YiRenTech中

autonomous driving data

YiRen provides reliable data collection, 4D point cloud auto-annotation, long-tail scenario mining, and real-time privacy processing for autonomous driving models.

Autonomous Driving Datasets

Custom datasets and scenario libraries for autonomous driving, backed by nationwide collection to accelerate long-tail coverage, iteration, and compliance testing.

  • AI Annotation: VLM-Assisted 4D Point-Cloud Annotation
  • Long-tail scenario mining: For corner cases such as stormy nights, construction zones, and irregular obstacles
  • Real-Time Data Anonymization: With automatic license plate and face blurring to meet compliance requirements

Smart Cockpit

Integrated intelligent and digital solutions that advance vehicle innovation, user experience, and sustainable growth.

  • In-Vehicle Claw: Self-Evolving, long-term memory, multimodal
  • HMI: Multi-screen interaction design centered on user experience, creating an immersive cockpit interface with minimal cognitive load.
  • AI Voice: Always-available, wake-word-free interaction, multi-turn dialogue, dialect recognition, and voice biometric authentication
  • In-Vehicle Entertainment: Immersive media, gaming ecosystem integration, and AR navigation fusion

IoV and Data Platform

Modular IoV, data platform, and vehicle-road-cloud solutions connecting the end-to-end data value chain.

  • IoV Access: Real-time ingestion and processing of massive vehicle data with support for millions of concurrent device connections
  • Data Platform Governance: Data cleansing, fusion, analytics, and visualization to build enterprise-grade data assets
  • Vehicle-Road-Cloud Coordination: Integrated collaboration across vehicles, roadside systems, and the cloud for network-wide traffic optimization
  • Operations Analytics: Multidimensional operational analysis and visualization dashboards that support smarter business decisions

FAQ

Which autonomous driving data services does YiRen provide?

YiRen provides autonomous driving datasets, intelligent-driving scenario collection, smart cockpit data, IoV data platforms, and compliant data operations.

Why does autonomous driving require real road and scenario data?

Models must cover long-tail roads, complex traffic participants, changing weather and light, and urban traffic behavior. Real-world data improves training, validation, and safety evaluation.

What does YiRen’s autonomous driving data capability cover?

Capabilities span autonomous driving datasets, smart cockpits, IoV and data platforms, supporting intelligent-driving R&D, road testing, data governance, and algorithm iteration.