Method for estimating coverage of space of traffic scene

A traffic scene and space technology, applied in computing, computer parts, instruments, etc., can solve the problem of not knowing which traffic scenes to simulate and how many traffic scenes to simulate.

Pending Publication Date: 2022-07-08
ZF FRIEDRICHSHAFEN AG
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it is unclear which and how many traffic scenarios must be simulated

Method used

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  • Method for estimating coverage of space of traffic scene
  • Method for estimating coverage of space of traffic scene
  • Method for estimating coverage of space of traffic scene

Examples

Experimental program
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Embodiment Construction

[0049] In a first step S1 a plurality of traffic scenarios are provided. For example, these traffic scenarios can be generated by filming real traffic scenarios using the measurement system in the test vehicle or by simulation. For example, real traffic scenarios can be altered in the simulation to generate new traffic scenarios. Here, the traffic scene refers to all routes, ie the scene space corresponds to the sum of all traffic scenes in the traffic. Alternatively or additionally, cell phone cameras, drones, etc. can be used to generate realistic traffic scenes. Alternatively or additionally, a real traffic scene can also be generated by stationary and / or traffic detection systems, for example traffic cameras and / or traffic monitoring devices. These are comprehensive and at the same time inexpensive data sources.

[0050] Other sources could be database systems, where real moving vehicles provide eg paid road segments as traffic scenarios.

[0051] In the second step S2...

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Abstract

The invention relates to a computer-implemented method for estimating the spatial coverage of a traffic scene, characterized by the following steps: providing different traffic scenes; -classifying and / or clustering the traffic scenes as known traffic scenes or unknown traffic scenes; applying a statistical method to the classified and / or clustered traffic scene in order to estimate a predetermined number of features describing a spatial coverage of the traffic scene; and generating a further different traffic scene or interruption method depending on the number of features. The invention further relates to a device for data processing.

Description

technical field [0001] The present invention relates to a method and a computer program for estimating the spatial coverage of a traffic scene. Background technique [0002] An autonomous vehicle is a vehicle that can detect its surroundings and navigate with little or no user input. Autonomous vehicles detect their surroundings by using sensor devices such as radar, lidar, image sensors, etc. [0003] There are different levels of automation or levels of automation: namely assisted, semi-automated, highly automated, fully automated and autonomous. [0004] In level 1, assisted driving, the driver is supported by at least one modern assistance system, eg an automatic cruise control with distance control or lane departure warning. [0005] In level 2, semi-autonomous driving, two or more assistance systems are combined, such as traffic jam assist, which maintains distance and lanes in stop-and-go traffic. [0006] In level 3, conditional automated driving, the vehicle driv...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V20/56
CPCG06V20/56G06F18/23G06F18/24133G06N3/02G08G1/0116G08G1/0133G08G1/0137
Inventor 约翰内斯·道贝约亨·科勒姆拉詹·拉迪奇阿米尔·奥梅拉季奇奥利弗·绍特朱利安·金
Owner ZF FRIEDRICHSHAFEN AG
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