Abstract: A braking-system suitable for use on an automated vehicle includes a ranging-sensor, a braking-actuator and a controller in communication with the ranging-sensor and the braking-actuator. The ranging-sensor is used to detect an object proximate to a host-vehicle when the object resides in a field-of-view of the ranging-sensor. The field-of-view defines a bottom-edge of the field-of-view and a boundary of a conflict-zone, where the boundary corresponds to a portion of the bottom-edge. The a braking-actuator used to control movement of the host-vehicle. The controller determines a height of the object, determines a distance to the object, determines a range-rate of the object when the object is in the field-of-view, and activates the braking-actuator when an estimated-distance to the object is less than a distance-threshold, the height of the object is greater than a height-threshold, and the object has crossed the boundary and thereby enters the conflict-zone.

Abstract: A trailer-identification system is configured to identify a trailer towed by a host-vehicle. The system includes a camera and a controller. The camera is used to capture an image of a trailer towed by a host-vehicle. The controller is in communication with the camera and is configured to detect a character on the trailer, identify a trailer-model of the trailer based on the character, and adjust a blind-zone proximate to the host-vehicle based on the trailer-model.

Abstract: A warning system includes an angle-detector, a curvature-detection-means, an alert-device, and a controller-circuit. The angle-detector indicates a steering-angle of a hand-wheel of a host-vehicle. The curvature-detection-means detects a curvature of a portion of a roadway traveled by the host-vehicle characterized as ahead of the host-vehicle. The alert-device is operable to alert an operator of the host-vehicle of driver-fatigue. The controller-circuit is in communication with the angle-detector, the curvature-detection-means, and the alert-device.

Abstract: An automated speed control system includes a ranging-sensor, a camera, and a controller. The ranging-sensor detects a lead-speed of a lead-vehicle traveling ahead of a host-vehicle. The camera detects an object in a field-of-view. The controller is in communication with the ranging-sensor and the camera. The controller is operable to control the host-vehicle. The controller determines a change in the lead-speed based on the ranging-sensor. The controller reduces a host-speed of the host-vehicle when the lead-speed is decreasing, no object is detected by the camera, and while a portion of the field-of-view is obscured by the lead-vehicle.

Abstract: An object-detection system suitable for use on an autonomous vehicle includes a camera, a radar-sensor, and a controller. The camera detects a travel-lane of a roadway traveled by a host-vehicle. The radar-sensor detects targets in a field-of-view of the radar-sensor. The field-of-view includes the roadway, wherein the roadway defines a boundary of the roadway detected by the radar-sensor. The controller is in communication with the camera and the radar-sensor. The controller determines that a collection of targets is a stationary-object that defines a line. The controller classifies the stationary-object as an overpass when the line extends beyond the boundary of the roadway. The controller classifies the stationary-object as an impediment when the line overlays a portion of the travel-lane traveled by the host-vehicle and does not extend beyond the boundary of the roadway.

Abstract: A navigation-system for use on an automated vehicle includes a perception-sensor and a controller. The perception-sensor detects objects present proximate to a host-vehicle and detects a gradient of an area proximate to the host-vehicle. The controller is in communication with the perception-sensor. The controller is configured to control the host-vehicle. The controller determines a free-space defined as off of a roadway traveled by the host-vehicle, and drives the host-vehicle through the free-space when the gradient of the free-space is less than a slope-threshold and the objects can be traversed.

Abstract: A trailer detection system is configured to determine a presence of a trailer towed by a host-vehicle. The system includes a camera and a controller. The camera is used to capture an image of an area behind a host vehicle. The controller is in communication with the camera. The controller is used to detect a position of an edge in the image and determine that the edge is associated with a trailer towed by the host vehicle when the position of the edge moves less than a movement threshold.

