Our Solutions
1
ODD Assessment
Resembler provides a platform to create verification test reports for autonomous driving systems using virtual drive-throughs and resembled global accidents. It enables performance comparisons between deployment areas (ODDs) and supports cities and mobility providers in planning and testing for incremental deployment.
2
Accident Video Processing
Resembler converts incident videos into simulation-ready formats, placing them on actual GPS locations or virtual maps. It identifies similar incidents for ADAS/NCAP test cases and generates high-quality verification test plans, including KPI targets. Users can request simulator input files and next-gen test cases for advanced safety algorithm development.
3
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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Resembler.ai is an industry leading SaaS Platform that collects and provides real accident and incident data from roadside/video footage:
Automotive
Videos, archetypes and simulator input to verify ADAS and AD algorithms.
City Infrastructure
Verification test plan for area of automated vehicle deployment (ODD) based on real accidents that are remapped to your area with KPI data for perception, planning and control.
Insurance
Convert incident and accident video footage into behavioral archetypes backed by our vast dataset, providing precise geo-located risk assessments and structured analytics to inform insurance policies and claims management.
Provide risk management to routes by providing advanced safety messaging and safety routing information.