Cerence Emergency Vehicle Detection Technology Adopted for Autonomous Buses

Cerence Emergency Vehicle Detection Technology Adopted for Autonomous Bus Platform

US-based Cerence Inc. has announced that its Cerence Emergency Vehicle Detection technology has been adopted for the autonomous bus platform developed by Advanced Smart Mobility Co., Ltd. (AS Mobi), a startup originating from the University of Tokyo in Tsukuba City, Ibaraki Prefecture. The technology is designed to help autonomous vehicles detect approaching emergency vehicles and respond appropriately in complex real-world traffic environments. This capability addresses a key challenge for driverless vehicles operating on public roads, where emergency vehicles may be recognized by their sirens before they can be visually identified by a human driver.

Audio AI Enables Emergency Vehicle Detection

Cerence Emergency Vehicle Detection uses Cerence Inc.’s audio artificial intelligence technology to identify approaching ambulances, police vehicles, and fire engines. By detecting these emergency vehicle sounds, the technology can support the autonomous driving system in taking appropriate action while operating without a human driver. AS Mobi plans to equip its autonomous buses with the technology and conduct field trials. The initiative is intended to support safer and more reliable autonomous driving by improving how driverless buses respond to emergency vehicles in real-world traffic conditions.

Frequently Asked Questions

What does Cerence Emergency Vehicle Detection technology do?
Cerence Emergency Vehicle Detection technology uses audio artificial intelligence to identify approaching emergency vehicles and support appropriate responses by autonomous driving systems. The technology is designed to detect ambulances, police vehicles, and fire engines even when they may not yet be visually identifiable. This capability addresses an important challenge for driverless vehicles operating on public roads, where emergency vehicle sirens can provide an earlier warning than visual recognition. Advanced Smart Mobility Co., Ltd. plans to equip its autonomous buses with the technology and conduct field trials to evaluate its use in real-world traffic environments.