🗾ITmedia AI+ (日本)•Freshcollected in 81m
HERE Technologies Expands Location Platform to Two-Wheelers
💡Learn how HERE is leveraging location data to power the next generation of SDV and two-wheeler mobility.
⚡ 30-Second TL;DR
What Changed
Strategic shift to include two-wheelers in the location platform.
Why It Matters
Expanding location services to two-wheelers opens new data streams for AI-driven traffic management and safety features in emerging markets. This is critical for urban mobility AI applications.
What To Do Next
Explore the HERE location APIs if you are developing navigation or fleet management AI that requires granular urban mobility data.
Who should care:Enterprise & Security Teams
Key Points
- •Strategic shift to include two-wheelers in the location platform.
- •Supporting the broader SDV (Software-Defined Vehicle) ecosystem.
- •Evolution from digital maps to a global location platform provider.
🧠 Deep Insight
AI-generated analysis for this event.
🔑 Enhanced Key Takeaways
- •HERE Technologies is leveraging its 'HERE SDK for Two-Wheelers' to integrate real-time traffic, weather, and road safety alerts directly into motorcycle instrument clusters.
- •The expansion addresses the specific needs of two-wheelers, such as lane-level navigation, fuel-stop optimization for smaller tanks, and hazard warnings tailored to motorcycle dynamics.
- •This initiative is part of a broader partnership strategy with major motorcycle OEMs to digitize the rider experience and compete with smartphone-based navigation.
- •The platform utilizes HERE's 'UniMap' technology, which automates map updates using sensor data from connected vehicles to ensure high-precision routing for two-wheelers.
- •The move is designed to capture the emerging market for connected electric motorcycles, where battery range management and charging station location are critical features.
📊 Competitor Analysis▸ Show
| Feature | HERE Technologies | Google Maps (Automotive) | TomTom |
|---|---|---|---|
| Two-Wheeler Specific Routing | High (Optimized) | Medium (General) | High (Optimized) |
| Offline Capability | Native/Robust | Limited | Native/Robust |
| OEM Integration | Deep/Customizable | Cloud-based/Standardized | Deep/Customizable |
| Pricing Model | Tiered/Usage-based | Licensing/Subscription | Tiered/Usage-based |
🛠️ Technical Deep Dive
- Integration of HERE SDK for Two-Wheelers allows for hardware-agnostic deployment on Linux, Android Automotive, and QNX operating systems.
- Utilizes vector-based map tiles to reduce bandwidth consumption for connected two-wheelers with limited cellular connectivity.
- Implements predictive routing algorithms that account for motorcycle-specific constraints such as road curvature and surface type.
- Leverages HERE's global location cloud to process telemetry data from connected fleets for real-time traffic flow optimization.
- Supports Over-the-Air (OTA) map updates to ensure instrument clusters remain current without requiring dealership visits.
🔮 Future ImplicationsAI analysis grounded in cited sources
Motorcycle OEMs will shift from proprietary navigation systems to standardized HERE-based platforms.
The high cost of maintaining custom mapping software makes third-party, specialized platforms like HERE more economically viable for manufacturers.
Two-wheeler accident rates will decrease due to integrated V2X (Vehicle-to-Everything) hazard warnings.
Real-time alerts regarding road conditions and traffic incidents delivered directly to the dashboard reduce rider distraction and reaction time.
⏳ Timeline
2015-08
HERE Technologies acquired by a consortium of German automotive companies (Audi, BMW, Daimler).
2020-06
HERE Technologies completes transition to a new ownership structure including Mitsubishi Corporation and NTT.
2022-11
Launch of HERE UniMap to automate map creation and maintenance at scale.
2024-03
Expansion of HERE SDK capabilities to support advanced driver-assistance systems (ADAS) for diverse vehicle types.
2026-05
HERE Technologies announces strategic focus on two-wheeler mobility solutions for the SDV market.
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Original source: ITmedia AI+ (日本) ↗