R Deep Learning Projects

How does deep learning become a state-of-the-art solution?

As we can see, robust object recognition is critical to realizing driving autonomy. To avoid accidents and ensure safety, it is necessary to be attentive to the surrounding environment, traffic signs, and lights. Generally speaking, object recognition in self-driving cars can be summarized into four tasks:

• Object detection, such as obstacles, pedestrians, traffic signs, and lights.
• Object identification and classification. An example is of labeling traffic lights (red, yellow, green, and off) if detected in the images captured by the frontal camera. Then we have categorizing of traffic participants into bicycle, motorcycle, car, truck and bus, and of course classifying traffic signs ...