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Intelligent Accident Scenarios Construction


In today's era of rapid development of autonomous driving technology, accurately identifying accident risks and improving system safety have become common challenges faced by automakers, insurance institutions, and regulatory authorities. Traditional accident analysis relies on empirical judgments, with fragmented data and non-standardized processes, making it difficult to meet the safety needs of complex traffic scenarios.

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Four Major Industry Pain 

Points Hindering the Advancement of Autonomous Driving Safety



01


Data Chain Breakage: Original accident data is "unobtainable and incomplete"

02


Shallow Value Mining: Massive data is "understandable but not deeply usable"

03


Weak Credibility of Conclusions: Accident liability is "explainable but not accurately determinable"

04


Disconnection in Scenarios Restoration: Digital twins are "built quickly but cannot be connected"




PART/Core Capability System








Digauto's intelligent accident scenarios construction: from accident scene investigation, in-depth traceability forensics to structured database construction, realizes a standardized closed-loop of the entire process of [data collection - analysis - application]. It supports vertical penetration from basic data to top-level policies and enables horizontal expansion in multiple fields.

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PART/Core Technical Advantages










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PART/Data Application Fields









CASE

Autonomous sweeper accidents

  • Digital traffic scenarios

  • Digital database of traffic events

  • Digital scenarios simulation platform for real events

  • Enterprise safety portrait generation (including historical accidents/rectification feedback)

  • Analysis white papers based on real events (guiding industrial layout)

  • Impact assessment of policy and regulation changes on scenarios risks

  • Effectiveness evaluation of new products/new technologies

  • Compilation of national/industry standards for accident data analysis applications

  • Pre-approval compliance services

  • 15,000+ digital sandboxes for typical accident scenarios

  • Accident severity prediction model

  • Accident liability analysis and evaluation manual

  • FCW+AEB predictive avoidance large models for commercial/passenger vehicles




Market Empowerment

With "data-driven safety" as the core, Digauto realizes the in-depth empowerment of safety value in all links of the industrial chain through the full-chain services of compliant investigation, scientific analysis, and intelligent application!

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