Timely siren detection and adequate on emergency vehicles is critical for autonomous and assisted driving. As vehicles transition to software-defined platforms with increasingly sealed cabins and sensor redundancy, siren detection based on external microphones becomes a limitation. Alango Technologies introduces a cost-effective alternative: vibration sensors directly to vehicle glass surfaces combined with advanced signal processing approaches. It provides a high reliability in challenging automotive conditions while simultaneously reducing manufacturing cost, streamlining the vehicle design and simplifying the maintenance which fully aligns with the industry’s shift toward modular, edge-capable perception systems. The session will examine how this approach reshapes hardware design decisions in ADAS and contributes to next-gen safety architectures.

In this session, we’ll explore:

• Hardware and system design considerations for implementing vibration-based siren detection in automotive environments.
• On-glass signal capture and embedded processing techniques optimized for low-latency emergency response.
• Integration into ADAS hardware architectures: challenges, interfaces, and deployment strategies.
• What this innovation means for the broader ADAS sensor stack and situational awareness in the software-defined vehicle era.