Calibration method of vehicle automatic emergency brake model in vehicle-non-vehicle conflict scene

A machine-non-conflict, calibration method technology, applied in the fields of instruments, electrical digital data processing, computing, etc., can solve the problem of lack of detailed research on the driving scene, and achieve the effect of strong universality and improved interaction security.

Pending Publication Date: 2022-03-01
TONGJI UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the current automatic emergency braking system is mostly aimed at collisions between vehicles, and some tests and researches on collisions between motor vehicles and non-motor vehicles also use specific scenarios for testing. detailed research

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 more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Calibration method of vehicle automatic emergency brake model in vehicle-non-vehicle conflict scene
  • Calibration method of vehicle automatic emergency brake model in vehicle-non-vehicle conflict scene
  • Calibration method of vehicle automatic emergency brake model in vehicle-non-vehicle conflict scene

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0040] The invention relates to a calibration method of a vehicle automatic emergency braking model in a machine-non-conflict scene, which is applied to the field of automatic driving active safety. Based on the natural driving data, the threshold method combined with the video verification method is used to extract conflict segments between motor vehicles and non-motor vehicles. Restore the conflict scene in the Matlab Simulink simulation platform to realize the function of automatic emergency braking (Autonomous Emergency Braking, AEB). The test parameter set is extracted from the natural driving data, and simulated and verified in the simulation platform. The calibration of the model aims at the highest driving safety and the lowest conservativeness, and compares the safety and conservativeness indicators of different test parameter sets to determine the model calibration results. The model calibration result obtained in the invention can ensure the safety of the self-driv...

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

PUM

No PUM Login to view more

Abstract

The invention relates to a method for calibrating an automatic emergency braking model of a vehicle in a motor vehicle and non-motor vehicle conflict scene. The method comprises the following steps of: 1, extracting conflict fragment data of a motor vehicle and a non-motor vehicle from natural driving data by utilizing a threshold method and a video checking method; 2, restoring a conflict scene in the simulation platform, carrying out collision avoidance operation, and testing parameters of a collision avoidance algorithm; and 3, evaluating effects under different parameter combinations by using a safety evaluation index and a conservative evaluation index, and determining a calibration result of the model. Compared with the prior art, the method has the advantages of high safety and high applicability.

Description

technical field [0001] The invention relates to the field of automatic driving, in particular to a calibration method for a vehicle automatic emergency braking model in a machine-non-conflict scenario. Background technique [0002] There are a large number of non-motor vehicles in my country, they are widely used, and accidents are serious. According to estimates, there are nearly 400 million bicycles and nearly 300 million electric bicycles in China. The number of non-motor vehicle accidents caused by this is huge, and non-motor vehicle accidents are often more likely to cause casualties. Not only in China, other Asian countries such as Thailand, Cambodia, Indonesia, and European countries such as Sweden are also facing the increase in the number of non-motor vehicles and the emergence of non-motor vehicle accidents. With the increasing trend of autonomous driving technology, avoiding accidents with non-motorized vehicles is a severe challenge that autonomous vehicles must...

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
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/36
CPCG06F11/3684G06F11/3688G06F11/3664
Inventor 王雪松周维萱
Owner TONGJI 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
PatSnap group products

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