Patent classifications
G05D1/226
METHOD FOR AUTOMATICALLY CONTROLLING A VEHICLE
A method for automatically controlling a vehicle based on a driving specification received from an external infrastructure. In a normal mode the vehicle is controlled along a trajectory specified thereby and in a test mode the vehicle is controlled along a test trajectory that deviates from the trajectory specified by the driving specification, and/or is controlled using test parameters. This allows the reliable operation of the infrastructure to be verified.
COMPUTER PROGRAM, APPARATUS, AND METHOD FOR A REMOTE CONTROL CENTER AND FOR OPERATING A VEHICLE FROM REMOTE
Technologies and techniques for a remote control center and for operating a vehicle from remote. Information is obtained on a pQoS of a communication link between the remote control center and the vehicle. At least one driving command is then provided to the vehicle via the communication link and a range of the at least one driving command is adapted, based on the information on the pQoS.
COMPUTER PROGRAM, APPARATUS, AND METHOD FOR A REMOTE CONTROL CENTER AND FOR OPERATING A VEHICLE FROM REMOTE
Technologies and techniques for a remote control center and for operating a vehicle from remote. Information is obtained on a pQoS of a communication link between the remote control center and the vehicle. At least one driving command is then provided to the vehicle via the communication link and a range of the at least one driving command is adapted, based on the information on the pQoS.
SHIP MONITORING SYSTEM, CONTROL METHOD FOR SHIP MONITORING SYSTEM, AND RECORDING MEDIUM STORING CONTROL PROGRAM FOR SHIP MONITORING SYSTEM
A ship monitoring system includes: a shipboard information processing apparatus and including a shipboard communication unit and an information acquisition unit; and a support information processing apparatus and including: a support side communication unit capable of communicating with the shipboard communication unit; a time lag identification unit; and a state prediction unit. The time lag identification unit identifies a time from transmission of the ship motion information from the shipboard communication unit to reception of the ship motion information by the support side communication unit as a reception time lag. The state prediction unit inputs the ship motion information and the reception time lag to a ship motion model related to the ship motion of the ship to predict a motion state of the ship ahead of a motion state of the ship indicated by the ship motion information by a period of time based on the reception time lag.
CONTROL SYSTEM AND METHOD
A control system is configured to: transmit a verification request signal to a remote device; listen for a verification request reply signal transmitted from the remote device in response to the verification request signal being transmitted; listen for a remote device state signal transmitted from the remote device providing remote device state information indicating in which predefined state the remote device is currently operating, the operation information based on the remote device state information; determine whether information comprised by the verification request reply signal includes expected operation result information being operation result information corresponding to an expected result of the operation defined by the operation information; and control, or provide input to the system to control, motion of the vehicle in response to the motion control signal received from the remote device based on a correspondence between the received operation result information and the expected operation result information.
CONTROL SYSTEM AND METHOD
A control system is configured to: transmit a verification request signal to a remote device; listen for a verification request reply signal transmitted from the remote device in response to the verification request signal being transmitted; listen for a remote device state signal transmitted from the remote device providing remote device state information indicating in which predefined state the remote device is currently operating, the operation information based on the remote device state information; determine whether information comprised by the verification request reply signal includes expected operation result information being operation result information corresponding to an expected result of the operation defined by the operation information; and control, or provide input to the system to control, motion of the vehicle in response to the motion control signal received from the remote device based on a correspondence between the received operation result information and the expected operation result information.
HYBRID NEURAL NETWORK FOR DETERMINING AT LEAST ONE PARAMETER OF A CHARGING PLAN FOR A VEHICLE
A method of executing a charging plan for at least one vehicle in a transportation system includes: receiving, at a charging infrastructure control system, operational state and energy consumption information for a plurality of network-enabled vehicles; predicting a geolocation of one or more vehicles of the plurality of network-enabled vehicles in a geographic region; allocating the one or more vehicles of the plurality of network-enabled vehicles to charging infrastructure in the geographic region; and optimizing, at an artificial intelligence system, a parameter of the charging plan based on the prediction of the geolocation of the one or more vehicles in the geographic region.
HYBRID NEURAL NETWORK FOR DETERMINING AT LEAST ONE PARAMETER OF A CHARGING PLAN FOR A VEHICLE
A method of executing a charging plan for at least one vehicle in a transportation system includes: receiving, at a charging infrastructure control system, operational state and energy consumption information for a plurality of network-enabled vehicles; predicting a geolocation of one or more vehicles of the plurality of network-enabled vehicles in a geographic region; allocating the one or more vehicles of the plurality of network-enabled vehicles to charging infrastructure in the geographic region; and optimizing, at an artificial intelligence system, a parameter of the charging plan based on the prediction of the geolocation of the one or more vehicles in the geographic region.
SYSTEMS, METHODS, AND APPARATUSES FOR SECURELY AUTHENTICATING DEVICE USAGE AND ACCESS
Provided herein are embodiments of systems, methods, apparatuses, computer program products, and techniques associated with authenticating usage of, and access to, various target devices. In some embodiments, these systems, methods, apparatuses, computer program products, and techniques may be configured to facilitate compliance with predetermined requirements or restrictions, for example age restrictions, associated with the use or sale of certain devices and products.
TRANSPORTATION SYSTEM TO OPTIMIZE AN OPERATING PARAMETER OF A VEHICLE BASED ON AN EMOTIONAL STATE OF AN OCCUPANT OF THE VEHICLE DETERMINED FROM A SENSOR TO DETECT A PHYSIOLOGICAL CONDITION OF THE OCCUPANT
A transportation system to optimize an operating parameter of a vehicle based on a physiological state of an occupant of the vehicle. The transportation system includes a sensor to sense a physiological condition of the occupant and to output data based on the sensed physiological condition. The sensor includes a movement sensor to detect physical actions of the vehicle occupant. The transportation system further includes a real-time control system to receive and process the data to determine an emotional state of the occupant based on the detected physical actions and to optimize, for achieving a favorable emotional state of the occupant, at least one operating parameter of the vehicle in response to the detected emotional state of the occupant.