Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Lane boundary detection data generation in virtual environment

A technology of data generation and environment, applied in the field of vehicle systems, which can solve the problems of expensive time, money and resources

Inactive Publication Date: 2017-04-26
FORD GLOBAL TECH LLC
View PDF10 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, obtaining large amounts of useful real-world data is expensive in terms of time, money, and resources

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
  • Lane boundary detection data generation in virtual environment
  • Lane boundary detection data generation in virtual environment
  • Lane boundary detection data generation in virtual environment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] In the following description, reference is made to the accompanying drawings which form a part hereof, and in which are shown by way of illustrations specific exemplary embodiments in which the invention may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the concepts disclosed herein, and it will be appreciated that modifications may be made in the various disclosed embodiments without departing from the scope of the invention, And other embodiments can be utilized. Therefore, the following detailed description should not be considered as limiting.

[0040] In the development of lane boundary detection algorithms that detect lane boundaries with or without various markings, multiple sets of sensor data are required to train, develop, test, and validate the lane boundary detection algorithm and additional downstream functions associated with the algorithm. However, obtaining real-world sensor data often ...

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

A method and an apparatus pertaining to generating training data are provided. The method may include executing a simulation process. The simulation process may include traversing one or more virtual sensors over a virtual driving environment defining a plurality of lane markings or virtual objects that are each sensible by the one or more virtual sensors. During the traversing, each of the one or more virtual sensors may be moved with respect to the virtual driving environment as dictated by a vehicle-dynamic model modeling motion of a vehicle driving on a virtual road surface of the virtual driving environment while carrying the one or more virtual sensors. Virtual sensor data characterizing the virtual driving environment may be recorded. The virtual sensor data may correspond to what an actual sensor would produce in a real-world environment that is similar or substantially matching the virtual driving environment.

Description

technical field [0001] The present invention relates generally to vehicle systems, and more particularly to methods and systems for generating training data suitable for developing, training, testing and validating algorithms for detecting lane boundaries in a driving environment. Background technique [0002] Well-proven algorithms for interpreting sensor data are indispensable in order to provide, enable, or otherwise support functions such as driver assistance, controlling vehicle dynamics, and / or autonomous driving. In particular, algorithms for detecting the boundaries of driving lanes are crucial. Currently, such algorithms rely on real-world sensor data for development, training, testing, and validation. However, obtaining large amounts of useful real-world data is expensive in terms of time, money, and resources. Contents of the invention [0003] According to the present invention, a method is provided, comprising: [0004] A virtual driving environment is gene...

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
IPC IPC(8): G06K9/00G06V10/776
CPCG06V20/588G09B9/00G09B9/042G06V10/776G06N20/00B60W30/12G06F30/15G06F18/217G06T19/003
Inventor 艾希莉·伊丽莎白·米克斯温卡塔帕斯·拉居·纳尔帕布里勒·赖夫维迪亚·那利亚姆布特·穆拉里斯内哈·卡德托塔德
Owner FORD GLOBAL TECH LLC
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com