From Maps to Mission Control: Inside HERE’s Strategy for EVs, L2+ Automation and the SDV Era

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• HERE AI Assistant ensures reliable interpretation through multi-LLM architecture, real-time contextual awareness, and integration with HERE Location Services. The multi-LLM architecture allows OEMs to select the LLM of their choice while allowing for lower total cost of ownership

  80% confidence

• L2+ and L2++ use cases are some of the most exciting and fastest-growing areas. With market moving toward Navigation on Autopilot, you need ODD-aware navigation system and route-aware ADAS system

  80% confidence

• Common requirements across AFEELA, Togg, Dacia, and Lotus include high configurability for unique UX, OTA-enabled freshness, EV-optimized routing, maximum immersive UX, and ability to run on varied compute platforms

  80% confidence

• HERE extracts speed-limit data from many sources including vehicle sensor data, probe sensors, local authorities, third-party feeds. No single source is sufficient on its own for reliable ISA data

  80% confidence

• Most important post-SOP metric is User Analytics - understanding how often Navigation and ADAS systems support the driver and how effectively they do so. HERE takes deeply user analytics-driven approach to development and roadmap prioritization

  80% confidence

• Accurate on-route EV range estimation depends on elevation, speed, temperature, traffic conditions, vehicle-specific consumption models accounting for trim-level differences, and AI models that learn driver behavior like acceleration and braking patterns

  80% confidence

• Customers report largest efficiency gains in rapidly generating high-volume, highly realistic simulation environments for ADAS/AD training and validation. What used to take weeks can now be done in minutes with SceneXtract

  80% confidence

• These awards affirm HERE's progress in delivering AI-powered location intelligence and partner network relevant in the software-defined vehicle era, enabling next-generation in-vehicle user experiences, accelerated development cycles and scalable connected, automated and EV-ready capabilities worldwide

  80% confidence

• AWS Bedrock and OpenSearch power SceneXtract's scalability and precision by enabling NLP-driven semantic search and generative AI workflows, accelerating map data retrieval, ensuring accurate scene generation, preventing hallucinations

  80% confidence

• OEMs can integrate HERE AI Assistant through modular APIs in HERE Navigation and HERE SDK, leveraging hybrid multi-LLM architecture and cloud or edge deployment, preserving customer specific IVI roadmaps and UX strategies

  80% confidence

• Avoiding hallucinations is especially critical in the cockpit. Drivers must never be guided to places or roads that don't exist. The key is grounding GenAI in factual data and services on HERE platform

  80% confidence

• Chinese OEMs' international programs now represent a large share of export volumes. HERE supports them with best maps and software for navigation to ADAS and AD, strong local Chinese team, global network of local experts, and flexible delivery models

  80% confidence

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