Multi-scene-oriented intelligent driving autonomous lane change performance test method
A technology for lane changing and intelligent driving, which is applied in vehicle testing, vehicle steering/bump performance, machine/structural component testing, etc., and can solve problems such as the lack of quantified autonomous lane changing performance indicators
Active Publication Date: 2020-04-10
SOUTHEAST UNIV
View PDF9 Cites 11 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
However, for the test of autonomous lane-changing performance of intelligent driving, there is still a lack of clear and unified test methods and
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 moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Login to view more PUM
Login to view more Abstract
The invention discloses a multi-scene-oriented intelligent driving autonomous lane change performance test method. The method comprises:firstly, establishing a lane change dynamic model based on a kinematics bicycle model according to motion characteristics in an autonomous lane change process; secondly, conducting filtering estimation on state variables such as the position, the speed and the azimuth angle of the vehicle through an improved unscented Kalman filtering algorithm; and finally, based on accurately recursivevehicle key basic performance parameters, constructing a lane change performance evaluation index system, and quantifying and outputting evaluation indexes of the autonomous lane change performance, including a target gap, distance collision time and doubling yaw stability,so as to realize high-precision and high-frequency measurement and scientific quantitative evaluation of the advantages and disadvantages of the intelligent driving autonomous lane change performance.
Description
technical field [0001] The invention relates to the technical field of intelligent driving, in particular to a multi-scenario-oriented test method for autonomous lane change performance of intelligent driving. Background technique [0002] With the continuous development of my country's economy, the development of transportation is facing the dual pressure of providing equal public services with wider coverage and ensuring road traffic safety and efficiency. According to statistics, the ratio of all traffic accidents is as high as 50% because of the traffic accidents caused by automobiles deviating from the normal driving lane. In order to effectively reduce the occurrence of traffic accidents caused by untimely lane changes, the function of intelligent driving autonomous lane change (merging) has become an important part of intelligent driving technology, and its performance is the prerequisite for ensuring the safety of intelligent driving vehicles on the road. Therefore,...
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
Login to view more IPC IPC(8): G01M17/007G01M17/06G06F30/20
CPCG01M17/007G01M17/06
Inventor 李旭胡玮明徐启敏胡锦超
Owner SOUTHEAST UNIV
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
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