Abstract: Among other things, we describe systems and method for improving vehicle operations using movable sensors. A vehicle can be configured with one or more sensors having the capability to be extended and/or rotated. The one or more movable sensors can be caused to move based on a determined context of the vehicle, to capture additional data associated with the environment in which the vehicle is operating.

Abstract: A vehicle control system includes an object-detector, a location-detector, a configuration-map, and a controller-circuit. The object-detector is configured to detect objects proximate to a host-vehicle. The location-detector is configured to indicate a location of the host-vehicle. The configuration-map is configured to indicate a configuration of the object-detector for the location of the host-vehicle when the host-vehicle is operated in an automated-mode. The controller-circuit is in communication with the location-detector, the configuration-map, and the object-detector. The controller-circuit is configured to operate the object-detector in accordance with the configuration for the location of the host-vehicle when the host-vehicle is operated in an automated-mode, detect a human-override of the automated-mode at the location, and update the configuration-map for the location in accordance with objects detected and in response to the human-override of the automated-mode.

Abstract: Among other things, we describe systems and method for improving vehicle operations using movable sensors. A vehicle can be configured with one or more sensors having the capability to be extended and/or rotated. The one or more movable sensors can be caused to move based on a determined context of the vehicle, to capture additional data associated with the environment in which the vehicle is operating.

Abstract: A vehicle control system includes an object-detector, a location-detector, a configuration-map, and a controller-circuit. The object-detector is configured to detect objects proximate to a host-vehicle. The location-detector is configured to indicate a location of the host-vehicle. The configuration-map is configured to indicate a configuration of the object-detector for the location of the host-vehicle when the host-vehicle is operated in an automated-mode. The controller-circuit is in communication with the location-detector, the configuration-map, and the object-detector. The controller-circuit is configured to operate the object-detector in accordance with the configuration for the location of the host-vehicle when the host-vehicle is operated in an automated-mode, detect a human-override of the automated-mode at the location, and update the configuration-map for the location in accordance with objects detected and in response to the human-override of the automated-mode.

Abstract: A vehicle communication system for cloud-hosting sensor-data from a plurality of vehicles where each of the vehicles is equipped with one or more sensors used to detect objects proximate to each of the vehicles includes a transceiver and a controller. The transceiver is used to communicate sensor-data from a first-sensor on a first-vehicle and from a second-sensor on a second-vehicle. The controller is configured to receive, via the transceiver, first-data from the first-sensor and second-data from the second-sensor, and determine when the first-data and the second-data are both indicative of an object proximate to the first-vehicle and the second-vehicle, where the first-data is characterized by a first-confidence and the second-data is characterized by a second-confidence. The controller is configured to prevent communication of the second-data to the first-vehicle when the first-confidence is greater than the second-confidence.

Abstract: A navigation system for an automated vehicle includes a receiver, a three-dimensional-model (3D-model), and a controller. The receiver detects signals from satellites for determining a location of a host-vehicle on a digital-map. The 3D-model depicts objects in an area proximate the host-vehicle. The controller is in communication with the receiver and the 3D-model. The controller ignores a signal of a satellite detected by the receiver when the satellite is determined to be hidden by an object in the 3D-model.

Abstract: A humanized steering system for an automated vehicle includes one or more steering-wheels operable to steer a vehicle, an angle-sensor configured to determine a steering-angle of the steering-wheels, a hand-wheel used by an operator of the vehicle to influence the steering-angle and thereby manually steer the vehicle, a steering-actuator operable to influence the steering-angle thereby steer the vehicle when the operator does not manually steer the vehicle, a position-sensor operable to indicate a relative-position an object proximate to the vehicle, and a controller. The controller is configured to receive the steering-angle and the relative-position, determine, using deep-learning techniques, a steering-model based on the steering-angle and the relative-position, and operate the steering-actuator when the operator does not manually steer the vehicle to steer the vehicle in accordance with the steering-model, whereby the vehicle is steered in a manner similar to how the operator manually steers the vehicle.

Abstract: A vehicle communication system for cloud-hosting sensor-data from a plurality of vehicles where each of the vehicles is equipped with one or more sensors used to detect objects proximate to each of the vehicles includes a transceiver and a controller. The transceiver is used to communicate sensor-data from a first-sensor on a first-vehicle and from a second-sensor on a second-vehicle. The controller is configured to receive, via the transceiver, first-data from the first-sensor and second-data from the second-sensor, and determine when the first-data and the second-data are both indicative of an object proximate to the first-vehicle and the second-vehicle, where the first-data is characterized by a first-confidence and the second-data is characterized by a second-confidence. The controller is configured to prevent communication of the second-data to the first-vehicle when the first-confidence is greater than the second-confidence.

