Case Study of Traffic Light Data Annotation

Recently, Intel Mobileye conducted an unmanned vehicle test in Jerusalem. During the test, the unmanned vehicle accurately recognized the red light, but the system ignored the message, and the vehicle continued to drive through the intersection. No measures were taken, and fortunately, no casualties were caused. In the incident, the camera recognized the red signal light, possibly because the processor considered that the red light was the taillight of the car in front.

External factors such as weather, tail lights of surrounding vehicles, etc., may interfere with automatic driving technology. Being able to understand traffic signals and make corresponding responses play an important role in self-driving perception and decision-made sectors. The premise is that the training data of traffic lights in different scenarios, weather, and categories are available.

Let’s have a look at a traffic light data labeling case.