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.
Accelerating the Autonomous Vehicles Technology from Development to Deployment
Our Solutions for Autonomous Vehicles
We provide AV solutions to efficiently design, test, and deploy autonomous vehicle systems with precision and safety.
ML Model Development
Developing robust machine learning models to power intelligent autonomous driving systems.
AV Maps
Creating high-resolution, precise maps for accurate navigation and enhanced safety in autonomous vehicles.
Simulation
Running scenario-specific simulations to ensure safe and efficient performance of autonomous vehicles.
Performance Evaluation
Conducting root-cause analysis and benchmarking to ensure optimal autonomous vehicle performance and safety.
Scenario Datasets
Delivering diverse, high-quality datasets to train and test autonomous vehicle systems in real-world scenarios.
Data Analytics
Analyzing data to optimize autonomous vehicle performance and inform strategic decision-making.
Remote Assistance
Providing real-time support for operational guidance and troubleshooting of autonomous systems.
Fleet Operations
Streamlining autonomous vehicle fleet management for enhanced efficiency, reliability, and safety.
Product Validation
Ensuring compliance, reliability, and safety through comprehensive end-to-end product validation.
ODD Analysis
Analyzing Operational Design Domains to ensure autonomous systems perform optimally within specified environments.
End-to-end Solutions for Seamless Autonomous Vehicle Deployment
DDD provides whole product lifecycle solutions for Autonomous Vehicles, including ML model development, data labeling, sensor fusion, HD mapping, and simulation for reliability, safety, and go-to-market deployments for the next generation of autonomous mobility.
What Our Clients Say
Why choose DDD?
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.
Reliable Data Annotaion for Autonomous Driving System Demands a Disciplined Methodology
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Frequently Asked Questions (FAQ)
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We provide end-to-end data and AI solutions for autonomous vehicle (AV) and ADAS development, from data collection to annotation, quality assurance, and model training support. Our services power real-time perception, decision-making, and simulation pipelines.
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Our services reduce engineering overhead by handling critical data tasks such as:
Autonomous vehicle data collection (including sensor calibration, edge data ingestion, and scenario capture)
Multi-modal annotation (e.g., bounding boxes, segmentation, 3D lidar)
Dataset curation and QA
This helps automotive teams train, validate, and deploy AV models faster and more reliably.
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AI in autonomous vehicles powers perception (object detection, lane tracking), prediction (pedestrian/vehicle movement), and planning (route selection). We support AV AI development by delivering:
Clean, diverse, and high-quality training data
Custom annotation pipelines
Synthetic dataset augmentation
Evaluation workflows for model performance
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Yes. We assist AV companies with data collection operations, including:
Sourcing and configuring vehicle fleets
Installing multi-sensor rigs (lidar, radar, RGB, IR, GPS)
Edge logging and ingestion
Logging rare events and edge-case scenarios for simulation replay
We also support privacy compliance and labeling-ready pipelines.
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We work with both public and proprietary autonomous driving datasets, covering:
Urban and highway environments
Edge cases (e.g., occlusion, nighttime, bad weather)
Multi-sensor fusion data
Driver monitoring and in-cabin datasets
We also curate automobile datasets for localization, HD mapping, and SLAM applications.
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Yes. We specialize in data labeling for autonomous driving, supporting:
2D & 3D bounding boxes
Semantic segmentation
Instance segmentation
Keypoint annotation
Sensor fusion (RGB + LiDAR)
Lane and road boundary labeling
Our teams are trained in automotive ontology and tools like CVAT, Scale, and Supervisely.
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We support customers in building and scaling automotive datasets for:
Perception training (CV, LiDAR, radar)
Traffic light/sign recognition
Pedestrian and cyclist detection
Accident detection and emergency scenarios
In-vehicle driver behavior analysis
We also help enrich raw datasets with metadata and behavioral tags.
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8. Do you offer annotation services tailored for autonomous vehicles?
Absolutely. Our autonomous vehicle annotation services include frame-by-frame annotation for high-frequency sensor data, temporal consistency checks, sensor fusion handling, and version-controlled dataset management. We support automotive-grade scalability and confidentiality.
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We combine deep domain expertise in AV/ADAS systems with scalable teams, tooling flexibility, and a focus on data quality, security, and traceability. Whether you're a startup or OEM, we help you build safer autonomous systems faster and more cost-effectively.