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Suppliers > United States > Civil Maps
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Civil Maps

Overview
HQ Location
United States
Year Founded
2015
Company Type
Private
Revenue
< $10m
Employees
11 - 50
Website
Company Description
Civil Maps' sensor-agnostic platform enables vehicular cognition for self-driving cars, emulating the mental routines of human cognition used in the tasks of driving and navigation. OEMs of all types, mapping companies, and mobility providers use our technology to advance their autonomous driving initiatives by integrating our Cognition Engine with their decision-making stack and sensor configurations of choice. Civil Maps enables vehicles to develop and leverage their own ental model of the world; they can can create, utilize, and crowdsource maps with the industry's most cost-effective, scalable, and robust methods available today. Civil Maps proprietary fingerprinting technology is at the core of our offerings in Sensor Fusion, 3D mapping, centimeter-accurate localization in 6 Degrees of Freedom (6DoF), and machine perception. While empowering vehicles with full environmental awareness and enhanced safety, Civil Maps is able to dramatically reduce the cost, compute, and energy requirements involved in continental-scale deployment of autonomous cars, trucks, and heavy equipment.
IoT Solutions
Our highly scalable, patented and automated technology enables the delivery of HD Maps at city scale.
Civil Maps brings a unique, robust approach to real-time localization and navigation with our lightweight Fingerprint Base Map?.
Civil Maps AV Routing SDK powers the advanced navigational needs of autonomous vehicles, including sidewalk robots. Routing capabilities can be tailored by layering custom cost functions to optimize your business needs.
IoT Snapshot
Civil Maps is a provider of Industrial IoT application infrastructure and middleware technologies.
Technology Stack
Civil Maps’s Technology Stack maps Civil Maps’s participation in the application infrastructure and middleware IoT Technology stack.
  • Devices Layer
  • Robots
    Drones
    Wearables
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
    Actuators
    Sensors
  • Cloud Layer
  • Platform as a Service (PaaS)
    Infrastructure as a Service (IaaS)
  • Application Layer
  • Functional Applications
  • Supporting Technologies
  • Analytics & Modeling
  • Application Infrastructure & Middleware
  • Cybersecurity & Privacy
  • Networks & Connectivity
Technological Capability:
None
Minor
Moderate
Strong

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