There is a general consensus in the scientific and technological community that artificial intelligence will be the future direction of development. The example of artificial intelligence that is common around people and is now extremely popular is the driverless car. 　　
With the Uber unmanned vehicle on the road in Pittsburgh, the Baidu unmanned vehicle was tested on the road in Beijing, and the development, testing and road of the driverless car are gradually being realized step by step. The frequent emergence of driverless technology in the news, can feel the wave of artificial intelligence is changing people's present and future.
According to the data, more than 1.3 million people die each year from car accidents, 94% of which are caused by human error. The development of autonomous driving technology is largely to improve people's quality of life, prevent unnecessary human accidents, reduce congestion, and provide greater convenience for human travel.
Driverless technology is a very large body of knowledge, mainly to solve the four major problems, namely, positioning, perception, decision-making, and control.
Positioning, such as GPS, Landmark, IMU;
Perception, identification of objects around the vehicle;
Decision making, vehicle routing, formal speed and other behavioral decisions;
Control, steering wheel, throttle, brake and other controls.
In these four directions, there are many sub-problems, such as how to identify the things ahead (other vehicles, pedestrians, bicycles, traffic lights, etc.) while solving the problem of perception.
To solve the sub-problem under this big problem of perception, the algorithm and training mode in deep learning is a powerful driving force behind it.
If you want to solve the problem of recognizing the things in front of the vehicle while driving, you need it in the general direction.
Use deep learning to achieve image processing;
Digital recognition using Tensor Flow;
Run a deep learning model with AWS GPU Instance and train and test the data;
Establish an R-CNN object detection model;
Multi-label classification under the Tensor Flow model, and training and testing the data;
and many more.
to sum upArtificial intelligence will become a major trend in the future, and driverlessness will gradually change the way people travel. No matter how the times develop, science and technology will be the direction that leads people to move forward, and those who master cutting-edge technology are the indelible forces that drive the development of the times.
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