Abstract: An adaptive vehicle control system that classifies a drivers driving style based on highway on/off ramp maneuvers. Once the maneuver has been determined to be an on-ramp maneuver or an off-ramp maneuver, a style characterization processor can classify the maneuver using selected discriminant features obtained or derived from the maneuver.

Abstract: An adaptive vehicle control system that classifies a drivers driving style based on vehicle launching maneuvers. A process determines whether the vehicle speed signal during a predetermined time window is greater than a speed threshold, whether the vehicle speed signal before the time window is less than the speed threshold and whether the average of the vehicle longitudinal acceleration during the time window is greater than a first longitudinal acceleration threshold and, if so, determines if the vehicle is in a vehicle launching maneuver. The process then determines that the vehicle launching maneuver has ended if the average of the vehicle longitudinal acceleration during a second time window is less than the longitudinal acceleration threshold. The style characterization processor can then classify the vehicle launching maneuver using selected discriminant features.

Abstract: A system that classifies driver driving skill based on on-ramp or off-ramp maneuvers. The system reads sensor signals for vehicle speed and vehicle yaw rate. The system determines that the vehicle has made an on-ramp or off-ramp maneuver using the vehicle speed signal and the yaw-rate signal and then classifies the driver's driving skill using selected discriminant features obtained or derived from the on-ramp or off-ramp maneuver.

Abstract: A method is provided for automatically locating a container in a stowage location of a container ship for loading and unloading of the container ship in container terminals. The method includes the following steps: obtaining the position information of the container ship from container ship positioning units, obtaining the position information of the container from container positioning units when the container is in its stowage location, and determining the stowage location of the container in the container ship by first computing a relative position of the container in the container ship based on both the position information of the container ship and the position information of the container and then correlating the relative position with a stowage plan of the container ship.

Abstract: An adaptive vehicle control system that classifies a driver's driving style based on vehicle passing maneuvers. A process determines whether the vehicle has started a lane change from a first lane to a second lane as a first phase of the passing maneuver. If so, the process determines whether the lane change to the second lane has been completed as a second phase of the passing maneuver. If the lane change to the second lane has been completed, the process determines whether there has been a lane change back to the first lane to complete the passing maneuver as a third phase of the passing maneuver. Further, the process determines whether a time threshold has been exceeded after the passing maneuver is in a second phase, but no lane change back to the first lane has occurred.

Abstract: An adaptive control VGR steering system that varies the steering gear ratio between a vehicle hand-wheel angle and the road wheel angle based on vehicle speed and one or more of hand-wheel angle, driver attentiveness and a driver's driving style and skill.

Abstract: A method automatically detects errors in a container inventory database associated with a container inventory tracking system of a container storage facility. A processor in the inventory tracking system performs a method that: obtains a first data record, identifies an event (e.g., pickup, drop-off, or movement) associated with the first record, provides a list of error types based on the identified event, and determines whether a data error has occurred through a checking process. In each of the checking steps, the processor selects an error type from the list of error types, determines a search criterion based on the selected error type and the first data record, queries the database using the search criterion, compares query results with the first data record to detect data conflicts between them, and upon the detection of the data conflicts, reports that a data error of the selected error type has been detected.

Abstract: A method automatically detects and corrects errors in a container inventory database associated with a container inventory tracking system of a container storage facility. A processor in the inventory tracking system performs a method to detect errors; this method of error detection obtains a first data record, identifies an event (e.g., pickup or drop-off of a container, or movement of handing equipment) associated with the first record, provides a list of error types based on the identified event, and determines whether a data error has occurred through a checking process. To correct the errors, this method further sets search criteria based on the error detection results, queries the inventory tracking database using the set criteria, determines error candidates based on the query results, evaluates the error candidates to identify a match or matches among the error candidates, and corrects the error(s) by modifying the error detection results together with the identified match or matches.

Abstract: A system is provided to associate containers with handling equipment (HE) in a container storage facility. In the system an operation detector, such as a twistlock sensor that indicates when a container is picked up or dropped off, is installed on a first HE which is a piece of container handling equipment (CHE) that can lift the container. An event detector, such as a vibration sensor or distance measuring radar, is further installed on a second HE that is a tractor with an attached chassis for receiving and transporting a container. The event detector indicates when a container-operation-related event, such as a container pick up or drop off, occurred on the tractor chassis. The two detectors (operation and event) are used by a processor to associate the container with either the CHE or the tractor. The operation and event detectors can further be used in conjunction with position sensors such as a GPS sensor to accurately determine the position of the tractor and the CHE in a container yard.

