As vehicles become increasingly soundproof and sensor-rich, traditional microphone-based siren detection methods are showing limitations in accuracy, cost, and environmental robustness. This session will introduce an innovative alternative developed by Alango Technologies: using vibration sensors mounted on vehicle windows to detect emergency vehicle sirens. The approach not only removes reliance on external microphones but also improves detection under real-world noise conditions — offering a scalable, cost-effective solution that enhances situational awareness in urban and highway scenarios.
In this session, we’ll explore:
- How vibration-based sensing compares to microphone-based siren detection in terms of performance and integration.
- The signal processing and machine learning techniques behind accurate siren recognition via window-mounted sensors.
- Potential for this technology to scale across different vehicle classes and acoustic environments.
- What this innovation means for the broader ADAS sensor stack and situational awareness in the software-defined vehicle era.
&nsbp;
powered by Borlabs Cookie