An environmental modeling capability assessment method and system for an autonomous vehicle

A self-driving and evaluation system technology, applied in the field of environmental modeling capability evaluation of self-driving vehicles, can solve problems such as inability to reflect the driving effect of the vehicle, far different functional safety requirements, and inconsistency, so as to improve accuracy and stability, Accurate assessment, effects of increased precision and stability

Active Publication Date: 2019-05-28
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

The technology presented in this patented method helps researchers better identify road conditions around cars or other objects on roads during automated driving simulations (ADV). By continuously analyzing an ADV frame over time, they are able to provide stronger data supports than previous methods like manually annotate them. This results in improved assessment efficiency and consistently high quality environmental descriptions. Overall, these improvements help drivers reduce their impact upon surrounding environments while making informed decisions about how best to navigate through complex scenarios such as urban areas.

Problems solved by technology

This patented technical problem addressed in this patents relating to autonomously driven cars is related to improving their ability to detect obstacles while navigating safely within its own surroundings due to poor environmental models caused by limited sensor technology used during navigation.

Method used

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  • An environmental modeling capability assessment method and system for an autonomous vehicle
  • An environmental modeling capability assessment method and system for an autonomous vehicle
  • An environmental modeling capability assessment method and system for an autonomous vehicle

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Embodiment Construction

[0029] The specific implementation manners of the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation manners described here are only used to illustrate and explain the embodiments of the present invention, and are not intended to limit the embodiments of the present invention.

[0030] In the embodiment of the present invention, unless otherwise stated, the orientation words used such as "far, middle, near" are all based on the corresponding contours, which can be combined with the specific description and drawings in the embodiment of the present invention to understand. In addition, in the embodiments of the present invention, "frame" represents time, "single frame" can be understood as a single time, and continuous frames and multiple consecutive frames can be understood as continuous time.

[0031] In the process of realizing the solution of this app...

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Abstract

The embodiment of the invention provides an environmental modeling capability assessment method and system for an autonomous vehicle, and belongs to the field of intelligent transportation. The methodcomprises the following steps: obtaining environment information of a plurality of continuous frames of a vehicle environment detected by a vehicle-mounted sensing system of the automatic driving vehicle; comparing and analyzing the environment information of a plurality of consecutive frames with corresponding real environment information, judging whether one or more of information delay, information missing report and signal false report exist or not, and if yes, counting the time of the information delay and the occurrence frequency of the information missing report and the signal false report; And evaluating the environment modeling capability of the autonomous vehicle according to the information delay time, the occurrence frequency of the information missing report and/or the occurrence frequency of the signal false report. According to the method, the labeling frequency and labeling quantity of information delay, information missing reporting, information false reporting and the like are improved, and more powerful data support is provided for evaluating the environment modeling capability of the autonomous vehicle.

Description

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Claims

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Application Information

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Owner BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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