Abstract: A guidance system, for use on an automated vehicle includes a camera, a vehicle-to-vehicle transceiver, and a controller. The camera detects a lane-marking on a roadway and detects a lead-vehicle traveling ahead of a host-vehicle. The vehicle-to-vehicle transceiver receives a future-waypoint from the lead-vehicle, wherein the future-waypoint defines a future-route of the lead-vehicle along the roadway. The controller is in communication with the camera and the vehicle-to-vehicle transceiver. The controller determines a projected-path for the host-vehicle based on the lane-marking. The controller also determines a lead-path of the lead-vehicle based on the camera. The controller steers the host-vehicle according to the lead-path when the lane-marking is not detected and the lead-path corresponds to the projected-path. The controller steers the host-vehicle according to the projected-path while the lane-marking is not detected and the future-waypoint does not correspond to the projected-path.

Abstract: An automated braking system for use on an automated vehicle includes a braking-actuator, a ranging-sensor, a digital-map, and a controller. The braking-actuator controls movement of a host-vehicle. The ranging-sensor detects a distance, a direction, and an elevation of targets in a field-of-view of the ranging-sensor. The field-of-view includes a roadway. The digital-map defines a travel-route of the host-vehicle and specifies a gradient of the roadway. The controller is in communication with the braking-actuator, the ranging-sensor, and the digital-map. The controller determines that a first-collection of the targets above a horizon is an overpass when the gradient indicates that the roadway descends below the overpass.

Abstract: A driver-fatigue warning system includes a speed-limit-detection-means, a speed-sensor, an alert-device, and a controller. The speed-limit-detection-means detects a speed-limit of a roadway traveled by a host-vehicle. The speed-sensor detects a speed of the host-vehicle. The alert-device is operable to alert an operator of the host-vehicle of driver-fatigue. The controller is in communication with the speed-limit-detection-means, the speed-sensor, and the alert-device. The controller determines a change of the speed-limit of the roadway based on the speed-limit-detection-means. The controller determines that a speed-change has occurred based on the speed-sensor when a variation in the speed is greater than a variation-threshold. The controller does not increment a count of occurrences of the speed-change when the speed-change correlates with the change of the speed-limit, and activates the alert-device when the count of occurrences of the speed-change exceeds a change-threshold indicative of driver-fatigue.

Abstract: An object-detection system suitable for use on an autonomous vehicle includes a camera, a radar-sensor, and a controller. The camera detects a travel-lane of a roadway traveled by a host-vehicle. The radar-sensor detects targets in a field-of-view of the radar-sensor. The field-of-view includes the roadway, wherein the roadway defines a boundary of the roadway detected by the radar-sensor. The controller is in communication with the camera and the radar-sensor. The controller determines that a collection of targets is a stationary-object that defines a line. The controller classifies the stationary-object as an overpass when the line extends beyond the boundary of the roadway. The controller classifies the stationary-object as an impediment when the line overlays a portion of the travel-lane traveled by the host-vehicle and does not extend beyond the boundary of the roadway.

Abstract: In accordance with one embodiment, a braking-system suitable for use on an automated vehicle is provided. The braking-system includes a ranging-sensor, a braking-actuator, and a controller in communication with the ranging-sensor and the braking-actuator. The ranging-sensor is used to detect a range-rate, a range, and a direction of an object proximate to a host-vehicle when the object resides in a field-of-view of the ranging-sensor. The field-of-view defines a conflict-zone and a conflict-buffer separate from the conflict-zone. The braking-actuator is used to control movement of the host-vehicle. The controller determines a trail of the object based on the range and the direction. The controller further classifies the object as slow-moving based on a rate-threshold. The controller further determines a tangent-vector based on the trail.

Abstract: A driver-fatigue warning system suitable for use in an automated vehicle includes a camera, an alert-device, and a controller. The camera renders an image of a lane-marking and of an object proximate to a host-vehicle. The alert-device is operable to alert an operator of the host-vehicle of driver-fatigue. The controller is in communication with the camera and the alert-device. The controller determines a vehicle-offset of the host-vehicle relative to the lane-marking based on the image. The controller determines an offset-position of the object relative to the lane-marking based on the image. The controller determines that a lane-departure has occurred when the vehicle-offset is less than a deviation-threshold. The controller does not count occurrences of lane-departures when the offset-position is less than an offset-threshold, and activates the alert-device when the count of the occurrences of lane-departures exceeds a crossing-threshold indicative of driver-fatigue.

