Delphi Technologies, Inc.

Aptiv Technologies Limited

Yu Liu

Jan Konried Schiffmann

David Aaron Schwartz

Jan Siegemund

Susan Chen

Anuradha Mangalgiri

Xumin Zhu

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.

Automated vehicle radar system with auto-alignment for azimuth, elevation, and vehicle speed-scaling-error

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 (&#x3b8;) 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 (y) 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.

Automated vehicle object detection system with camera image and radar data fusion

A radar system suitable for an automated vehicle includes a radar sensor and a controller. The radar-sensor is mounted on a host-vehicle. The radar-sensor is operable to detect radar-signals reflected by scattering-points of a target-vehicle located proximate to the host-vehicle. The controller is in communication with the radar-sensor. The controller is configured to determine a present-range-rate, a present-azimuth, and optionally a present-range, of each of the scattering-points at a present-time. The controller is also configured to recall a prior-range-rate, a prior-azimuth, and optionally a prior-range, of each of the scattering-points at a prior-time. The controller is also configured to calculate a yaw-rate of the target-vehicle at the present-time based on the present-range-rate, the present-azimuth, the prior-range-rate, and the prior-azimuth, and optionally the present-range and the prior-range, of each of the scattering-points.

Automated vehicle radar system to determine yaw-rate of a target vehicle

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Newbury Park, CA, United States of America

Yu Liu