Perception simulation for improved autonomous vehicle control

US10481044B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10481044-B2
Application numberUS-201715598693-A
CountryUS
Kind codeB2
Filing dateMay 18, 2017
Priority dateMay 18, 2017
Publication dateNov 19, 2019
Grant dateNov 19, 2019

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

A system and method for real world autonomous vehicle perception simulation are disclosed. A particular embodiment includes: receiving perception data from a plurality of sensors of an autonomous vehicle; configuring the perception simulation operation based on a comparison of the perception data against ground truth data; generating simulated perception data by simulating errors related to the physical constraints of one or more of the plurality of sensors, and by simulating noise in data provided by a sensor processing module corresponding to one or more of the plurality of sensors; and providing the simulated perception data to a motion planning system for the autonomous vehicle.

First claim

Opening claim text (preview).

What is claimed is: 1. A system comprising: a data processor; and a perception simulation module, executable by the data processor, the perception simulation module being configured to perform a perception simulation operation for autonomous vehicles, the perception simulation operation being configured to: receive perception data from a plurality of sensors of an autonomous vehicle; configure the perception simulation operation based on a comparison of the perception data against ground truth data; generate simulated perception data by simulating errors related to the physical constraints of one or more of the plurality of sensors, and by simulating noise in data provided by a sensor processing module corresponding to one or more of the plurality of sensors, wherein simulating errors related to the physical constraints of one or more of the plurality of sensors includes applying an occlusion beyond which the one or more of the plurality of sensors cannot detect objects; and provide the simulated perception data to a motion planning system for the autonomous vehicle. 2. The system of claim 1 wherein simulating noise in data provided by a sensor processing module corresponding to one or more of the plurality of sensors includes simulating errors in data produced by an image processing module. 3. A method comprising: receiving perception data from a plurality of sensors of an autonomous vehicle; configuring the perception simulation operation based on a comparison of the perception data against ground truth data; generating simulated perception data by simulating errors related to the physical constraints of one or more of the plurality of sensors, and by simulating noise in data provided by a sensor processing module corresponding to one or more of the plurality of sensors, wherein simulating errors related to the physical constraints of one or more of the plurality of sensors includes applying an occlusion beyond which the one or more of the plurality of sensors cannot detect objects; and providing the simulated perception data to a motion planning system for the autonomous vehicle. 4. The method of claim 3 wherein simulating noise in data provided by a sensor processing module corresponding to one or more of the plurality of sensors includes simulating errors in data produced by an image processing module. 5. A non-transitory machine-useable storage medium embodying instructions which, when executed by a machine, cause the machine to: receive perception data from a plurality of sensors of an autonomous vehicle; configure the perception simulation operation based on a comparison of the perception data against ground truth data; generate simulated perception data by simulating errors related to the physical constraints of one or more of the plurality of sensors, and by simulating noise in data provided by a sensor processing module corresponding to one or more of the plurality of sensors, wherein simulating errors related to the physical constraints of one or more of the plurality of sensors includes applying an occlusion beyond which the one or more of the plurality of sensors cannot detect objects; and provide the simulated perception data to a motion planning system for the autonomous vehicle. 6. The non-transitory machine-useable storage medium of claim 5 wherein the ground truth data is produced by a ground truth data simulation system. 7. The non-transitory machine-useable storage medium of claim 5 wherein simulating noise in data provided by a sensor processing module corresponding to one or more of the plurality of sensors includes simulating errors in data produced by an image processing module.

Assignees

Inventors

Classifications

  • G01M17/00Primary

    Testing of vehicles (testing fluid tightness G01M3/00; testing elastic properties of bodies or chassis, e.g. torsion-testing, G01M5/00; testing alignment of vehicle headlight devices G01M11/06; testing of engines G01M15/00) · CPC title

  • Sensor drifts or sensor failures · CPC title

  • Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units · CPC title

  • Diagnosing or detecting failures; Failure detection models · CPC title

  • G05D1/0246Primary

    using a video camera in combination with image processing means · CPC title

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What does patent US10481044B2 cover?
A system and method for real world autonomous vehicle perception simulation are disclosed. A particular embodiment includes: receiving perception data from a plurality of sensors of an autonomous vehicle; configuring the perception simulation operation based on a comparison of the perception data against ground truth data; generating simulated perception data by simulating errors related to the…
Who is the assignee on this patent?
TuSimple
What technology area does this patent fall under?
Primary CPC classification G01M17/00. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Nov 19 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 12 related publications on this page (citations in our corpus or others sharing the same primary CPC).