Abstract:
A steering assist system configured to assist an operator to steer a vehicle includes a torque sensor, a location device, and a controller. The torque sensor is configured to output a torque signal indicative of a lateral force experienced by the vehicle. The location device is configured to determine a lateral position of the vehicle relative to a roadway. The controller configured to determine a steering correction to steer the vehicle toward a center of a roadway lane. The steering correction is based on the torque signal and the lateral position.
Abstract:
A vehicle-control system suitable for use on an automated vehicle includes a human-machine-interface and a controller. The human-machine-interface accepts an input from an operator of a host-vehicle. The controller is in communication with the human-machine-interface. The operator inputs a notification to the human-machine-interface. The notification indicates that the operator detects a circumstance that suggests a presence of the emergency-vehicle on the roadway that has not been detected by the system. The controller drives the host-vehicle in accordance with rules governing an operation of vehicles proximate to an emergency-vehicle stopped alongside a roadway.
Abstract:
A lane-keeping-assist system suitable for use on an automated vehicle includes a camera, a steering-actuator, and a controller. The camera detects a lane-marking of a travel-lane traveled by a host-vehicle. The steering-actuator controls a travel-direction of the host-vehicle. The controller is in communication with the camera and the steering-actuator. The controller determines a lane-width of the travel-lane and determines a centerline of the travel-lane based on the lane-marking. The controller further determines an offset-position of the host-vehicle within the travel-lane based on the lane-marking. The controller further determines a clearance between the host-vehicle and the lane-marking based on the offset-position. The controller further determines an adaptive-threshold based on the lane-width. The controller further determines that the host-vehicle is approaching the lane-marking when the clearance is less than the adaptive-threshold, and activates the steering-actuator to steer the host-vehicle toward the centerline of the travel-lane.
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. When the lane-marking is not detected the controller is configured to: determine an offset-position relative to the last-position based on information from the inertial-measurement-unit, determine a correction-vector used to steer the vehicle from the offset-position towards the centerline of the roadway based on the last-position and the offset-vector, and steer the vehicle according to the correction-vector.
Abstract:
A vehicle control system for operating an automated vehicle in a fashion more conducive to comfort of an occupant of the automated vehicle includes a sensor, an electronic-horizon database, vehicle-controls, and a controller. The sensor is used to determine a centerline of a travel-lane traveled by a host-vehicle. The electronic-horizon database indicates a shape of the travel-lane beyond where the sensor is able to detect the travel-lane. The vehicle-controls are operable to control motion of the host-vehicle. The controller is configured to determine when the database indicates that following the shape of the travel-lane beyond where the sensor is able to detect the travel-lane will make following the centerline by the host-vehicle uncomfortable to an occupant of the host-vehicle, and operate the vehicle-controls to steer the host-vehicle away from the centerline when following the centerline will make the occupant uncomfortable.
Abstract:
A route-planning system includes a digital-map and a controller. The digital-map is used to define a travel-route of a host-vehicle traveling to a destination. The digital-map identifies a plurality of fueling-stations along the travel-route. The controller is in communication with the digital-map. The controller determines a fuel-range of the host-vehicle. When an operator of the host-vehicle causes the host-vehicle to deviate from the travel-route and the fuel-range is less than a fuel-range-threshold, the controller notifies the operator of the host-vehicle of a fueling-station available to refuel the host-vehicle. The available fueling-station is based on the fuel-range and a distance to the fueling-station when the distance is less than a route-deviation-threshold. The controller then drives the host-vehicle to the fueling-station when the operator selects the fueling-station.
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. While the lane-marking is not detected the controller determines an offset-position relative to the last-position based on information from the inertial-measurement-unit, determines a correction-vector used to steer the host-host-vehicle from the offset-position towards the centerline of the adjacent-lane of the roadway based on the last-position and the offset-vector, and steers the host-host-vehicle according to the correction-vector towards the centerline of the adjacent-lane.
Abstract:
A lane-change system suitable for use on an automated-vehicle includes a camera, a ranging-device, and a controller. The camera is used to detect an image of a lane-marking on a roadway traveled by a host-vehicle. The ranging-device is used to determine a distance and a direction from the host-vehicle to an other-vehicle proximate to the host-vehicle. The controller is in communication with the camera and the ranging-device. The controller is configured to control a lane-change by the host-vehicle in accordance with the image when the lane-marking is detected, and control the lane-change in accordance with the distance and the direction to the other-vehicle when the lane-marking is not detected.
Abstract:
A lane-keeping system suitable for use on an automated vehicle includes a camera, a ranging-sensor, and a controller. The camera is used to capture an image of a roadway traveled by a vehicle. The ranging-sensor is used to detect a reflected-signal reflected by an object proximate to the roadway. The controller is in communication with the camera and the ranging-sensor. The controller is configured to determine a lane-position for the vehicle based on a lane-marking of the roadway. The controller is also configured to determine an offset-distance of the object relative to the lane-position based on the reflected-signal. The controller is also configured to operate the vehicle in accordance with the lane-position when the lane-marking is detected, and operate in accordance with the offset-distance when the lane-marking is not present.
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.