Physical AI Geospatial Services HD Map Annotation

HD Map Annotation Services for Physical AI

DDD builds custom HD maps that match your domain, geography, and operational complexity.

High-Fidelity HD Map Annotation for Intelligent AI Systems

Digital Divide Data (DDD) provides comprehensive HD map annotation services. DDD annotates detailed, machine-readable maps that help your models perceive, plan, and interact with the real world safely and efficiently.

Fully Managed HD Map Annotation Workflow

A complete, transparent, and quality-driven HD mapping lifecycle managed from requirements to final delivery.

Discovery & Scoping

We align on objectives, feature classes, standards, and accuracy thresholds to ensure HD maps directly power your downstream AI workflows.

Annotation Schema & Workflow Design

We architect the full HD map data model, rules, hierarchies, instructions, and tooling for consistent, scalable, multi-layer annotation.

Contributor Recruitment & Training

We build and certify a specialized geospatial workforce skilled in LiDAR, remote sensing, and HD map semantics for precise, reliable outputs.

Annotation, Layer Creation & Map Enrichment

We convert multi-sensor data into detailed, centimeter-level map layers covering roads, terrain, assets, and environments for safety-critical systems.

Quality Review, Validation & Topological Checks

We run rigorous geometric, semantic, and topological validations to ensure every map layer meets specifications and maintains internal coherence.

Delivery, Iteration & Continuous HD Map Updates

We deliver versioned HD map layers in your formats and support ongoing updates, expansions, and rapid scalability across new geographies.

Data Modalities We Annotate for HD Maps

We work across all major geospatial data sources that power physical AI.

LiDAR Point Clouds

High-density LiDAR enables highly accurate 3D reconstruction of the environment. DDD annotates and models:

Road surface geometry, slopes, and elevation profiles
Object detection: vehicles, poles, trees, signage, barriers
Ground and non-ground segmentation
Building outlines, rooftops, and height estimation
Vegetation extraction and classification
Structural and terrain irregularities for navigation risk modeling

Aerial, Drone & Satellite Imagery

Our teams annotate:

Road networks and right-of-way boundaries
Land-use & land-cover categories
Agricultural fields, crop rows, irrigation systems
Powerlines, pipelines, and critical infrastructure
Flood mapping, burn scars, storm impact zones

Street-Level & Vehicle-Mounted Imagery

Ideal for AV systems and smart-city applications, we map:

3D Lane markings, centerlines, dividers, shoulders, turn arrows
Traffic lights, signs, billboards, poles, and road furniture
Sidewalks, crosswalks, curbs, gutters, medians
Construction zones, temporary road changes, barriers
Parking zones, loading areas, and public transportation stops

Multi-Sensor Video & Panoramic Imaging

We support frame-by-frame, sequence-based, and multi-sensor alignment workflows to generate:

Semantic scene understanding layers
Temporal road condition analysis
Object behavior and movement mapping
Localization landmarks and persistent map features

Industries We Support

DDD’s HD Map Annotation services support a wide range of AI initiatives, including:

Autonomous Driving

High-precision HD maps that power safe, reliable localization and perception for autonomous vehicles.

Agriculture

Geospatially rich land and crop intelligence that boosts yield prediction, automation, and precision farming.

Defensetech

Mission-ready mapping and terrain intelligence that enhances situational awareness and autonomous defense systems.

Disaster Management

Accurate, rapidly produced geospatial layers that support faster response, risk assessment, and recovery planning.

Urban Planning & Smart Cities

Foundational spatial data that enables smarter mobility, infrastructure optimization, and city-scale digital twins.

What Our Clients Say

DDD’s geospatial annotation pipeline enabled our urban-mapping startup to generate clean, consistent HD map layers across multiple cities, reducing model debugging time by more than half.

— Head of Data Science, Intelligence Firm

With DDD’s autonomy-focused annotation workflows and LiDAR expertise, we cut map production times by 40%, accelerating the rollout of our next-generation ADAS features.

— Director of AI, Autonomous Vehicle Company

The agricultural mapping dataset produced by DDD improved our early-season crop stress predictions by 15% and enabled downstream robotics navigation in challenging field environments.

— Chief Product Officer, Agriculture Analytics Platform

We needed high-precision semantic layers to improve our robot navigation stack, and DDD delivered flawlessly. Their QA process caught issues we hadn’t even considered. The level of rigor and domain knowledge sets them apart from other annotation vendors.

— VP of Autonomy Systems, Industrial Robotics Firm

Why Choose DDD?

Domain-Specialized HD Mapping Expertise

Our teams are deeply trained in GIS fundamentals, LiDAR workflows, 3D point cloud analysis, and safety-critical annotation protocols.

Multimodal, AI-Ready Geospatial Layers

Every map we produce is optimized for machine learning and autonomy stacks, not static visualization, ensuring your models can perceive, localize, and plan with confidence.

Human-in-the-Loop Quality

Multi-level validation, sampling audits, topological consistency checks, and structured calibration ensure your maps remain accurate, consistent, and production-ready.

Global, Scalable Workforce

DDD’s impact-sourcing model provides access to a trained, scalable workforce capable of large-volume HD mapping and continuous map updates across regions.

Quality, Security & Compliance

Rigorous QA workflows

Multi-pass audits, cross-layer consistency checks, spec adherence, and reviewer calibration ensure every map meets your quality benchmarks.

Standardized guidelines

Clear instructions, feature catalogs, training materials, and rulebooks ensure uniform annotation across contributors and regions.

Secure environments

Controlled-access workspaces, encrypted file transfers, and client-specific compliance measures protect sensitive geospatial assets.

Read Our Latest Blogs

Read expert articles, insights, and industry benchmarks across physical AI.

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Build HD Maps for Your Physical AI Systems

Talk to Our Expert

Frequently Asked Questions

What types of HD map features can DDD annotate?

Road geometry, lane markings, traffic assets, drivable regions, building footprints, terrain classes, vegetation types, irrigation systems, utilities, infrastructure, and disaster impact layers.

Which geospatial data sources do you support?

LiDAR point clouds, aerial imagery, drone footage, satellite images, multi-sensor video, panoramic images, and GIS datasets.

How do you ensure accuracy in HD mapping?

We use multi-step QA, inter-annotator agreement checks, geometric audits, topological validations, rule-based consistency checks, and domain-specialized review teams.

Can DDD update maps continuously?

Yes. We support ongoing HD map refresh cycles, incremental updates, and dynamic map expansion as regions change or new coverage is required.

What project volumes can you handle?

From targeted pilot projects to large-scale national mapping programs, we scale to meet your volume, geography, and timeline requirements.

Can you also annotate or label the data you collect?

Yes. In addition to collection, DDD offers comprehensive data annotation, labeling, and validation services, so you can move from raw data to model-ready datasets with a single partner.

How long does a typical data collection project take?

Timelines depend on data type, complexity, volume, and geography. After discovery, we provide a clear plan with estimated milestones and phased deliveries so you can begin training early while we continue to scale the dataset.

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