Abstract: Disclosed herein is a method and augmented reality system for providing augmented reality information for an object. The system receives an image from an image capturing device and identifies one or more objects of interest. Thereafter, system identifies location of each object of interest in the image. The system retrieves a virtual marker for each object of interest from a virtual marker repository. The system places virtual marker at the identified location corresponding to each object of interest. The image along with marker is provided to a client device. At the client device, the marker is identified in the image. For each identified marker, the system retrieves augmented reality information from augmented data repository. The augmented reality information is displayed for each object of interest in the image. The present disclosure automatically places virtual marker and provides augmented information associated with object by identifying object of interest in the image.

Abstract: The present disclosure relates to a method and system for automatic control of a headlight of a vehicle by a mobile computing device. The mobile computing device receives vehicle related information and external information associated with the mobile computing device, where the mobile computing device is associated with an operator of the vehicle and is communicatively coupled with vehicle. Further, the mobile computing device computes an intensity and an orientation of a headlight of the vehicle based on one or more vehicle lighting patterns, where said vehicle lighting patterns are generated based on behavior of the headlight of the vehicle, which is operated by the operator, for a pre-defined duration in association with the vehicle related information and external information and provides computed intensity and orientation of the headlight of the vehicle to a lighting control module of the vehicle for automatic control of the headlight of the vehicle.

Abstract: The present disclosure relates to a method and system for automatic control of a headlight of a vehicle by a mobile computing device. The mobile computing device receives vehicle related information and external information associated with the mobile computing device, where the mobile computing device is associated with an operator of the vehicle and is communicatively coupled with vehicle. Further, the mobile computing device computes an intensity and an orientation of a headlight of the vehicle based on one or more vehicle lighting patterns, where said vehicle lighting patterns are generated based on behavior of the headlight of the vehicle, which is operated by the operator, for a pre-defined duration in association with the vehicle related information and external information and provides computed intensity and orientation of the headlight of the vehicle to a lighting control module of the vehicle for automatic control of the headlight of the vehicle.

Abstract: Methods and devices enabling safe tailgating by a vehicle are disclosed. In an embodiment, the method includes capturing an image of a standardized identification plate of the at least one leading vehicle; determining a distance between the leading vehicle and a trailing vehicle based on width of the standardized identification plate and perceived pixel width of the captured image; dynamically generating a tailgating zone classifier table based on at least one of one or more vehicle parameters, one or more driving pattern parameters, or one or more driving condition parameters associated with the at least one leading vehicle; and dynamically selecting, by the safe tailgating computing device, one of the plurality of safe distance buffer zones based on the distance between the at least one leading vehicle and the at least one trailing vehicle.

Abstract: Methods and devices enabling safe tailgating by a vehicle are disclosed.