Ford Global Technolgoies, LLC

Shruthi Venkat

Nikhil Nagraj Rao

Tarik Safir

Douglas J Rogan

Sam Harris

Vidya Nariyambut Murali

Francois Charette

Sandhya Sridhar

A location of a first object can be determined in an image. A line can be drawn on the first image based on the location of the first object. A deep neural network can be trained to determine a relative location between the first object in the image and a second object in the image based on the line. The deep neural network can be optimized by determining a fitness score that divides a number of deep neural network parameters by a performance score. The deep neural network can be output.

Efficient neural networks

A monitoring system for a vehicle includes a plurality of surveillance sensors in connection with the vehicle and configured to capture sensor data proximate to the vehicle. A position sensor is configured to detect a location of the vehicle. A controller determines a surveillance mode for the vehicle based on the sensor data and a plurality of security factors associated with the location of the vehicle. The controller activates the surveillance mode in response to the security factors and monitors the sensor data. The controller further filters a plurality of security events from a plurality of benign events and selectively outputs alerts in response to the security events and the benign events.

System and method for vehicle security monitoring

A monitoring system for a vehicle includes surveillance sensors configured to capture sensor data proximate to the vehicle. A position sensor is configured to detect a location of the vehicle. A controller is in communication with the surveillance sensors and the position sensor. The controller calculates a security score in response to security data based on the location of the vehicle and selects an active mode for the surveillance sensors in response to the security score. The active mode is selected from a plurality of surveillance modes that vary an active operation of the plurality of surveillance sensors. The controller may change or escalate the active mode and a corresponding monitoring operation (e.g., from a first mode to a second mode) in response to a security detection.

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Mountain View, CA, United States of America

Shruthi Venkat