View source for Beijing Baidu Netcom Science Technology Co., Ltd. (20240246575). AUTONOMOUS DRIVING METHOD simplified abstract

=AUTONOMOUS DRIVING METHOD=


==Organization Name==

[[:Category:Beijing Baidu Netcom Science Technology Co., Ltd.|Beijing Baidu Netcom Science Technology Co., Ltd.]]


[[Category:Beijing Baidu Netcom Science Technology Co., Ltd.]]

==Inventor(s)==

[[:Category:Jizhou Huang of Beijing (CN)|Jizhou Huang of Beijing (CN)]][[Category:Jizhou Huang of Beijing (CN)]]

[[:Category:Fan Wang of Beijing (CN)|Fan Wang of Beijing (CN)]][[Category:Fan Wang of Beijing (CN)]]

==AUTONOMOUS DRIVING METHOD - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240246575 titled 'AUTONOMOUS DRIVING METHOD

'''Simplified Explanation:'''
The patent application describes an autonomous driving method utilizing an automatic driving model with a multimodal encoding layer and a decision control layer. The method involves obtaining input information, processing it through the encoding layer to generate an implicit representation, and then using this representation in the decision control layer to determine the autonomous driving strategy.

* The autonomous driving method utilizes an automatic driving model with a multimodal encoding layer and a decision control layer.
* Input information is obtained and processed through the encoding layer to generate an implicit representation.
* The implicit representation is then used in the decision control layer to determine the target autonomous driving strategy.

'''Potential Applications:'''
1. Autonomous vehicles in transportation and logistics.
2. Enhanced safety features in self-driving cars.
3. Improved navigation systems for autonomous vehicles.

'''Problems Solved:'''
1. Enhancing the decision-making process in autonomous driving.
2. Improving the efficiency and accuracy of autonomous vehicles.
3. Addressing the need for advanced technology in self-driving cars.

'''Benefits:'''
1. Increased safety on the roads.
2. Enhanced efficiency in transportation systems.
3. Improved user experience in autonomous vehicles.

'''Commercial Applications:'''
The technology can be utilized in the automotive industry for the development of advanced autonomous driving systems, leading to safer and more efficient transportation solutions.

'''Questions about Autonomous Driving Method:'''
1. How does the autonomous driving method improve decision-making in self-driving cars?
2. What are the key components of the automatic driving model described in the patent application?

'''Frequently Updated Research:'''
Researchers are continually exploring ways to enhance the capabilities of autonomous driving systems, including advancements in artificial intelligence and sensor technology.


==Original Abstract Submitted==

an autonomous driving method implemented by using an automatic driving model is provided. the autonomous driving model comprises a multimodal encoding layer and a decision control layer. the autonomous driving method includes: obtaining first input information of the multimodal encoding layer; inputting the first input information into the multimodal encoding layer to obtain an implicit representation corresponding to the first input information output by the multimodal encoding layer; and inputting second input information including the implicit representation into the decision control layer to obtain target autonomous driving strategy information output by the decision control layer.



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