the complex environment conditions . WP2 – Physical system setup, use cases, requirements and standards. Project No. 101069576
RISE Research Institutes of Sweden, Säkerhet och transport, Elektrifiering och pålitlighet.ORCID-id: 0000-0003-4069-6252
CEREMA, France.
University of Warwick, UK.
University of Warwick, UK.
Visa övriga samt affilieringar
2023 (Engelska)Rapport (Övrigt vetenskapligt)
Abstract [en]

The overarching goal of the ROADVIEW project is performance improvements in perception and decision-making subsystems for connected automated vehicles (CAVs) under harsh weather conditions such as rain, fog, or snow, which is necessary to enable the widespread use of automated vehicles. In support of this overarching goal, this deliverable (D2.1) describes complex environments—including levels of harsh weather conditions and density of heterogeneous traffic—to be used for the R&D activities and evaluations in WPs 3 – 8. The environment descriptions are in the form of operational design domain (ODD) definitions meant to be combined with the use cases defined in D2.2. The ODD definitions are specified by using and extending the ODD taxonomy defined in ISO 34503 [3], considering the needs of the ROADVIEW use cases, and the environmental conditions especially relevant for the sensor types investigated in the project. This deliverable first defines terminology related to driving automation systems, ODDs, and testing—where a key purpose is to verify that the CAV operates safely within its ODD. Then harsh weather conditions and the main sensor types intended to be used in the project are discussed. Sensors are investigated with respect to which weather conditions and which metrics for these conditions are relevant to perform verification against the defined ODD (e.g., rain metrics can be intensity specified in mm/h and droplet size distribution). Next follows a discussion on particularly relevant ODD attributes and why we have chosen certain metrics and classifications, and in some instances added new attributes not mentioned in ISO 34503. Finally, ODD definitions are developed for the different types of road environments, or drivable areas, defined in D2.2, i.e., highway, urban traffic, and rural road. D2.2 also defines several use cases for automated vehicles that are relevant for these drivable areas and will be used by the other WPs, together with the ODD definitions from this deliverable, to create test scenarios. Objectives The main objective of this deliverable is to create ODD definitions for the use cases investigated in the project, especially detailing harsh weather conditions with a focus on rain, fog, and snow. By combining these harsh conditions with use cases defined in D2.2, the project will have the basis for working on perception and decision-making improvements for such conditions, and for defining relevant test cases to apply in different test environments used in the project (simulation, x-in-the-Loop, weather test facilities, test tracks, and open-road tests). Together, D2.1 and D2.2 aim to fulfil ROADVIEW Objective 1: Define complex environmental conditions and use case specifications. Methodology and implementation Since the overarching goal of ROADVIEW is to improve performance for CAVs in harsh weather conditions, this deliverable aims to specify an ODD taxonomy specifically including (1) operational conditions relevant for harsh weather conditions with respect to the design and verification of advanced environmental sensors and decision-making systems, and (2) operational conditions relevant for the specific use-cases to be evaluated in the project. The methodology was to, as far as possible, make sure the project uses ODD taxonomy and other terminology from existing sources, in particular existing or soon-to-be-released standards [1][2][3][4][6], to make sure we use terms in a way already established in the automotive domain and avoid inventing new terms where there are already existing alternatives. Given this starting point, a group of experts in sensor technology, test environments, and the providers of use cases have collected and analysed what kind of harsh conditions should be included, and if there is a need to refine the existing ODD taxonomy with new or more detailed attributes or new metrics. Finally, an ODD definition is developed corresponding to each of the three types of drivable areas defined in D2.2. Outcomes This deliverable provides initial ODD definitions covering the drivable areas developed in deliverable D2.2—urban (city) traffic, (multi-lane) highway, and (single-lane) rural road, with and without infrastructure extensions—given our knowledge in the early phases of the ROADVIEW project. Refinements that may be necessary during the project will be described in later project deliverables. Next steps The use cases are further defined in deliverable D2.2. The further work towards the overarching goal performed in ROADVIEW WP 3-8 will use the ODD taxonomy and use case specifications as input for the evaluation and demonstration of the improvements developed in the project. Evaluation of the system prototypes used in the project is part of the integration and demonstration work package (WP8).

Ort, förlag, år, upplaga, sidor
2023. , s. 48
Nationell ämneskategori
Farkostteknik
Identifikatorer
URN: urn:nbn:se:ri:diva-68608OAI: oai:DiVA.org:ri-68608DiVA, id: diva2:1819846
Anmärkning

Funded by the European Union (grant no. 101069576). Views and opinions expressed arehowever those of the author(s) only and do not necessarily reflect those of the EuropeanUnion or European Climate, Infrastructure and Environment Executive Agency (CINEA).Neither the European Union nor the granting authority can be held responsible for them.UK and Swiss participants in this project are supported by Innovate UK (contract no.10045139) and the Swiss State Secretariat for Education, Research and Innovation (contractno. 22.00123) respectively.

Tillgänglig från: 2023-12-15 Skapad: 2023-12-15 Senast uppdaterad: 2024-04-24Bibliografiskt granskad

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