Abstract: An illustrative example object detection system includes a camera having a field of view. The camera provides an output comprising information regarding potential objects within the field of view. A processor is configured to select a portion of the camera output based on information from at least one other type of detector that indicates a potential object in the selected portion. The processor determines an Objectness of the selected portion based on information in the camera output regarding the selected portion.

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.

Abstract: An object-detection system suitable for an automated vehicle includes a lidar and a controller. The lidar is used to detect a point-cloud that is organized into a plurality of scan-lines. The controller is in communication with the lidar. The controller is configured to classify each detected point in the point-cloud as a ground-point or a non-ground-point, define runs of non-ground-points, where each run characterized by one or multiple instances of adjacent non-ground-points in a scan-line separated from a subsequent run of one or more non-ground-points by at least one instance of a ground-point, define a cluster of non-ground-points associated with the object. The cluster is characterized by a first run from a first scan-line being associated with a second run from a second scan-line when a first point from the first run is displaced less than a distance-threshold from a second point from the second run.

Abstract: An illustrative example object detection system includes a camera having a field of view. The camera provides an output comprising information regarding potential objects within the field of view. A processor is configured to select a portion of the camera output based on information from at least one other type of detector that indicates a potential object in the selected portion. The processor determines an Objectness of the selected portion based on information in the camera output regarding the selected portion.

Abstract: An object-detection system suitable for an automated vehicle includes a lidar and a controller. The lidar is used to detect a point-cloud that is organized into a plurality of scan-lines. The controller is in communication with the lidar. The controller is configured to classify each detected point in the point-cloud as a ground-point or a non-ground-point, define runs of non-ground-points, where each run characterized by one or multiple instances of adjacent non-ground-points in a scan-line separated from a subsequent run of one or more non-ground-points by at least one instance of a ground-point, define a cluster of non-ground-points associated with the object. The cluster is characterized by a first run from a first scan-line being associated with a second run from a second scan-line when a first point from the first run is displaced less than a distance-threshold from a second point from the second run.