Ford Global Technolgoies, LLC

Smita Vinayak Bailur

Vidya Nariyambut Murali

Jinesh J Jain

Bruno Sielly Jales Costa

Tejaswi Koduri

Kyle J Carey

Hanieh Deilamsalehy

Marcos Pau Gerardo Castro

An autonomous vehicle includes a microphone sensing sounds in the interior of the vehicle. The output of the interior microphone is processed according to an unsupervised machine learning model such that anomalies are indicated by the model. In response to detection of an anomaly, a remote dispatcher is notified, who may then dismiss the anomaly or transmit an instruction to the vehicle to alter its trajectory. The output of an exterior microphone and infotainment system may be removed from the output of the interior microphone prior to processing. An anomaly may be found to occur in response to detecting speaking of a keyword in the output of the interior microphone.

Detection of anomalies in the interior of an autonomous vehicle

A method for determining a position of a vehicle in a lane includes receiving perception information from a first camera positioned on a first side of a vehicle and a second camera positioned on a second side of the vehicle. The method includes determining, using one or more neural networks, a position of the vehicle with respect to lane markings on the first side and the second side of the vehicle. The method further includes notifying a driver or control system of the position of the vehicle.

Vehicle lane boundary position

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Dearborn, MI, United States of America

Smita Vinayak Bailur