Mapping
Seevia Technologies
Advanced Mapping for Autonomous Navigation and Smart Cities
Maps are essential for autonomous navigation, providing vehicles or robots with the pre-existing information they need to make informed decisions. These maps not only support vehicle localization and route planning but also extend their value to infrastructure stakeholders and smart cities, offering an evolving digital representation of environments.
Seevia's Mapping technology
At Seevia, we have developed fully automated tools that seamlessly build and maintain various types of maps, each optimized to represent different aspects of the environment with varying levels of detail.
These maps can be generated from multiple data sources—such as satellite imagery, cartography, or sensorized vehicle recordings—tailored to the required level of detail and specific application.
Our technology scales from basic 2D representations to highly detailed, interactive 3D maps, offering versatility across a wide range of use cases.
Seevia’s Map Types
Probabilistic maps used by map-matching algorithms to accurately locate vehicles within an environment.
Data-driven navigation charts that store machine-readable information, including driving rules, traffic signals, and the classification of free and occupied spaces. These maps ensure precise route planning and safe navigation for autonomous systems.
Highly detailed 3D reconstructions of environments, created by fusing LiDAR and RGB camera data. These interactive maps are fully editable.
Human-readable maps that represent the geo-localization and classification of specific objects, such as traffic signs or other infrastructure elements, providing actionable insights for smart city planning.
Key Features of Seevia MapTech
Seamless generation of maps from diverse data sources, eliminating the need for manual map creation.
From basic 2D representations to highly interactive 3D maps, Seevia MapTech scales across a wide range of use cases and environments.
Optimized maps for autonomous navigation, smart city planning, and infrastructure management.
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