Motional Ad LLC

Rajesh K Venkateswaran

Yunpeng Xu

Paul Schmitt

Alok Sharma

Jugal Buddhadev

Michael Lee

Matthew Andromalos

Junsung Kim

Michael Maass

Vasudeva Pai Melgangolli

Dana K Miller

Brett Sandler

James Esper

Scott Sweeny

Silvio Maeta

Anurag Sanu

Parth Shah

In an embodiment, a method comprises: capturing, by one or more microphone arrays of a vehicle, sound signals in an environment; extracting frequency spectrum features from the sound signals; predicting, using an acoustic scene classifier and the frequency spectrum features, one or more siren signal classifications; converting the one or more siren signal classifications into one or more siren signal event detections; computing time delay of arrival estimates for the one or more detected siren signals; estimating one or more bearing angles to one or more sources of the one or more detected siren signals using the time delay of arrival estimates and a known geometry of the microphone array; and tracking, using a Bayesian filter, the one or more bearing angles. If a siren is detected, actions are performed by the vehicle depending on the location of the emergency vehicle and whether the emergency vehicle is active or inactive.

Detection and classification of siren signals and localization of siren signal sources

Among other things, we describe systems and method for implementing data security in an autonomous vehicle system. The systems and methods can include inter-process communication security via key management, in which asymmetric cryptography and other validation techniques are used to validate data received from sensors. The systems and method can also include penetrative testing, in which valid sensor inputs are modified and transmitted throughout a distributed network through one or more sensors.

Systems and methods for implementing data security

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Sewickley, PA, United States of America

Rajesh K Venkateswaran