This blog explores how AI and geospatial data are being used for autonomous defense systems. It examines the core...
Read MoreGeospatial Services for Physical AI
Build robust ground truth datasets for perception, mapping, and GeoAI.
Produce and maintain HD and ADAS maps for autonomy and driver assistance.
Run continuous change detection and map maintenance at city, corridor, or global scale.
Extract actionable intelligence from complex spatial datasets across industries.
What We Deliver
Geospatial Imagery Annotation
- Object & asset mapping – Buildings, roads, bridges, utilities, vehicles, vegetation, and water bodies.
- Land use / land cover labeling – Zoning, crop types, floodplains, and natural vs. built-up areas.
- Pixel-accurate segmentation – Semantic and instance segmentation for high-precision models.
- Temporal change maps – Pre- and post-event comparisons for construction, deforestation, or disasters.
LiDAR & 3D Point Cloud Annotation
We deliver:
- 3D bounding boxes & cuboids – Vehicles, pedestrians, cyclists, obstacles, and infrastructure.
- 3D segmentation – Ground, drivable space, vegetation, structures, and overhead assets.
- Keypoints & lines – Poles, guardrails, catenary lines, lane markings, and other critical features.
- Sequence tracking – Stable IDs for long drives and multi-frame scenes.
Our teams are trained on point-density differences, occlusions, and sensor noise to ensure reliable labels in both structured and unstructured environments.
Services include:
- HD lane-level mapping – Lane boundaries, lane centers, turn lanes, medians, junctions, and transitions.
- Semantic roadway features – Traffic lights, signs, crosswalks, speed bumps, curbs, parking zones, and barriers.
- ADAS sparse maps – Lightweight feature sets optimized for on-vehicle memory and bandwidth.
- Schema alignment & validation – Mapping your feature taxonomy into consistent, production-ready map layers.
We support both map-building from raw logs and annotation on top of existing basemaps from your map provider or in-house stack.
- Change detection – Compare new imagery or drive logs against basemaps to flag potential changes.
- Change validation – Validate changes via human review, field notes, or additional imagery.
- Map updates – Update features and geometry (e.g., new lanes, closures, signage updates, new construction).
- Dashboards & triage – Provide issues dashboards and triage queues that integrate with your platforms.
GeoAI & Spatial Analytics Support
DDD’s analysts and GIS specialists help you move from raw layers to decision-ready intelligence.
- Mobility & routing analytics – Origin-destination flows, congestion patterns, and optimal routing layers.
- Risk & exposure mapping – Flood, wildfire, climate, or security risk overlays for infrastructure and assets.
- Territory & market planning – Network coverage, demographic overlays, and site-selection analysis.
- Digital twin support – Curated spatial layers powering city, campus, or industrial digital twins.
Our Geospatial Services
HD Map Annotations
Geospatial intelligence analysis transforms data into actionable intelligence for autonomy, defense, agriculture, and smart-city systems. Our analysts deliver change detection, spatial analytics, terrain insights, and multi-source data fusion to support better planning, routing, and decision-making.
Industries We Support
Why Choose DDD?
Human-in-the-Loop + Scalable Operations
Tool-Chain & Platform Agnostic
We plug into your existing ecosystem and labeling platforms, with no platform shift required.
Quality, Safety & Compliance Mindset
Proven Across Autonomy, DefenseTech & Infrastructure
From autonomous driving and defense tech to agriculture and smart cities, DDD delivers geospatial solutions that improve system reliability and time-to-deployment.
How We Engage
Read Our Latest Blogs
Geospatial Data & GEOINT Use Cases in Defense Tech and National Security
This blog explores geospatial data & GEOINT use cases in defense tech and national security, highlighting how these technologies...
Read MoreThe Role of Data Annotation in Building Autonomous Vehicles
This article covers the importance of data annotation in building autonomous vehicles and how it’s revolutionizing the industry.
Read MoreEmpower Physical AI with Our Geospatial Intelligence Solutions
Frequently Asked Questions
Both. We can annotate and enrich your existing maps and sensor data, or help you build new HD and sparse map layers from raw imagery, LiDAR, and logs, depending on your needs and data availability.
We use multi-stage QA workflows, sampling plans, benchmark tasks, SME review, and versioned guidelines. Quality metrics and acceptance criteria are aligned with your internal standards and safety requirements.
We follow strict data governance, access control, and security protocols, and can align with your compliance requirements and data residency constraints. Sensitive datasets are handled in secure, controlled workflows.
Yes. Our map issue triage and continuous update workflows are designed to detect, validate, and incorporate changes over time, so your maps and GeoIntel stay synchronized with the real world.