HERE Technologies Navigation on Autopilot AI Map Intelligence Auto China 2026

HERE Technologies unveiled its latest advancements in live map intelligence at the Auto China 2026 event in China, introducing Navigation on Autopilot (NOA) capabilities designed to support next-generation automated driving systems. The solution is built on a unified AI-powered road model that seamlessly integrates navigation, automated driving functionality, and infrastructure awareness into a single platform. This approach enables automakers to deliver consistent Level 2++ automated driving experiences across different global markets while maintaining reliability and scalability.

Unified AI Road Model for Global Consistency

The newly introduced system leverages a centralized AI-based mapping architecture that combines multiple data layers into a cohesive driving intelligence platform. By integrating navigation data with automated driving logic and real-time infrastructure inputs, the platform ensures uniform performance regardless of geographic location. This reduces complexity for automakers while improving system adaptability across diverse road conditions and regulatory environments. The focus remains on maintaining technical consistency without compromising safety or efficiency.

Enhanced Lane-Level Intelligence for NOA

HERE emphasized its improved lane-level intelligence, specifically optimized for Navigation on Autopilot use cases. This capability allows vehicles to interpret road geometry, lane boundaries, and driving context with higher precision. As a result, automated driving systems can execute smoother lane changes, maintain stable positioning, and respond more confidently to dynamic traffic scenarios. The enhanced accuracy contributes directly to a more predictable and refined automated driving experience, reducing driver intervention in complex environments.

Predictive Signal Timing for Smarter Intersections

The company also showcased its AI-powered HERE Predictive Signal Timing technology, currently under development. This system is designed to enhance intersection intelligence by anticipating traffic signal changes in advance. Developed in collaboration with partners such as Baidu Maps, the solution supports automated driving systems in adjusting vehicle speed proactively. This minimizes abrupt braking and unnecessary acceleration while aligning vehicle movement with traffic signal patterns.

Key Functional Benefits of Predictive Signal Timing

The predictive system delivers multiple operational improvements for automated vehicles:

• Anticipates upcoming traffic signal changes for smoother driving behavior
• Reduces sudden braking and unnecessary acceleration events
• Enhances energy efficiency, contributing to improved EV range
• Supports alignment with green wave traffic patterns
• Improves ETA accuracy through better traffic flow prediction

Impact on EV Efficiency and Driving Experience

By enabling smoother speed adjustments and minimizing stop-and-go driving, the Predictive Signal Timing system directly contributes to improved energy efficiency in electric vehicles. Reduced acceleration variability helps conserve battery power while lowering emissions in hybrid systems. Additionally, the system enhances overall driving comfort by ensuring more stable and predictable vehicle behavior, which is critical for widespread adoption of Level 2++ automated driving technologies.

Frequently Asked Questions

What is HERE Technologies Navigation on Autopilot?
HERE Technologies Navigation on Autopilot is an AI-powered system that integrates navigation, automated driving, and infrastructure data into a unified road model for consistent Level 2++ driving experiences. It enables vehicles to interpret real-world driving conditions with high precision, ensuring smoother operation across different regions. The system enhances lane-level accuracy, improves vehicle control, and supports automated decision-making. Its unified architecture reduces complexity for automakers while delivering scalable and reliable automated driving capabilities globally.

How does Predictive Signal Timing improve automated driving?
Predictive Signal Timing enhances automated driving by forecasting traffic signal changes and allowing vehicles to adjust speed proactively for smoother and more efficient movement. This reduces abrupt braking and unnecessary acceleration, improving passenger comfort and vehicle stability. It also supports better energy management in electric vehicles, extending driving range and reducing emissions. Additionally, the system improves traffic flow alignment and ETA accuracy, making automated driving systems more intelligent and responsive in urban environments.