Microphone Array for Sound Source Detection and Location

An autonomous vehicle (AV) control system comprising:

• one or more processors;
• a memory comprising one or more tangible non-transitory computer-readable media, the memory storing computer-readable instructions that are executable by the one or more processors to cause the AV control system to perform operations comprising:
• receiving sound data associated with a source sound received by a plurality of microphones associated with an autonomous vehicle;
• providing the sound data as input to a machine-learned model having been trained to recognize the source sound by analyzing one or more features of the source sound received by the plurality of microphones;
• receiving, as an output of the machine-learned model and based on receipt of the sound data as input, data indicative of a sound type associated with the source sound;
• and
• generating, based on the sound type, a control signal to control an action of the autonomous vehicle.

An autonomous vehicle comprising:

• one or more processors;
• a plurality of microphones;
• a memory comprising one or more tangible non-transitory computer-readable media, the memory storing computer-readable instructions that are executable by the one or more processors to cause the one or more processors to perform operations comprising:
• receiving sound data associated with a source sound received by the plurality of microphones;
• providing the sound data as input to a machine-learned model having been trained to recognize the source sound by analyzing one or more features of the source sound received by the plurality of microphones;
• receiving, as an output of the machine-learned model and based on receipt of the sound data as input, data indicative of a sound type associated with the source sound;
• and
• generating, based on the sound type, a control signal to control an action of the autonomous vehicle.

A method comprising:

• receiving sound data associated with a source sound received by a plurality of microphones positioned on an autonomous vehicle;
• providing the sound data as input to a machine-learned model having been trained to recognize the source sound by analyzing one or more features of the source sound received by the plurality of microphones;
• receiving, as an output of the machine-learned model and based on receipt of the sound data as input, data indicative of a sound type associated with the source sound;
• and
• generating, based on the sound type, a control signal to control an action of the autonomous vehicle.