A remote takeover method for unmanned vehicles based on scene familiarity

A familiar, unmanned vehicle technology, applied in the field of information processing, can solve problems such as cost increase, insecurity, and reduced practicality of unmanned vehicles, and achieve the effect of ensuring safety

Active Publication Date: 2022-01-11
QINGDAO ACADEMY OF INTELLIGENT IND
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, how to effectively judge when manual intervention should be performed is a difficult problem. Therefore, in practical applications, special personnel are often required to monitor at all times and manually judge the timing of takeover.
This method is not only inefficient and unsafe, but also increases the cost and reduces the practicality of driverless cars

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A remote takeover method for unmanned vehicles based on scene familiarity
  • A remote takeover method for unmanned vehicles based on scene familiarity
  • A remote takeover method for unmanned vehicles based on scene familiarity

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention.

[0027] The present invention provides a remote takeover method for unmanned vehicles based on scene familiarity, such as figure 1 shown, including the following steps:

[0028] (1) When the unmanned vehicle faces a new scene, it processes the data of multiple sensors deployed on the unmanned vehicle to generate corresponding fusion scene feature information;

[0029] The method for fusing scene feature information includes any one of Bayesian inference method, Kalman filter method, cluster analysis method, fuzzy set method or neural network method. Adopt Bayesian reasoning method among the present invention, specifically as follows:

[0030] Based on the environmental information perceived by the sensors deployed by the unmanned vehicle, regularize it and extract feature par...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a remote takeover method for an unmanned vehicle based on scene familiarity. When an unmanned vehicle faces a new scene, it processes sensor data to generate corresponding fused scene feature information; and then compares it with the information in the local memory. , to calculate the familiarity, if the familiarity exceeds the threshold, the scenario strategy with the highest similarity will be issued directly; otherwise, communicate with the cloud to obtain the historical scenario strategy, if there is a historical scenario with the highest similarity Issue historical scenario policies; if they do not exist, query the consensus policy library in the cloud, and issue consensus policies that exceed the threshold; otherwise, submit a remote takeover application to the remote control center. The method disclosed in the present invention can make full use of the historical experience strategy of the unmanned driving terminal and the consensus strategy verified by a large number of unmanned driving terminals, thereby effectively reducing the frequency of manual request to take over, improving the level of autonomy of unmanned driving and ensuring safety .

Description

technical field [0001] The invention belongs to the technical field of information processing, and in particular relates to a remote takeover method for unmanned vehicles based on scene familiarity. Background technique [0002] At present, with the increase of computing power and local memory capacity of automobile terminal processors and the development and progress of technologies such as sensors, data mining technology, deep learning and intelligent decision-making planning, unmanned driving has become the focus of research and development in the current academic and industrial circles field, and is expected to enter people's lives in the near future, bringing subversive changes to the transportation system. [0003] However, there are still many problems in the current driverless cars, including poor generalization ability to the scene and difficult decision-making in complex scenes. The current unmanned driving is still in the stage of low intelligence between L3-L4. ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/2458
CPCG06F16/2471G06V20/56G06F18/253
Inventor 王晓王飞跃杨林瑶
Owner QINGDAO ACADEMY OF INTELLIGENT IND
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap