1. First of all, deep learning is a machine learning method that simulates human brain neural network and can be used to identify and understand complex environmental information. In self-driving cars, deep learning can be used to identify road signs, pedestrians and other vehicles and predict their behavior.
2. Secondly, computer vision is a technology that allows machines to "see" and understand the world. In self-driving cars, computer vision can be used to detect and track targets and understand the three-dimensional structure of the environment.
Thirdly, sensor fusion is a technology to integrate and process sensor data from different types and sources. In autonomous vehicles, sensor fusion can provide more comprehensive and accurate environmental information and improve the stability and reliability of the system.
4. Finally, the control system is the key technology to control the automobile operation. In self-driving cars, the control system needs to formulate and implement driving strategies according to the results of deep learning and computer vision, as well as the data of sensor fusion.
The role of self-driving cars
1. Improve safety: With its advanced sensors and algorithms, self-driving cars can perceive the surrounding environment in real time and make corresponding driving decisions, thus reducing accidents caused by human factors, such as driver fatigue, negligence or poor driving skills. According to statistics, self-driving cars are safer than human drivers and the accident rate is lower.
2. Improve efficiency: Self-driving cars can achieve efficient route planning and optimization, and reduce congestion and waste. At the same time, the intelligent dispatching and carpooling system can also improve the utilization rate of vehicles, thus reducing the demand for the number of vehicles.
3. Convenient travel: For those who can't drive or can't drive because of age, health and other reasons, the emergence of self-driving cars provides convenience for them to travel. They can travel freely like others, to work, shop or have fun.
4. Promote innovation: The development of self-driving cars has spawned many new technologies and business models, such as high-precision maps, inter-vehicle communication and intelligent transportation systems. These technologies and systems will provide new solutions for future urban planning and traffic management.
5. Reduce carbon emissions: Self-driving cars can also help reduce carbon emissions. By intelligently scheduling and optimizing driving routes, self-driving cars can reduce unnecessary idling and congestion, thus reducing fuel consumption and carbon emissions.