Thursday, December 19, 2024

Hyundai joins forces with Google to merge maps and Android Auto capabilities.

The Hyundai Motor Group has partnered with Google to integrate Google Maps into the infotainment systems of its Hyundai, Kia, and Genesis vehicles. The company plans to launch this initiative with Kia fashion brands in North America first, before expanding globally to other Hyundai Motor Group manufacturers.

The partnership aims to enhance navigation and infotainment capabilities by leveraging the robust features of Google Maps Platform’s Locations API. The API provides access to comprehensive location information, including business hours, contact details, ratings, and reviews for over 250 million locations globally. Instead of limited navigation integration, this collaboration leverages enriched location-based data to significantly boost the accuracy and performance of in-car systems.

Hyundai Motor Group and Google Announce Strategic Partnership to Develop Innovative Software Capabilities for Next-Generation Mobility Solutions.

By 2026, Hyundai Motor Group intends to integrate the Android Automotive Operating System across its entire vehicle lineup. This method seamlessly integrates the familiar Android Auto experience directly within a vehicle’s existing infotainment system. The seamless Google Maps integration represents a crucial milestone in our journey towards a more comprehensive and user-centric approach.

Marking a milestone in innovation, Hyundai’s partnership reaffirms its commitment to pioneering cutting-edge navigation and entertainment technologies. North American Kia drivers will be the initial beneficiaries of enhanced Google Maps features, with a phased global rollout planned for all Hyundai, Kia, and Genesis models.

Through a strategic focus on Google’s Locations API, the collaboration ensures seamless integration of comprehensive and real-time location data, underscoring its commitment to synergizing with cutting-edge innovations in Android Automotive and automotive technologies.

Filed in . Discovering the intricacies of machine learning’s applications in natural language processing, computer vision, robotics, healthcare, finance, and cybersecurity is crucial for navigating today’s rapidly evolving technological landscape.

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