In today's world, Operational design domain is a topic that has become increasingly relevant and interesting in different areas. Both in the political, social, and economic spheres, as well as in people's daily lives, Operational design domain has captured the attention of millions of individuals around the world. The importance of Operational design domain is reflected in the diversity of opinion and approaches that exist around this topic, as well as in the constant evolution and change it experiences over time. This is why it is crucial to deepen the understanding of Operational design domain, analyzing its implications and discussing its different facets. In this article, we will delve into the world of Operational design domain, exploring its different dimensions and addressing the debates surrounding this topic that is so relevant today.
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Operational design domain (ODD) is a term for a particular operating context for an automated system, often used in the field of autonomous vehicles. The context is defined by a set of conditions, including environmental, geographical, time of day, and other conditions. For vehicles, traffic and roadway characteristics are included. Manufacturers use ODD to indicate where/how their product operates safely. A given system may operate differently according to the immediate ODD.
The concept presumes that automated systems have limitations. Relating system function to the ODDs it supports is important for developers and regulators to establish and communicate safe operating conditions. Systems should operate within those limitations. Some systems recognize the ODD and modify their behavior accordingly. For example, an autonomous car might recognize that traffic is heavy and disable its automated lane change feature.
ODD is used for cars, for ships, trains, agricultural robots, and other robots.
Various regulators have offered definitions of related terms:
Definition | Source |
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"operating conditions under which a given driving automation system ... or feature thereof is specifically designed to function" | ISO/TS 14812:2022(en), 3.7.3.2 |
"operating conditions under which a given automated driving system ... or feature thereof is specifically designed to function, including, but not limited to, environmental, geographical, and time-of-day restrictions, and/or the requisite presence or absence of certain traffic or roadway characteristics" | ISO/TR 4804:2020(en), 3.37 |
"operating conditions under which a given driving automation system or feature thereof is specifically designed to function, including, but not limited to, environmental, geographical, and time-of-day restrictions, and/or the requisite presence or absence of certain traffic or roadway characteristics" | ISO 34501:2022(en), 3.26 |
"specific conditions under which a given driving automation system is designed to function" | ISO 21448:2022(en), 3.21 |
"operating conditions under which a given driving automation system or feature thereof is specifically designed to function" | BSI PAS 1883 |
"set of environments and situations the item is to operate within" | ANSI/UL 4600 |
"environmental, geographic, time-of-day, traffic, infrastructure, weather and other conditions under which an automated driving system is specifically designed to function" | Global Forum for Road Traffic Safety (WP.1) resolution on the deployment of highly and fully automated vehicles in road traffic |
"For the assessment of the vehicle safety, the vehicle manufacturers should document the available on their vehicles and the functionality of the vehicle within the prescribed . The should describe the specific conditions under which the automated vehicle is intended to drive in the automated mode. The should include the following information at a minimum: roadway types; geographic area; speed range; environmental conditions (weather as well as day/night time); and other domain constraints." | Revised Framework document on automated/autonomous vehicles (WP.29) |
An "automated lane keeping system defines the specific operating conditions (e.g. environmental, geographic, time-of-day, traffic, infrastructure, speed range, weather and other conditions) within the boundaries fixed by this regulation under which the automated lane keeping system is designed to operate without any intervention by the driver." | UN Regulation No 157 – Uniform provisions concerning the approval of vehicles with regards to Automated Lane Keeping Systems |
An ODD is defined in terms of physical infrastructure, operational constraints, objects, connectivity, environmental conditions, and zones.
Physical infrastructure includes roadway types, surfaces, edges and geometry. Operational constraints include speed limits and traffic conditions. Environmental conditions include weather, illumination, etc. Zones include regions, states, school areas, and construction sites. |
US Department of Transportation report |
In 2022, Mercedes-Benz announced a product with an ODD of Level 3 autonomous driving at 130 km/h.