Discover Expert Insights and Whitepapers on Autonomous Driving and ADAS
Deep dive into the latest technologies and methodologies that are shaping the future of autonomous driving.
Our innovative ADAS solutions enable you to efficiently design, test, and deploy advanced driver-assistance systems with precision and safety.
Building robust machine learning models to power intelligent driver-assistance systems.
Enabling safe, efficient testing with advanced, scenario-specific simulations.
Ensuring optimal ADAS functionality through rigorous performance assessments.
Delivering diverse, high-quality datasets to train and test ADAS systems.
Supporting ADAS operations with real-time remote guidance and expertise.
Streamlining ADAS-enabled fleet management for enhanced efficiency and reliability.
Ensuring compliance and reliability with end-to-end validation processes.
Define, operationalize, and visualize key metrics across system performance.
DDD’s ADAS solutions empower the future of mobility by enhancing driver safety and automation for Level 1 to Level 3 systems. We offer end-to-end solutions, including sensor integration, ML pipelines, data curation, and advanced features like lane-keeping and collision avoidance, ensuring precision, safety, and efficiency for ADAS applications.
Strategic
We bring industry-tested SMEs, provide training data strategy, and understand the data security and training requirements needed to deliver better client outcomes.
Reliable
Our global workforce allows us to deliver high-quality work, 365 days a year, across multiple countries and time zones. With 24/7 coverage, we are agile in responding to changing project needs.
Consistent
We are lifetime project partners. Your assigned team will stay with you - no rotation. As your team becomes experts over time they train more resources, that's how we achieve scalability.
Flexible
We are platform agnostic. We don't force you to use our tools, we integrate with the technology stack that works best for your project.
Deep dive into the latest technologies and methodologies that are shaping the future of autonomous driving.
Reliable Data Annotaion for Autonomous Driving System Demands a Disciplined Methodology
Read white paperDesADAS (Advanced Driver-Assistance Systems) are technologies that enhance vehicle safety and driver awareness by automating or assisting specific driving tasks. These systems include features like lane-keeping, adaptive cruise control, collision avoidance, and traffic sign recognition. Our ADAS solutions accelerate the development and deployment of safe, intelligent mobility by providing end-to-end support, from ADAS data annotation to fleet operations.
DesADAS data annotation is the process of labeling sensor inputs (e.g., video, LiDAR, radar) to help machine learning models detect and interpret road conditions, objects, and scenarios. At DDD, we offer:
Image and video annotation for lane detection, road signs, traffic lights, and pedestrians.
3D LiDAR & sensor fusion annotation for spatial understanding.
Scenario tagging to train models on specific edge cases (e.g., night driving, rain, heavy traffic).
Quality-controlled workflows to ensure accuracy and consistency at scale.
This annotated data is foundational for developing and validating ADAS object detection models.
DescripObject detection in ADAS requires high accuracy to identify vehicles, pedestrians, cyclists, road signs, and obstacles in real time. Our contributions include:
High-resolution ADAS data collection across diverse environments.
Detailed object annotation with bounding boxes, polygons, and instance segmentation.
Scenario-specific simulations to test and fine-tune model responses.
Performance evaluation services to assess precision, recall, and real-world behavior under different conditions.
We ensure your models are not only accurate but also safe and regulation-ready.
Yes. We specialize in delivering scenario-specific ADAS datasets for diverse driving environments, urban, rural, night-time, inclement weather, and more. Our services include:
Curating raw ADAS data from multiple sensors.
Annotating with edge-case tagging (e.g., jaywalking, blind spots).
Formatting and QC-ing data for downstream ML model development.
Supporting personalization for regional traffic conditions or localization needs.
Absolutely. DDD provides a complete suite of ADAS data services, including:
Sensor integration and data synchronization.
Annotation and labeling (2D/3D).
Simulation and testing support.
ODD (Operational Design Domain) analysis.
Product validation and regulatory reporting.
We assist with:
Remote assistance and DMS/CMS monitoring to ensure vehicle and driver safety in real time.
Operational tagging for analytics, diagnostics, and behavior modeling.
On-call fleet support, helping minimize downtime and enhance responsiveness.
End-to-end telemetry integration with your backend systems.
Our 24/7 global operations model ensures continuous coverage across regions and time zones.
Yes. We offer:
Regulatory compliance documentation.
Safety case development.
ODD boundary analysis.
Validation testing reports to meet industry standards like ISO 26262, Euro NCAP, and NHTSA.
Our validation support ensures your product is not just functional, but market-ready and certifiable.
Yes. We offer:
Scenario-specific simulation testing to reduce the need for expensive real-world driving hours.
Synthetic data creation and annotation for rare or risky conditions (e.g., near-miss collisions).
Simulation platform integration, including CARLA, LGSVL, and custom stacks.
This accelerates testing while covering edge cases that real-world data may miss.
Very. Our teams:
Operate across time zones with 24/7 global availability.
They are trained for domain-specific ADAS annotation tasks.
Scale rapidly without sacrificing quality, thanks to dedicated teams and built-in expert mentorship.
Our clients benefit from fast ramp-up times and long-term annotation consistency.
We work with:
Autonomous vehicle OEMs and Tier-1 suppliers.
Fleet operators deploying ADAS features at scale.
Simulation and mapping companies.
Mobility startups focused on safety, efficiency, and compliance.