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AUTONOMOUS DRIVING

AI training data solutions for self-driving vehicles

Autonomous Driving Solutions

Comprehensive data solutions for autonomous vehicle development

Autonomous driving requires sophisticated AI models trained on diverse, high-quality multi-modal data. Data-Factory provides comprehensive data collection and annotation services specifically designed for autonomous vehicle development, covering LiDAR point clouds, camera images, radar data, and voice navigation systems.

Our specialized annotation platform and expert team ensure precise labeling of road scenes, traffic signs, pedestrians, vehicles, and complex driving scenarios to help your autonomous driving systems achieve higher levels of safety and reliability.

Autonomous Driving Solutions

Key Challenges

Addressing autonomous driving data needs

Multi-Modal Perception

Autonomous vehicles must process and understand data from multiple sensors simultaneously, including cameras, LiDAR, radar, and ultrasonic sensors. Our multi-modal data collection and annotation services ensure comprehensive coverage of all sensor types with precise synchronization and alignment.

Road Scene Understanding

Complex road scenes require detailed annotation of lanes, traffic signs, road markings, intersections, and various road conditions. We provide comprehensive street scene recognition datasets covering diverse environments, weather conditions, and traffic scenarios.

Voice Navigation Systems

In-vehicle voice assistants and navigation systems require natural language understanding in various languages and accents. We collect and annotate voice command data, navigation queries, and in-car conversation datasets to enhance voice interaction capabilities.

Safety-Critical Annotation

Autonomous driving demands extremely high annotation accuracy for safety-critical scenarios. Our quality assurance processes include multi-level review, expert validation, and continuous quality monitoring to ensure the highest standards of data accuracy.

Our Solutions

Comprehensive data services for autonomous driving

LiDAR Point Cloud Annotation

Precise 3D point cloud annotation for object detection, segmentation, and tracking. Support for various LiDAR formats and annotation tools optimized for autonomous driving scenarios.

Multi-Angle Video Recording

Comprehensive video data collection from multiple camera angles, covering front, rear, side, and interior views. Diverse scenarios including urban, highway, parking, and adverse weather conditions.

Street Scene Recognition

Detailed annotation of road infrastructure, traffic signs, lane markings, intersections, roundabouts, and complex traffic scenarios. Support for various road types and international standards.

Voice Command Data

Natural language voice command collection and annotation for in-vehicle systems. Support for multiple languages, accents, and noise conditions to enhance voice recognition accuracy.

Object Detection & Tracking

Precise annotation of vehicles, pedestrians, cyclists, animals, and other objects with bounding boxes, segmentation masks, and tracking IDs across video sequences.

Custom Annotation Platform

Specialized annotation platform designed for autonomous driving scenarios with advanced tools for 3D annotation, temporal consistency, and multi-sensor data synchronization.

Our Work Process

How we deliver autonomous driving data solutions

01

Requirements Analysis

We analyze your autonomous driving project requirements, sensor configurations, annotation specifications, and quality standards to create a customized data strategy.

02

Data Collection & Annotation

Our expert team collects multi-modal data and performs precise annotation using specialized tools and platforms designed for autonomous driving scenarios.

03

Quality Assurance & Delivery

We conduct rigorous quality checks, expert reviews, and validation to ensure data accuracy. Deliverables are provided in your preferred format with comprehensive documentation.

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