Is autonomous driving part of artificial intelligence?

Self-driving cars, also known as driverless cars, computer-driven cars, or wheeled mobile robots, are driverless vehicles through a computer system and belong to the field of advanced artificial intelligence.

Self-driving cars rely on artificial intelligence, visual computing, radar, monitoring devices, and global positioning systems working in concert to allow computers to operate motor vehicles automatically and safely without any human initiative.

Autonomous driving is not a stand-alone technology but a synthesis of many technologies. This includes holographic road systems, road condition analysis systems, object recognition, movement trend determination systems, and many other technologies.

AI Algorithms used for Autonomous Driving

AI algorithms are the most critical part of supporting autonomous driving technology, and mainstream autonomous driving companies currently use machine learning and artificial intelligence algorithms to achieve this.

Autonomous driving domain algorithms can be divided into perception algorithms, fusion algorithms, decision algorithms, and execution algorithms. Perception algorithms convert sensor data into the machine language of the vehicle's scene, including object detection, recognition and tracking, 3D environment modeling, and motion estimation of objects.

The core task of the fusion algorithm is to quantitatively unify the data acquired by different sensors with different dimensions, such as image-based or point cloud-based. As the requirement of L2+ autonomous driving for multi-sensor fusion accuracy increases, the fusion algorithm will gradually be forward-oriented (pre-fusion), and its layers will gradually move forward from back-end components such as domain controllers to the sensor level. Fusion will be completed within the sensor to improve data processing efficiency.

The decision algorithm, that is, based on the output results of the perception algorithm, gives the final behavioral action instructions, including behavioral decisions such as following, stopping and chasing the car, as well as action decisions such as steering and speed of the car, path planning, etc.

The difference between autonomous driving and driverless

The difference between autonomous and driverless driving is that autonomous driving is where someone decides the driving behavior, while driverless driving is where the machine is completely responsible for the driving behavior, also called autonomous driving. A long time ago, after studying autonomous driving technology, many cars applied active driving technology, such as the ACC adaptive cruise function that we often use on the highway, which is a kind of automatic driving.

To put it simply, automatic driving is mainly an auxiliary driving function, and the main driving behavior is controlled by people and requires the driver to use it. And driverless is completely machine as the theme. We people in the car only as the rider; exists no need to control the vehicle, the machine, to achieve full autonomy driving.

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