Abstract: An emergency communication system for automated-vehicles includes a transceiver and a controller. The transceiver is used to communicate messages from and to an automated-vehicle that is classified as a non-emergency-vehicle. The controller is in communication with the transceiver. The controller is configured to receive a request for an emergency-certification from the automated-vehicle via the transceiver, determine when a circumstance exists that justifies the request, and grant the request when the circumstance exists. When the request is granted, the automated-vehicle is authorized to operate in a manner comparable to an emergency-vehicle.

Abstract: A redundant-controls system suitable for use an automated vehicle includes a primary-control-device, a secondary-control-device, an occupant-detection-device, and a controller. The primary-control-device is installed in a vehicle. The primary-control-device is selectively enabled to allow operation from an operator-seat of the vehicle by an operator of the vehicle to control movement of the vehicle. The secondary-control-device is installed in the vehicle. The secondary-control-device is selectively enabled to allow operation from a passenger-seat of the vehicle by a passenger of the vehicle to control movement of the vehicle. The occupant-detection-device is used to determine an operator-state-of-awareness of the operator and a passenger-state-of-awareness of the passenger. The controller is in communication with the primary-control-device, the secondary-control-device, and the operator-detection-device.

Abstract: A redundant-controls system suitable for use an automated vehicle includes a primary-control-device, a secondary-control-device, an occupant-detection-device, and a controller. The primary-control-device is installed in a vehicle. The primary-control-device is selectively enabled to allow operation from an operator-seat of the vehicle by an operator of the vehicle to control movement of the vehicle. The secondary-control-device is installed in the vehicle. The secondary-control-device is selectively enabled to allow operation from a passenger-seat of the vehicle by a passenger of the vehicle to control movement of the vehicle. The occupant-detection-device is used to determine an operator-state-of-awareness of the operator and a passenger-state-of-awareness of the passenger. The controller is in communication with the primary-control-device, the secondary-control-device, and the operator-detection-device.

Abstract: A skill-scoring system suitable for use on an automated vehicle includes an accelerometer and a controller. The accelerometer is used to determine an acceleration-value experienced by an operator of a host-vehicle while the operator operates the host-vehicle in a manual-mode along a travel-path. The controller is in communication with the accelerometer. The controller is configured to determine a skill-score based on a comparison of the acceleration-value to an expected-acceleration that the operator would experience when the host-vehicle is operated in an automated-mode along the travel-path.

Abstract: A skill-scoring system suitable for use on an automated vehicle includes an accelerometer and a controller. The accelerometer is used to determine an acceleration-value experienced by an operator of a host-vehicle while the operator operates the host-vehicle in a manual-mode along a travel-path. The controller is in communication with the accelerometer. The controller is configured to determine a skill-score based on a comparison of the acceleration-value to an expected-acceleration that the operator would experience when the host-vehicle is operated in an automated-mode along the travel-path.

Abstract: A humanized steering system for an automated vehicle includes one or more steering-wheels operable to steer a vehicle, an angle-sensor configured to determine a steering-angle of the steering-wheels, a hand-wheel used by an operator of the vehicle to influence the steering-angle and thereby manually steer the vehicle, a steering-actuator operable to influence the steering-angle thereby steer the vehicle when the operator does not manually steer the vehicle, a position-sensor operable to indicate a relative-position an object proximate to the vehicle, and a controller. The controller is configured to receive the steering-angle and the relative-position, determine, using deep-learning techniques, a steering-model based on the steering-angle and the relative-position, and operate the steering-actuator when the operator does not manually steer the vehicle to steer the vehicle in accordance with the steering-model, whereby the vehicle is steered in a manner similar to how the operator manually steers the vehicle.

Abstract: A system to determine a vehicle-location of an automated vehicle includes a light-source, a sensor, and a controller. The light-source is located at a light-location that is observable from a roadway. The light emitted by the light-source is modulated to broadcast the light-location of the light-source. The sensor is mounted on a vehicle. The sensor is operable to detect the light in order to receive the light-location and determine a direction of the light relative to the vehicle and/or the roadway. The controller is configured to determine a vehicle-location of the vehicle based on the direction and the light-location.

Abstract: A system for automated operation of a host-vehicle includes a lane-splitting-motorcycle detector and a controller. The lane-splitting-motorcycle detector is configured to determine when a motorcycle proximate to a host-vehicle is traveling proximate to a lane-boundary adjacent the host-vehicle. The controller is configured to, during automated operation, steer the host-vehicle away from the lane-boundary to a biased-position selected to provide clearance for the motorcycle to pass the host-vehicle while the motorcycle is lane-splitting.

Abstract: A system for automated operation of a vehicle includes a controller and a regulated-lane-detector. The controller is operable to determine a vehicle-status that indicates if the vehicle complies with regulations to legally travel in a regulated-lane of a roadway. The regulated-lane-detector is in communication with the controller and operable to determine when a regulated-lane is present on a roadway. The system selects a travel-lane for the vehicle to travel upon based on the vehicle-status.