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DDD partners with leading automotive innovators to build safer, more intelligent driver-assistance systems through scalable AI Data Solutions.
97%
99% for critical events like eyes-closed / phone-use
DMS event labeling accuracy
≥95%
of lane points within 20 px
Lane-point accuracy
≥95%
pass rate at KITTI overlap thresholds
Bounding box quality
Bridging the Gap between Safety, Innovation, and Peak Performance
DDD offers comprehensive ADAS solutions to scale model development, scenario generation, geospatial mapping, and product validation with precision. We ensure high-integrity datasets and testing assets that accelerate model maturity, regulatory readiness, and real-world ADAS reliability.
Strategic
We deliver end-to-end ADAS solutions, from sensor integration to ML pipelines, ensuring precision and safety.
Reliable
Our 24/7 global workforce adapts to shifting needs, delivering high-quality ADAS data solutions across time zones.
Consistent
Your dedicated team stays with you, building expertise over time and training new resources for seamless scalability.
Flexible
We integrate with your existing tech stack, ensuring smooth implementation and optimized performance for your ADAS applications.
Our Solutions for ADAS
Our end-to-end ADAS solutions enable you to efficiently design, test, and deploy advanced driver-assistance systems with precision and safety.
Our ADAS Use Cases
What Our Clients Say
Customer Success Stories
See how DDD accelerates ADAS innovation through data-driven success stories.
LiDAR Segmentation for ADAS with 97%+ Quality
Our client needed a highly skilled and rapidly scalable annotation team capable of segmenting and labeling massive LiDAR datasets with exceptional precision to ensure safe and reliable ADAS performance.
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AI Driven Engineering Solutions
Empowering enterprises with scalable AI and ML deployment strategies.
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Optimizing Model Performance Through LLM Fine-Tuning Expertise
See how DDD accelerates Autonomous Driving innovation through data-driven success stories.
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AI Driven Engineering Solutions
Empowering enterprises with scalable AI and ML deployment strategies.
Explore solutions →
Discover Our Expert Insights and Whitepapers
Deep dive into the latest technologies and methodologies shaping the ADAS industry.
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Overcoming the Challenges of Night Vision and Night Perception in Autonomy
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Frequently Asked Questions
What ADAS services does DDD provide?
DDD offers end-to-end ADAS data and validation solutions, including ML model development, scenario mining, geospatial and HD mapping services, product verification and validation (V&V), and in-cabin AI datasets. Our solutions support the full ADAS lifecycle, from early model training to regulatory-ready deployment.
Which sensor modalities does DDD support for ADAS?
We work across camera, LiDAR, radar, and multimodal sensors. Our teams handle raw sensor log processing, structured data mining, high-precision annotation, and model-specific dataset creation optimized for real-world ADAS performance.
How does DDD support ADAS model training and evaluation?
DDD delivers scalable, domain-informed datasets tailored to specific ADAS functions such as perception, prediction, and control. We support training, validation, and benchmarking workflows with high-integrity ground truth data and scenario diversity to improve model robustness.
Can DDD help with rare events and edge-case scenarios?
Yes. We specialize in scenario mining from fleet data, identifying edge cases, and annotating complex traffic interactions. These datasets are designed to strengthen ADAS performance in rare, safety-critical, and long-tail scenarios.
What geospatial and HD mapping capabilities does DDD offer?
DDD provides HD map structuring, lane and road geometry extraction, infrastructure mapping, and spatial feature annotation. Our geospatial datasets enhance localization accuracy, environmental awareness, and navigation reliability for ADAS systems.
How does DDD support ADAS product verification and validation (V&V)?
We deliver structured V&V pipelines, including ground-truth annotation, simulation-aligned QA, functional safety validation, and multi-stage testing workflows. Our approach ensures ADAS features meet performance benchmarks, safety requirements, and compliance standards.
Does DDD support Driver Monitoring Systems (DMS) and in-cabin AI?
Yes. We create high-quality datasets for DMS, OMS, gesture recognition, distraction and fatigue detection, and broader in-cabin environment understanding. Our human-centric annotation ensures accurate interpretation of occupant behavior and regulatory readiness.