Abstract: A braking system suitable for use on an automated vehicle includes a ranging-sensor, a braking-actuator, and a controller. The ranging-sensor detects reflections indicative of objects present in a field-of-view proximate to a host-vehicle. The braking-actuator controls movement of the host-vehicle. The controller is in communication with the ranging-sensor and the braking-actuator. The controller determines a region-of-interest within the field-of-view and defines an occupancy-grid that segregates the field-of-view into an array of grid-cells. The controller further determines a repeatability-of-detection of each of the grid-cells based on reflections detected by the ranging-sensor. The controller further determines that a rigid-object is present in the field-of-view when each of a string of the grid-cells are characterized by the repeatability-of-detection greater than a repeatability-threshold. The controller activates the braking-actuator when the string intersects the region-of-interest.

Abstract: A lane-control system suitable for use on an automated vehicle comprising a camera, a lidar-sensor, and a controller. The camera captures an image of a roadway traveled by a host-vehicle. The lidar-sensor detects a discontinuity in the roadway. The controller is in communication with the camera and the lidar-sensor and defines an area-of-interest within the image, constructs a road-model of the roadway based on the area-of-interest, determines that the host-vehicle is approaching the discontinuity, and adjusts the area-of-interest within the image based on the discontinuity.

Abstract: A lane-changing system suitable for use on an automated host-vehicle includes a camera, an inertial-measurement-unit, and a controller. The camera detects a lane-marking of a roadway traveled by a host-host-vehicle. The inertial-measurement-unit determines relative-motion of the host-host-vehicle. The controller is in communication with the camera and the inertial-measurement-unit. While the lane-marking is detected the controller steers the host-host-vehicle towards a centerline of an adjacent-lane of the roadway based on a last-position and a current-vector, and determines an offset-vector indicative of motion of the host-host-vehicle relative to the current-vector.

Abstract: A cross traffic detection system suitable for use on an automated vehicle includes an object-detector, an alert-device, and a controller. The object detector is used to determine locations of moving objects relative to a host vehicle. The alert device is used to alert an operator of the host vehicle to the location of the moving objects. The controller is in communication with the object detector and the alert device. The controller determines a first trail of a first moving object based on the locations of the first moving object, and determines a road model based on a polynomial of the first trail. The controller also determines a second trail of a second moving object, assigns a lane number to the second moving object based on the road model, and activates the alert device when the path of the second moving object resides in the lane-number overlain by a conflict zone.

Abstract: A lane-keeping system suitable for use on an automated vehicle includes a camera, an inertial-measurement-unit, and a controller. The camera is configured to detect a lane-marking of a roadway traveled by a vehicle. The inertial-measurement-unit is configured to determine relative-motion of the vehicle. The controller in communication with the camera and the inertial-measurement-unit. When the lane-marking is detected the controller is configured to steer the vehicle towards a centerline of the roadway based on a last-position, and determine an offset-vector indicative of motion of the vehicle relative to the centerline of the roadway.

Abstract: A lane-control system suitable for use on an automated vehicle comprising a camera, a lidar-sensor, and a controller. The camera captures an image of a roadway traveled by a host-vehicle. The lidar-sensor detects a discontinuity in the roadway. The controller is in communication with the camera and the lidar-sensor and defines an area-of-interest within the image, constructs a road-model of the roadway based on the area-of interest, determines that the host-vehicle is approaching the discontinuity, and adjusts the area-of-interest within the image based on the discontinuity.

Abstract: A braking-system suitable for use on an automated vehicle includes a ranging-sensor, a braking-actuator and a controller in communication with the ranging-sensor and the braking-actuator. The ranging-sensor is used to detect an object proximate to a host-vehicle when the object resides in a field-of-view of the ranging-sensor. The field-of-view defines a bottom-edge of the field-of-view and a boundary of a conflict-zone, where the boundary corresponds to a portion of the bottom-edge. The a braking-actuator used to control movement of the host-vehicle. The controller determines a height of the object, determines a distance to the object, determines a range-rate of the object when the object is in the field-of-view, and activates the braking-actuator when an estimated-distance to the object is less than a distance-threshold, the height of the object is greater than a height-threshold, and the object has crossed the boundary and thereby enters the conflict-zone.