| Intelligent Accident Scenarios Construction |
| Date:2025-08-17 10:34:33 | Page view： |
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.
Four Major Industry PainPoints Hindering the Advancement of Autonomous Driving SafetyData Chain Breakage: Original accident data is "unobtainable and incomplete" Shallow Value Mining: Massive data is "understandable but not deeply usable" Weak Credibility of Conclusions: Accident liability is "explainable but not accurately determinable" Disconnection in Scenarios Restoration: Digital twins are "built quickly but cannot be connected" PART/1 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.  PART/2 Core Technical Advantages
PART/3 Data Application Fields CASE Autonomous sweeper accidents
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!  |
| Prev:【Industry Focus】2025 Intelligent Chassis Seminar Concluded in Tianjin; Digauto Joined the New Driving Unit Testing Technology Working Group Next: |
