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公开(公告)号:US10114106B2
公开(公告)日:2018-10-30
申请号:US15216866
申请日:2016-07-22
Applicant: DELPHI TECHNOLOGIES, INC.
Inventor: Jan K. Schiffmann , Yu Liu , David A. Schwartz , Xumin Zhu
Abstract: In accordance with one embodiment, a radar system with auto-alignment suitable for use in an automated vehicle is provided. The system includes a radar-sensor, a speed-sensor, and a controller. The radar-sensor is used to detect objects present in a field-of-view proximate to a host-vehicle on which the radar-sensor is mounted. The radar-sensor is operable to determine a measured-range-rate (dRm), a measured-azimuth-angle (Am), and a measured-elevation-angle (Em) to each of at least three objects present in the field-of-view. The speed-sensor is used to determine a measured-speed (Sm) of the host-vehicle. The controller is in communication with the radar-sensor and the speed-sensor. The controller is configured to simultaneously determine a speed-scaling-error (Bs) of the measured-speed, an azimuth-misalignment (Ba) of the radar-sensor, and an elevation-misalignment (Be) of the radar-sensor based on the measured-range-rate, the measured-azimuth-angle, and the measured-elevation-angle to each of the at least three objects, while the host-vehicle is moving.
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公开(公告)号:US10037472B1
公开(公告)日:2018-07-31
申请号:US15465296
申请日:2017-03-21
Applicant: Delphi Technologies, Inc.
Inventor: Susan Chen , David A. Schwartz , Anuradha Mangalgiri , Yu Liu , Jan Siegemund
CPC classification number: G06K9/00805 , B60W30/00 , G01S13/42 , G01S13/726 , G01S13/867 , G01S13/931 , G06K9/00798 , G06K9/6288 , G08G1/166 , G08G1/167
Abstract: An object detection system for an automated vehicle includes a radar, a camera, and a controller. The radar detects a cluster of targets characterized by a radar-distance (x) from the host-vehicle. The camera renders an image of an object and a lane-marking present in the area. The controller is configured to determine an equation that is a function of a longitudinal-distance from the host-vehicle and corresponds to the lane-marking, determine a first-optical-angle (θ) based on a first-image-distance between a reference-point on the object and a spot on the image indicated by the equation where the longitudinal-distance is equal to the radar-distance, determine a lateral-distance (Dist_LM) between the object and the lane-marking based on the first-optical-angle and the radar-distance, and determine a first-lateral-offset (yRM) between the object and a longitudinal-axis of the host-vehicle based on the lateral-distance and a first-value of the equation where the longitudinal-distance is equal to the radar-distance.
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公开(公告)号:US20180067494A1
公开(公告)日:2018-03-08
申请号:US15255737
申请日:2016-09-02
Applicant: DELPHI TECHNOLOGIES, INC.
Inventor: Jan K. Schiffmann , David A. Schwartz
CPC classification number: G05D1/0231 , B60W30/12 , G01S7/4802 , G01S17/89 , G01S17/936 , G05D1/0088 , G06F17/5009 , G06K9/00798 , G06K2209/40 , G06T7/70 , G06T2207/10028 , H04N7/183
Abstract: A road-model-definition system suitable for an automated-vehicle includes a camera, a lidar-unit, and a controller. The camera used is to provide an image of an area proximate to a host-vehicle. The lidar-unit is used to provide a point-cloud descriptive of the area. The controller is in communication with the camera and the lidar-unit. The controller is configured to determine an image-position of a lane-marking in the image, select ground-points from the point-cloud indicative of a travel-surface, determine coefficients of a three-dimensional (3D) road-model based on the ground-points, and determine a transformation to map the lane-marking in the image onto the travel-surface based on the image-position of a lane-marking and the 3D road-model and thereby obtain a 3D marking-model.
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公开(公告)号:US20180024228A1
公开(公告)日:2018-01-25
申请号:US15216866
申请日:2016-07-22
Applicant: DELPHI TECHNOLOGIES, INC.
Inventor: Jan K. Schiffmann , Yu Liu , David A. Schwartz , Xumin Zhu
CPC classification number: G01S7/4026 , G01S7/415 , G01S13/60 , G01S13/86 , G01S13/931 , G01S2007/403 , G01S2007/4034 , G01S2007/4091 , G01S2013/9342 , G01S2013/9346 , G01S2013/935 , G01S2013/9353 , G01S2013/9375
Abstract: In accordance with one embodiment, a radar system with auto-alignment suitable for use in an automated vehicle is provided. The system includes a radar-sensor, a speed-sensor, and a controller. The radar-sensor is used to detect objects present in a field-of-view proximate to a host-vehicle on which the radar-sensor is mounted. The radar-sensor is operable to determine a measured-range-rate (dRm), a measured-azimuth-angle (Am), and a measured-elevation-angle (Em) to each of at least three objects present in the field-of-view. The speed-sensor is used to determine a measured-speed (Sm) of the host-vehicle. The controller is in communication with the radar-sensor and the speed-sensor. The controller is configured to simultaneously determine a speed-scaling-error (Bs) of the measured-speed, an azimuth-misalignment (Ba) of the radar-sensor, and an elevation-misalignment (Be) of the radar-sensor based on the measured-range-rate, the measured-azimuth-angle, and the measured-elevation-angle to each of the at least three objects, while the host-vehicle is moving.
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