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Safer mobility with real-life human factor
Resembler.ai is an industry-leading SaaS platform that collects and provides real accident and incident data from roadside and video footage, transforming how we approach road safety. With over 450 million km of accident data, Resembler.ai is a powerful contextual AI platform that leverages real-world data to help insurance providers, city planners, and mobility providers make informed decisions. By using AI for road safety, the platform offers insights based on human-factor AI solutions to validate the effectiveness of autonomous vehicles (AV), ADAS, and ITS algorithms.
What we offer
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ODD Assessment
Create a verification test plan based on your selected area of deployment. The resembler software will conduct a virtual drive-through and create a verification test plan based on our scenario database, and then create additional verification test plan based on actual incidents and accidents that may occur in your selected area of deployment. This plan can be used by urban planners, mobility providers, and autonomous software developers.
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Accident Video Processing
Convert your incident video into simulation ready format. Our software will create a model on GPS location with speed and tracks. It will be verified by our accidentology team and include tracks that can be imported into CARLA or similar simulators, and include crash energy, danger progression, frame of first danger and two (2) synthetic scenarios worst and best. Optionally, you can request similar (real-world) incidents and accidents in our database.
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Resembler Accident Database
A regulatory-grade dataset of 450M km of real-world incidents and accidents for benchmarking AV systems against human driving. Featuring expert annotations, proprietary risk models, and advanced similarity search, it supports detailed testing across diverse environments. Perfect for advancing AV safety and reliability.
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Our Numbers
5
Years of Data
km Coverage
495,300,126
Europe, US and Asia
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Discover the unparalleled potential of Resembler.ai, a cutting-edge platform backed by over 450 million km of real-world AV incident data. This extensive dataset provides critical insights for validating self-driving systems and assessing Operational Design Domain (ODD) performance. The platform’s ODD Assessment Tool leverages contextual AI to generate test cases and KPIs based on actual incidents, enabling developers to enhance the safety of autonomous driving systems. Through real-time analysis of erratic traffic behaviour, this tool helps organizations mitigate risks in deploying autonomous vehicles and ADAS technologies.
Resembler.ai offers an innovative ODD Comparison Tool to compare areas of deployment and ODDs across regions. This tool identifies differences in road infrastructure, environment, and other factors that impact self-driving deployment.
Whether analyzing urban or highway environments, the tool enables city planners and developers to make data-driven improvements to automated driving technologies, ensuring risk mitigation in AV deployment.
The Resembler Icon Query Language (RIQL) facilitates in-depth querying and analysis of the platform’s comprehensive 450M km AV dataset. By leveraging insights from the AV Human Benchmark Dataset, users can swiftly analyze data and gain a deeper understanding of autonomous vehicle performance. This tool supports detailed analysis across various parameters, helping organizations build safer, more robust AV systems.
Resembler.ai’s dataset, enriched with expert-led annotations, includes detailed instances with bounding boxes, risk progression data, and contextual tags. This real-world accident data enables developers to verify and enhance the safety of self-driving systems across diverse environments. By turning real-world accidents into structured risk-based analytics, Resembler.ai empowers organizations to develop safer technologies, reduce accidents, and shape the future of transportation.
Whether you're an insurance provider refining risk models or a developer improving AV systems, Resembler.ai provides the tools and insights needed. Its web-based AI platform offers advanced features like risk assessment, accident link-back, digital-twin, and risk mitigation, helping organizations predict and prevent accidents, and making transportation safer for all.
