One of the potential Safety issues as a driver is knowing someone tailing the vehicle, following the vehicle and potentially rob or carjack or do a home theft based on your known schedule. The potential of being followed increases drastically with the rise in semi and Full Autonomous vehicles where the drivers are not required to understand and know the surroundings as often as they do with the non-AV vehicles. There is a need for the Drivers to always be aware of the surroundings of the vehicle. The Camera's/Radars/Sensors/Lidars help in capturing different data sets of the surrounding vehicles. The data can be utilized to determine if someone is tailing the host vehicle. Host vehicle will be capturing images of all the vehicles in its surrounding. Host vehicle to have an embedded system with a set of Algorithms that takes the images of all the vehicles in surroundings for processing. The Camera modules of the vehicle will be posting the image feeds to this embeded system. Host vehicle determines a rouge vehicle using the driving patterns of the vehicle and compare with the vehicle dynamics of host vehicle. The algorithm uses the traffic patterns and road availability conditions like Rouge vehicle taking the exact same turns as the Host vehicle irrespective of a need to do so. Host vehicle will send the image of the suspected rouge vehicle to cloud. Host vehicle continues to monitor for the suspected rouge vehicle after flagging it in its memory. If the rouge vehicle is found in the vicinity of the Host vehicle for 3 consecutive trips a yellow alert will be sent to Host Driver.
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