Method and system for vehicle damage protection

A method of deploying a protective structure on a first vehicle based on detecting conditions indicating a likelihood of an imminent vehicle collision, the method comprising:

• receiving first sensory information regarding vehicle dynamics of one or more other vehicles, and receiving second sensory information regarding the first vehicle from one or more devices selected from a group consisting of a user interface, a microphone, a camera, a motion sensor, a velocity sensor, a temperature sensor, a pressure sensor, a decibel meter, an angular position sensor, a location sensor, a linear position sensor, a rotational motion sensor, an inertial sensor, a status sensor, a gyroscope, an accelerometer, a wheel speed sensor, a global positioning system (GPS), an onboard diagnostic (OBD) system, an anti-lock brake system, and an air bag system;
• analyzing, using one or more machine learning algorithms trained to detect features associated with collisions, the first sensory information and the second sensory information and automatically determining whether a collision is likely to occur;
• and
• based on the analysis of the first sensory information and the second sensory information, automatically deploying a first protective structure associated with a first side portion of the vehicle if the first sensory information and the second sensory information each meet an individual activation threshold.

A system for deployment of a protective structure for a first vehicle in response to conditions indicating an imminent vehicle collision is likely, the system comprising a processor and machine-readable media including instructions which, when executed by the processor, cause the processor to:

• receive first sensory information regarding vehicle dynamics of one or more other vehicles, and receiving second sensory information regarding the first vehicle from one or more devices selected from a group consisting essentially of a user interface, a microphone, a camera, a motion sensor, a velocity sensor, a temperature sensor, a pressure sensor, a decibel meter, an angular position sensor, a location sensor, a linear position sensor, a rotational motion sensor, an inertial sensor, a status sensor, a gyroscope, an accelerometer, a wheel speed sensor, a global positioning system (GPS), an onboard diagnostic (OBD) system, an anti-lock brake system, and an air bag system;
• analyze, using one or more machine learning algorithms trained to detect features associated with collisions, the first sensory information and the second sensory information and automatically determine whether a collision is likely to occur;
• and
• based on the analysis of the first sensory information and the second sensory information, automatically deploy a first protective structure associated with a first side portion of the vehicle if the first sensory information and the second sensory information each meet an individual activation threshold.