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 sensor, a data-source, and a controller. The sensor is installed in a host-vehicle. The sensor is operable to determine a state-of-awareness of an operator of the host-vehicle. The data-source provides route-data used for automated operation of the host-vehicle. The route-data includes a map and a control-rule for navigating the map. The controller is in communication with the sensor and the data-source. The controller is configured to operate the host-vehicle during automated operation of the host-vehicle in accordance with the route-data. The controller is also configured to modify the control-rule based on the state-of-awareness of the operator.
Abstract:
A system for automated operation of a host-vehicle includes a sensor and a controller. The sensor is configured to detect an other-vehicle proximate to a host-vehicle. The controller is in communication with the sensor. The controller is configured to determine a behavior-classification of the other-vehicle based on lane-keeping-behavior of the other-vehicle relative to a roadway traveled by the other-vehicle, and select a travel-path for the host-vehicle based on the behavior-classification. In one embodiment, the behavior-classification of the other-vehicle is based on a position-variation-value indicative of how much an actual-lane-position of the other-vehicle varies from a center-lane-position of the roadway. In yet another embodiment, the behavior-classification of the other-vehicle is based on a vector-difference-value indicative of how much a vehicle-vector of the other-vehicle differs from a lane-vector of the roadway.
Abstract:
A navigation system suitable for use by an automated vehicle includes a first sensor, a second sensor, a digital-map, and a controller. The digital-map includes a first data-group of navigation-features preferentially detected by the first sensor-technology, and a second data-group of navigation-features preferentially detected by the second sensor-technology. The controller determines, on the digital-map, first and second locations of the host-vehicle using the first and second sensors, respectively. The controller selects one of the first and second locations to navigate the host-vehicle based on a comparison of the first data-density and the second data-density. Alternatively, the controller determines a first feature-density and a second feature-density of navigation-features detected by the first and second sensors respectively, and selects one of the first location and the second location to navigate the host-vehicle based on a comparison of the first feature-density and the second feature-density.
Abstract:
A cognitive-driver-assist system includes an object-detection device, an operator-detection device, a control-override device, and a controller. The object-detection device is operable to detect when an object is proximate to a host-vehicle. The operator-detection device is operable to determine when an operator of the host-vehicle is aware of the object. The control-override device is operable to limit operator-authority of the operator while the operator is driving the host-vehicle. The controller is configured to operate the control-override device in accordance with the operator-authority to override the operator and avoid interference with the object when the operator is not aware of the object.
Abstract:
A system for updating route-data shared by vehicles for automated operation of the vehicles includes a shared-memory, a sensor, and a communication-network. The shared-memory stores route-data used by a plurality of vehicles for automated operation of the vehicles in accordance with a control-rule included in the route-data. The sensor is installed in a first-vehicle of the vehicles. The sensor is used to determine an observed-parameter so the system can detect when the observed-parameter violates a parameter-limit during automated operation of the first-vehicle in accordance with the control-rule. The communication-network is configured to enable the first-vehicle to update the route-data when the observed-parameter violates the parameter-limit. Then other vehicles can access the shared-memory so the other vehicles can negotiate a roadway using the most up-to-date information about the roadway.
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 host-vehicle includes an object-sensor, a global-positioning-system (GPS) receiver, and a controller. The object-sensor is used to determine a first-polynomial indicative of a preferred-steering-path based on an object detected proximate to a host-vehicle. The GPS-receiver is used to determine a second-polynomial indicative of an alternative-steering-path based on a GPS-map. The controller is configured to steer the host-vehicle in accordance with the first-polynomial when the object is detected, and steer the host-vehicle in accordance with the second-polynomial when the object is not detected. The improvement allows the system to make use of a less expensive/less accurate version of the GPS-receiver, and a less complicated GPS-map than would be anticipated as necessary for automated steering of the host-vehicle using only the GPS-receiver and the GPS-map.
Abstract:
A pedestrian-intent-detection system for automated operation of a host-vehicle (e.g. automated vehicle) includes an object-detection device and a controller. The object-detection device is operable to detect an object proximate to a host-vehicle. The controller is in communication with the object-detection device. The controller is configured to determine when the object detected by the object-detection device is a pedestrian based on a detection-characteristic of the pedestrian indicated by the object-detection device. The controller is further configured to define a size of a caution-area located proximate to the pedestrian based on a behavior-characteristic (e.g. intent) of the pedestrian indicated by the object-detection device. The controller is further configured to operate (e.g. brake, steer) the host-vehicle in order to avoid the caution-area.
Abstract:
A system for changing a control-mode of an automated vehicle from automated-control to manual-control includes an operator-detection device and a controller. The operator-detection device is operable to detect a readiness-state of an operator of a vehicle while a control-mode of the vehicle is automated-control. The controller is configured to forecast a future-time when the control-mode of the vehicle should change from automated-control to manual-control and determine a take-over-interval for an operator to assume manual-control of the vehicle once notified. The take-over-interval is determined based on the readiness-state. The controller is also configured to notify the operator that the control-mode of the vehicle should change from automated-control to manual-control no later than the take-over-interval prior to the future-time.