Anomaly detection for vehicle in motion using external views by established network and cascading techniques

A processor-implemented method for using mobile devices for anomaly detection in a vehicle, the method comprising:

• receiving sensor data from a plurality of mobile devices and wearable devices, wherein the plurality of mobile devices and wearable devices are located within a predetermined distance of the vehicle;
• analyzing the sensor data to identify an anomaly related to a physical condition of the vehicle;
• identifying a vehicle status message related to the identified anomaly from a list of vehicle status messages;
• assigning an urgency value to each message according to a predefined table;
• transferring the message and the urgency value to the vehicle;
• based on the urgency value assigned to the message, causing the vehicle to notify a driver of the vehicle by displaying or pronouncing the message using a vehicle notification device;
• and
• causing the vehicle to stop based on the transferred message.

A processor-implemented method for using mobile devices for anomaly detection in a vehicle, the method comprising:

• receiving sensor data from a plurality of mobile devices and wearable devices, wherein the plurality of mobile devices and wearable devices are located within a predetermined distance of the vehicle;
• analyzing the sensor data to identify an anomaly related to a physical condition of the vehicle;
• identifying a vehicle status message related to the identified anomaly from a list of vehicle status messages;
• assigning an urgency value to each message according to a predefined table;
• transferring the message and the urgency value to the vehicle;
• based on the urgency value assigned to the message, causing the vehicle to notify a driver of the vehicle by displaying or pronouncing the message using a vehicle notification device;
• and
• causing the vehicle to stop based on the transferred message.