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Automatic driving vehicle road driving adaptability evaluation method based on virtual simulation

A technology for adaptability evaluation and automatic driving, applied in design optimization/simulation, data processing applications, special data processing applications, etc.

Pending Publication Date: 2022-02-01
SOUTHEAST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are few studies in the industry that discuss the issue of "whether autonomous vehicles are suitable for the active road infrastructure and roadside facilities designed and built for manned vehicles"

Method used

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  • Automatic driving vehicle road driving adaptability evaluation method based on virtual simulation
  • Automatic driving vehicle road driving adaptability evaluation method based on virtual simulation
  • Automatic driving vehicle road driving adaptability evaluation method based on virtual simulation

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Embodiment Construction

[0043] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application.

[0044] In one embodiment, such as figure 1 As shown, a method for evaluating the road adaptability of autonomous driving vehicles based on virtual simulation is provided, including the following steps:

[0045] In step S220, the driving condition information of the autonomous vehicle is acquired, and the driving condition information includes road design information, information of the autonomous vehicle, and roadside and roadside environmental information.

[0046] Among them, the road design information includes road straight lines, curves and corner tables, vertical curve design tables,...

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Abstract

The invention relates to an automatic driving vehicle road driving adaptability evaluation method based on virtual simulation. The method comprises the following steps: acquiring driving condition information of the autonomous vehicle; constructing an automatic driving vehicle simulation test scene in simulation software by using the vehicle driving condition information, and testing to obtain an available sight distance; establishing an automatic driving sight distance failure performance function based on the demand parking sight distance and the available sight distance of different automatic driving levels; analyzing the automatic driving sight distance failure probability of each position point of the target road based on the automatic driving sight distance failure performance function to obtain the automatic driving sight distance failure probability of each position point; and performing analysis according to the segmentation result of the target road and the automatic driving sight distance failure probability of each position point, and determining an adaptability evaluation result of each segment of the automatic driving vehicle driving along the target road. The driving adaptability of the automatic driving vehicle on the target road can be efficiently and safely quantitatively evaluated.

Description

technical field [0001] The present application relates to the technical field of road driving, in particular to a virtual simulation-based method for evaluating road driving adaptability of autonomous vehicles. Background technique [0002] Self-driving vehicles with intelligence as an important feature are bringing major changes to the automotive industry. Autonomous driving technology is expected to help improve road safety, traffic efficiency, alleviate traffic congestion, reduce driving energy consumption and reduce environmental pollution. The automatic driving system with environment perception technology, intelligent decision-making technology and control execution technology as the main technical framework uses machine vision and radar to replace the driver's vision; uses on-board computing unit, decision-making unit and control unit to replace the driver's brain; Motion actuators such as steering and gear change replace the driver's limbs. With the improvement of ...

Claims

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Application Information

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IPC IPC(8): G06F30/20G06F30/15G06F17/18G06Q10/06G06Q50/30G06F119/02
CPCG06F30/20G06F30/15G06F17/18G06Q10/06393G06F2119/02G06Q50/40
Inventor 王书易于斌
Owner SOUTHEAST UNIV
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