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Multi-scene-oriented intelligent driving autonomous lane keeping performance detection method

A technology for intelligent driving and lane keeping, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as low efficiency, single test conditions, and poor adaptability

Active Publication Date: 2019-12-03
SOUTHEAST UNIV
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  • Abstract
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  • Claims
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Problems solved by technology

[0005] Purpose of the invention: Aiming at the above problems, the present invention discloses a Multi-scenario-oriented autonomous lane keeping performance detection method for intelligent driving

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  • Multi-scene-oriented intelligent driving autonomous lane keeping performance detection method
  • Multi-scene-oriented intelligent driving autonomous lane keeping performance detection method
  • Multi-scene-oriented intelligent driving autonomous lane keeping performance detection method

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Embodiment Construction

[0089] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0090] As an important part of intelligent driving technology, lane keeping assistance is an important link in the evaluation of the driving ability of intelligent driving vehicles, and it is also an indispensable prerequisite for ensuring that intelligent driving vehicles go to public roads. For this reason, many standards and specifications have been formulated at home and abroad to test and evaluate autonomous lane keeping performance. Among them, Western developed countries have formulated many vehicle performance testing and evaluation standards including ISO11270-2014 "Intelligent Transportation System-Lane Keeping Assist System Performance Requirements and Test Process" to ensure the active safety of vehicles. At the same time, the government has also issued many relevant national standards, such as GB / T 17993-2017 "Gen...

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Abstract

The invention discloses a multi-scene-oriented intelligent driving autonomous lane keeping performance detection method. The method comprises: firstly, introducing a beta spline curve, and establishing a road model oriented to an intelligent driving automobile test scene; secondly, establishing a vehicle motion model based on multi-source information fusion by utilizing an improved strong trackingKalman filtering algorithm, so as to accurately calculate key basic performance parameters of vehicle motion; and finally, based on the road network and the vehicle motion information, quantifying and outputting evaluation indexes of the autonomous lane keeping performance: transverse deviation, yaw stability and path tracking precision. According to the intelligent driving autonomous lane keeping performance detection method, the defects that an existing test method is low in efficiency, poor in adaptability and relatively single in test working condition are overcome, and high-precision andhigh-frequency evaluation of the intelligent driving automobile autonomous lane keeping performance under various test scenes is achieved.

Description

technical field [0001] The invention belongs to the technical field of road testing and testing of intelligent driving vehicles, and in particular relates to a multi-scenario-oriented autonomous lane keeping performance detection method for intelligent driving. Background technique [0002] With the continuous increase of my country's traffic mileage and the explosive growth of car ownership, coupled with the complexity of my country's road conditions and traffic conditions, traffic accidents occur frequently, resulting in traffic interruptions, property losses, and casualties. Therefore, how to take effective means and measures to reduce the occurrence of traffic accidents is a problem that needs to be solved urgently. In this context, the research and development of advanced driver assistance systems that improve the active safety of automobiles and the research of intelligent driving technologies for autonomous driving and even unmanned driving are important means to effe...

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Application Information

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IPC IPC(8): G06F17/50
CPCY02T10/40
Inventor 李旭胡玮明徐启敏
Owner SOUTHEAST UNIV
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