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Edge Segmentation Between Road Nodes

a road node and edge segmentation technology, applied in the direction of navigation instruments, instruments, image enhancement, etc., can solve the problems of fact limitation or even adversely affecting autonomous navigation, and the sheer volume of data needed to store and update the map poses daunting challenges

Pending Publication Date: 2022-07-14
MOBILEYE VISION TECH LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This solution enables autonomous vehicles to navigate effectively by reducing data storage needs and improving navigation accuracy through efficient data processing and transmission, allowing for precise localization and maneuver execution.

Problems solved by technology

Harnessing and interpreting vast volumes of information collected by an autonomous vehicle as the vehicle travels to its destination poses a multitude of design challenges.
The sheer quantity of data (e.g., captured image data, map data, GPS data, sensor data, etc.) that an autonomous vehicle may need to analyze, access, and / or store poses challenges that can in fact limit or even adversely affect autonomous navigation.
Furthermore, if an autonomous vehicle relies on traditional mapping technology to navigate, the sheer volume of data needed to store and update the map poses daunting challenges.

Method used

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  • Edge Segmentation Between Road Nodes
  • Edge Segmentation Between Road Nodes
  • Edge Segmentation Between Road Nodes

Examples

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Embodiment Construction

[0084]The following detailed description refers to the accompanying drawings. Wherever possible, the same reference numbers are used in the drawings and the following description to refer to the same or similar parts. While several illustrative embodiments are described herein, modifications, adaptations and other implementations are possible. For example, substitutions, additions or modifications may be made to the components illustrated in the drawings, and the illustrative methods described herein may be modified by substituting, reordering, removing, or adding steps to the disclosed methods. Accordingly, the following detailed description is not limited to the disclosed embodiments and examples. Instead, the proper scope is defined by the appended claims.

[0085]Autonomous Vehicle Overview

[0086]As used throughout this disclosure, the term “autonomous vehicle” refers to a vehicle capable of implementing at least one navigational change without driver input. A “navigational change” ...

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Abstract

A system for navigating a host vehicle includes at least one electronic horizon processor to determine an electronic horizon for the host vehicle based on localization of the host vehicle relative to at least one mapped feature, determine a set of internode road sub-segments that are included in the electronic horizon, generate one or more navigation information packets including information associated with the set of internode road sub-segments included in the electronic horizon, and output the generated one or more navigation information packets to one or more navigation system processors configured to cause the host vehicle to execute at least one navigational maneuver based on the information included in the navigation information packet.

Description

CROSS REFERENCES TO RELATED APPLICATIONS[0001]This application claims the benefit of priority of U.S. Provisional Application No. 63 / 001,733, filed on Mar. 30, 2020; and U.S. Provisional Application No. 63 / 152,925, filed on Feb. 24, 2021. The foregoing applications are incorporated herein by reference in their entireties.BACKGROUNDTechnical Field[0002]The present disclosure relates generally to autonomous vehicle navigation.Background Information[0003]As technology continues to advance, the goal of a fully autonomous vehicle that is capable of navigating on roadways is on the horizon. Autonomous vehicles may need to take into account a variety of factors and make appropriate decisions based on those factors to safely and accurately reach an intended destination. For example, an autonomous vehicle may need to process and interpret visual information (e.g., information captured from a camera) and may also use information obtained from other sources (e.g., from a GPS device, a speed se...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): G01C21/28B60W30/18G01C21/00
CPCG01C21/28G01C21/005B60W30/18009G01C21/34G01C21/265B60W30/14G01C21/3863G01C21/3815G01C21/3896G01C21/3848G06V20/588B60W30/12B60W30/143B60W30/18109B60W30/18163G06T11/203G06T2207/30256G01C21/3811G01C21/387G01C21/3889B60W2552/53
Inventor GOLDMAN, YEHONATANFISHER, AMIEL
Owner MOBILEYE VISION TECH LTD