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Intelligent Driving Data Solution
All-Knowing delivers end-to-end intelligent-driving data solutions — from on-road field collection and in-cabin occupant-behavior capture to fine-grained, multi-source annotation. Powered by a multimodal data pipeline and full compliance credentials, we cover the complete spectrum of data types, including vision, LiDAR, and in-vehicle speech.
  • Multi-scenario Road Collection
  • In-cabin Speech Collection
  • DMS/OMS Capture
  • OCC (occupancy) Annotation
  • Point-cloud Semantic Segmentation
  • 2D/3D Fusion Annotation
  • Panoramic Semantic Segmentation
  • In-cabin Driver & Occupant Capture
  • Impaired-driver Capture
  • Point-cloud BEV Annotation
Application Scenarios
OMS—Occupant Monitoring
Full coverage of all in-cabin occupants, with precise annotation of passenger count, body posture, children, pets, and left-behind objects.
Intelligent Navigation Voice Interaction
In-vehicle speech dataset collection and annotation across real driving conditions — highway/urban road noise, open windows, and HVAC wind noise.
Exterior-Assisted Driving
Massive real-world road data from urban, highway, and rural roads under rain, snow, fog, and nighttime conditions, enabling precise environmental perception.
DMS—Driver Monitoring
Standardized training data for driving-safety algorithms across complex conditions — varied lighting, vehicle models, day/night, tunnels, and backlight.
Service Advantages
01
Standardized Pipeline
A closed-loop collection-annotation-QA process that handles parallel multi-project delivery and rapidly produces unified, standard-compliant autonomous-driving datasets.
02
End-to-End Data Security
Full-face and license-plate anonymization, isolated data with auditable operations, on-premise annotation support, and compliance with automotive-grade security audit standards.
03
Massive Data Reservoir
Real-world footage spanning all climates, time windows, and road conditions, with support for customized field collection.
01
Standardized Pipeline
A closed-loop collection-annotation-QA process that handles parallel multi-project delivery and rapidly produces unified, standard-compliant autonomous-driving datasets.
02
End-to-End Data Security
Full-face and license-plate anonymization, isolated data with auditable operations, on-premise annotation support, and compliance with automotive-grade security audit standards.
03
Massive Data Reservoir
Real-world footage spanning all climates, time windows, and road conditions, with support for customized field collection.
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