A system evaluation method and device
An evaluation method and evaluation technology, applied in error detection/correction, software testing/debugging, instruments, etc., can solve problems such as low effectiveness and efficiency, small application scope, etc., to reduce impact, improve coverage, and accurately quantify The effect of analysis
Active Publication Date: 2021-08-31
天翼交通科技有限公司
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Problems solved by technology
However, the current automatic driving system is still challenged by many factors, so the evaluation of the automatic driving system is very important
[0003] For the current evaluation of automatic driving systems, many of them can only analyze a single module through actual road test data. There are few comprehensive analysis and evaluation of multi-modules, and the existing multi-module comprehensive analysis and evaluation methods are only based on various indicators. The linear superposition is mainly, the validity and efficiency of the evaluation are not high and the scope of application is small
[0004] Therefore, the current evaluation methods for autonomous driving technology systems have technical problems such as low evaluation effectiveness and efficiency and a small scope of application, which need to be improved
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[0030] The technical solutions in the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts fall within the protection scope of the present invention.
[0031] The terms "first", "second" and the like in the description and claims of the present invention and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific sequence or sequence. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments described herein can be practiced in sequences other than those illustrated or described herein. Furthermore, the terms "comprising" and...
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The present invention provides a system evaluation method and device; the method first determines the target system and its subordinate target modules according to the evaluation requirements, then acquires scene data and evaluation parameters, and stores the scene data, wherein the evaluation parameters include comparison parameters and evaluation levels , while the comparison parameters include software version identification and application scene identification, and the evaluation level includes system level or module level, and then process the scene data according to the evaluation parameters to obtain the playback data of each target module, and finally according to the playback data of each target module , to determine the evaluation result. The method provided by the present invention realizes data playback by utilizing historical data, and can realize relatively accurate quantitative analysis on systems or modules between different system versions or between different business scenarios, thereby improving evaluation efficiency.
Description
technical field [0001] The invention relates to the technical field of automatic driving, in particular to a system evaluation method and device. Background technique [0002] With the development of autonomous driving technology, the penetration of unmanned vehicles in actual roads is increasing. However, the current automatic driving system is still challenged by many factors, so the evaluation of the automatic driving system is very important. [0003] For the current evaluation of automatic driving systems, many of them can only analyze a single module through actual road test data. There are few comprehensive analysis and evaluation of multi-modules, and the existing multi-module comprehensive analysis and evaluation methods are only based on various indicators. The linear superposition is mainly, the validity and efficiency of the evaluation are not high and the scope of application is small. [0004] Therefore, the current evaluation methods for autonomous driving t...
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IPC IPC(8): G06F11/36
CPCG06F11/368G06F11/3688
Inventor 何露宋梦琦雷达王劲
Owner 天翼交通科技有限公司