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公开(公告)号:US20170227366A1
公开(公告)日:2017-08-10
申请号:US15040250
申请日:2016-02-10
Applicant: Delphi Technologies, Inc.
Inventor: Michael H. Laur , John P. Absmeier , Anthony Nguyen
CPC classification number: G01C21/32 , B60W30/00 , G05D1/0274 , G05D2201/0213
Abstract: A map-update system to update maps used by an automated vehicle includes an object-detection-device, an operator-communication-device, and a controller. The object-detection-device is used to detect objects proximate to a vehicle. The operator-communication-device is used to communicate an inquiry to an operator and detect a response from the operator. The controller is in communication with the object-detection-device and the operator-communication-device. The controller is configured to navigate the vehicle in accordance with a digitized-map, determine when an object detected by the object-detection-device does not correspond to an expected-feature present in the digitized-map, output an inquiry regarding the object to the operator via the operator-communication-device, and update the digitized-map based on the response from the operator.
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公开(公告)号:US20170191838A1
公开(公告)日:2017-07-06
申请号:US14987230
申请日:2016-01-04
Applicant: DELPHI TECHNOLOGIES, INC.
Inventor: Michael H. Laur , Nandita Mangal , Anthony Nguyen
CPC classification number: G06Q10/00 , G01C21/3484 , G06Q10/047 , G06Q30/0282 , G06Q50/10 , G06Q50/30
Abstract: A navigation system suitable to use on an automated vehicle includes an occupant-detection device and a memory. The occupant-detection device is used to determine a degree-of-interest of an occupant of a vehicle. The degree-of-interest is determined with regard to a route traveled by the vehicle. The memory used to store an interest-score of the route. The interest-score is based on the degree-of-interest exhibited by the occupant while traveling the route. The system may include a controller. The controller is in communication with the occupant-detection device and the memory. The controller is configured to operate the vehicle. The controller selects a preferred-route from a plurality of possible-routes. The preferred-route is characterized by a maximum-value of a prior-score associated with each one of the plurality of possible-routes.
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