Abstract: A traffic light monitoring system includes a vehicle. The vehicle includes an imaging sensor configured to capture images, one or more processors, one or more memory modules, and machine readable instructions stored in the one or more memory modules that cause the vehicle to perform at least the following when executed by the one or more processors: identify a traffic light based on the images, determine a first transition time when a first light of a traffic light turns off and a second light of the traffic light turns on based on the images, determine a second transition time when the second light of the traffic light turns off and a third light of the traffic light turns on based on the images, and transmit information about the first transition time and the second transition time to an edge computing device.

Abstract: One embodiment provides a system that facilitates efficient collection of training data for training an image-detection artificial intelligence (AI) engine. During operation, the system obtains a three-dimensional (3D) model of a physical object placed in a scene, generates a virtual object corresponding to the physical object based on the 3D model, and substantially superimposes, in a view of an augmented reality (AR) camera, the virtual object over the physical object. The system can further configure the AR camera to capture a physical image comprising the physical object in the scene and a corresponding AR image comprising the virtual object superimposed over the physical object, and create an annotation for the physical image based on the AR image.