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公开(公告)号:US20220292977A1
公开(公告)日:2022-09-15
申请号:US17827856
申请日:2022-05-30
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Elliot Branson , Eric Lujan , Benjamin Earle Weinstein-Raun
Abstract: An autonomous vehicle is described herein. The autonomous vehicle comprises a first sensor and a second sensor having limited fields of view, an articulation system, and a computing system. The computing system determines a first region and a second region external to the autonomous vehicle based on a sensor prioritization scheme comprising a ranking of regions surrounding the autonomous vehicle. The computing system then causes the articulation system to orient the first sensor towards the first region and the second region towards the second region. Responsive to receiving a sensor signal from the first sensor indicating that an object has entered a field of view of the first sensor, the computing system determines a third region having a higher ranking than the second region within the sensor prioritization scheme. The computing system then causes the articulation system to orient the second sensor towards the third region.
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公开(公告)号:US20200327810A1
公开(公告)日:2020-10-15
申请号:US16914421
申请日:2020-06-28
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Elliot Branson , Eric Lujan , Benjamin Earle Weinstein-Raun
Abstract: An autonomous vehicle is described herein. The autonomous vehicle comprises a first sensor and a second sensor having limited fields of view, an articulation system, and a computing system. The computing system determines a first region and a second region external to the autonomous vehicle based on a sensor prioritization scheme comprising a ranking of regions surrounding the autonomous vehicle. The computing system then causes the articulation system to orient the first sensor towards the first region and the second region towards the second region. Responsive to receiving a sensor signal from the first sensor indicating that an object has entered a field of view of the first sensor, the computing system determines a third region having a higher ranking than the second region within the sensor prioritization scheme. The computing system then causes the articulation system to orient the second sensor towards the third region.
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公开(公告)号:US20200043343A1
公开(公告)日:2020-02-06
申请号:US16052088
申请日:2018-08-01
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Elliot Branson , Eric Lujan , Benjamin Earle Weinstein-Raun
Abstract: An autonomous vehicle is described herein. The autonomous vehicle comprises a first sensor and a second sensor having limited fields of view, an articulation system, and a computing system. The computing system determines a first region and a second region external to the autonomous vehicle based on a sensor prioritization scheme comprising a ranking of regions surrounding the autonomous vehicle. The computing system then causes the articulation system to orient the first sensor towards the first region and the second region towards the second region. Responsive to receiving a sensor signal from the first sensor indicating that an object has entered a field of view of the first sensor, the computing system determines a third region having a higher ranking than the second region within the sensor prioritization scheme. The computing system then causes the articulation system to orient the second sensor towards the third region.
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公开(公告)号:US09884623B2
公开(公告)日:2018-02-06
申请号:US15209088
申请日:2016-07-13
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor: Juan Fasola , Stuart Glaser , Elliot Branson , Kyle Vogt
CPC classification number: B60W30/12 , B60W40/10 , G01C21/165 , G06K9/00208 , G06K9/00798 , G06K9/2018 , G06K9/6293
Abstract: A method for image-based vehicle localization includes measuring, at a vehicle, a position and a heading of the vehicle; capturing, at an image capture system of the vehicle, road surface image data of a road surface; processing the road surface image data to correct for distortion in the road surface image data due to pitch and roll of the vehicle; performing feature detection on the processed road surface image data to detect lane markers on the road surface; generating a local map based on the detected lane markers; wherein generating the local map comprises identifying a lane demarcated by the detected lane markers; and controlling the vehicle according to the local map.
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