Semantic Annotations add meaningful labels and descriptors to robotic maps, making them readable for Autonomous Systems. This involves verifying the base map with sensor data, labeling key elements, and preparing it for deployment.

The DDD team has deep expertise across AVs, AgTech, and Satellite Imagery, handling diverse annotations with efficiency and accuracy.

Sparse Maps provide a simplified representation of the environment, storing only essential geographic features. Common in ADAS and SLAM applications, they reduce system complexity while limiting reliance on high-fidelity data.

DDD experts create optimized sparse maps, helping clients streamline training and quality control.

Map Issue Triage involves analyzing real-world data to detect navigation issues, ensuring smooth and safe autonomous operations. It plays a key role in maintaining and updating maps for reliable performance.

DDD offers GIS Map Creation training and a skilled team of 100+ operators actively engaged in these projects.

Aerial imagery labeling assigns tags to drone, satellite, and aerial images for tasks like object detection and segmentation. Applications span agriculture, urban planning, environmental monitoring, disaster response, and infrastructure inspection.

DDD has supported Space Agencies, Satellite Data Providers, and AgTech firms with precise aerial imagery labeling services.

GIS Classification organizes geographic data into categories, simplifying analysis for mapping, urban planning, and resource management, revealing patterns that aid decision-making across industries.

DDD’s trained workforce specializes in cartographic datasets, ensuring high-quality GIS classification.