Abstract: A system and method for identifying a person as an authorized driver of a vehicle based on settings of the vehicle. The system includes a sensor for detecting a presence of a driver in the vehicle. The system also includes one or more control modules corresponding to the parameters of the vehicle. The parameters can be controlled by the control modules. The system also includes a driver ID controller coupled to the control modules and the sensor. The driver ID controller is configured to recognize the driver as an authorized driver based on inputs from the sensor and the control modules. The driver ID controller can also command the control units to adjust the parameters to predefined one or more attributes corresponding to the authorized driver.

Abstract: A method is provided for calibrating past position estimates from a positioning system that provides real-time position estimates of a mobile object. The method first stores the real-time position estimates, which as time goes by become past position estimates and naturally form a first past trajectory depicting the past movement of the mobile object. Subsequently, a calibrated past trajectory is determined, which includes calibrated past position estimates that correspond to the same time instances as the past positions in the first past trajectory. When real-time positions have low qualities, this method calibrates them at a later time by using (higher-quality) real-time positions both before and after them. Errors in the past positions are then corrected based on the calibrated past trajectory. When used with event detectors that indicate inventory transactions, this method can correct position errors associated with inventory events so as to improve the performance of inventory tracking.

Abstract: A system and method for estimating vehicle states, such as vehicle roll-rate, vehicle roll angle, vehicle lateral velocity and vehicle yaw-rate, for use in rollover reduction. The system includes an extended Kalman filter observer responsive to a steering angle signal, a yaw-rate signal, a roll-rate signal, a speed signal and a lateral acceleration signal that calculates an estimated yaw-rate signal, an estimated roll-rate, an estimated roll angle and an estimated lateral velocity. The system also includes a lateral velocity estimation processor responsive to the roll-rate signal, the estimated roll angle signal, the estimated lateral velocity signal and the lateral acceleration signal that calculates a modified lateral velocity estimation signal when the vehicle is operating in a non-linear region.

Abstract: An adaptive vehicle control system that classifies a driver's driving style based on vehicle U-turn maneuvers. A process determines if the vehicle has started a turn if the yaw rate is greater than a first yaw rate threshold, and determines a vehicle heading angle based on the yaw rate and a sampling time if the vehicle has started a turn. The process then determines whether the vehicle maneuver has been completed by determining if the yaw rate is less than a second yaw rate threshold. The process then determines that the completed maneuver was a U-turn maneuver if the yaw rate is less than a third yaw rate threshold during the maneuver, the final vehicle heading angle is within a heading angle range and the duration of the maneuver is less than a predetermined time threshold. In one non-limiting embodiment, the heading angle range is between 165° and 195°.

Abstract: A system that classifies driver driving skill based on left/right turning maneuvers. The system reads sensor signals for vehicle speed and vehicle yaw rate. The system determining that the vehicle has made a left/right-turn maneuver using the vehicle speed signal and the yaw-rate signal and then classifies the driver's driving skill using selected discriminant features obtained or derived from the left/right-turn maneuver.

Abstract: A system that classifies driver driving skill based on on-ramp or off-ramp maneuvers. The system reads sensor signals for vehicle speed and vehicle yaw rate. The system determines that the vehicle has made an on-ramp or off-ramp maneuver using the vehicle speed signal and the yaw-rate signal and then classifies the driver's driving skill using selected discriminant features obtained or derived from the on-ramp or off-ramp maneuver.

Abstract: A system that classifies driver driving skill based on U-turn maneuvers. The system reads sensor signals for vehicle speed and vehicle yaw rate. The system determining that the vehicle has made a U-turn maneuver using the vehicle speed signal and the yaw-rate signal and then classifies the driver's driving skill using selected discriminant features obtained or derived from the U-turn maneuver.

Abstract: A method for determining a driver's driving skill of a vehicle using transmission shift information. The method includes providing an ideal transmission shift map based on throttle position and vehicle speed. The method also includes monitoring an actual transmission shift point performed by the driver and comparing an actual transmission shift point to the transmission shift map to identify a shift-error distance on the map. The method also includes comparing the shift-error distance to a predetermined threshold and classifying the driver's driving skill based on the comparison of the shift-error distance to the threshold.

Abstract: A system and method that classify driver driving skill based on multiple types of maneuvers. An original features generation processor receives signals identifying driving characteristics of the driver of the vehicle and outputs original features from the signals. A features extraction processor extracts certain features from the original features and outputs transformed features. A features selection processor selects certain ones of the transformed features and outputs final features and a classifier classifies the final features to determine the skill level of the vehicle driver.

Abstract: A system and method that classifies driver driving skill based on backup maneuvers. The system determines a vehicle speed signal and a vehicle backup gear position. The system determines that the vehicle has made a backup maneuver using the vehicle speed signal and the backup gear position and then classifies the driver's driving skill using selected discriminant features obtained or derived from the backup maneuver.

Abstract: A system and method that classifies a driver's driving skill based on curve-handling maneuvers. The curve-handling maneuvers can be identified based on the drivers steering activity, vehicle yaw motion and a change in the vehicle heading direction.