Automatic private public transport system, comprising a plurality of vehicles, operating by optoguidance along a colored strip, each vehicle incorporating an inertial unit, capable of managing all the parameters associated with the movements of a vehicle, namely: a starting point, the direction, accelerations, durations, as well as all the successive variations of these different parameters, the processing of the aforementioned data enables the on-board computer to calculate and define the vehicle's route and to store it, the said route data reproducing a succession of points on the said route, i.e. a virtual computer image of the colored strip of the route travelled. In this way, the on-board computer uses the virtual computer strip to continue its journey if the colored strip is no longer visible.

A mobile object is configured to transmit, in response to a gesture of a traffic participant existing in the vicinity of the mobile object being a stop request, an inquiry signal including position information of the traffic participant to a server in order to confirm whether the mobile object provides a specific service to which the traffic participant who has performed the gesture is subscribed. The server is configured to determine, in response to receiving the inquiry signal, whether the traffic participant who made the gesture is one of users subscribed to the specific service and transmit an answer signal including a result of the determination to the mobile object. The mobile object is further configured to perform, in response to receiving the answer signal, an action according to a result of the determination included in the answer signal.

Aspects of the disclosure provide for managing a fleet of autonomous vehicles of a transportation service. For instance, a plurality of inputs including a current demand for services, predictions about future demand for services, and current status of the fleet may be identified. The current status may include information identifying one of a plurality of predefined states for each autonomous vehicle of the fleet. A schedule may be determined based on the plurality of inputs. The schedule may define a number of autonomous vehicles that should be in each of the plurality of expected future states. The schedule may be used to determine an assignment for each of the autonomous vehicles to one of the plurality of predefined states.

A control device for a mobile object includes: a road type recognition unit configured to recognize whether a region of interest is a roadway or a sidewalk based on a bicycle mark used for guiding a passage of a bicycle and detected by a detection device that detects an external situation of a mobile object that is able to move in both the roadway and the sidewalk; and a control unit configured to control the mobile object based on a result of the recognition of the road type recognition unit.

A mobile object control device for controlling a mobile object capable of moving both on a roadway and in a predetermined region different from the roadway includes a road type recognition unit configured to set a virtual central lane including an assumed course of the mobile object, a virtual right lane located on a right side of the virtual central lane as seen from the mobile object, and a virtual left lane located on a left side of the virtual central lane as seen from the mobile object in an image captured by an external camera configured to perform an imaging process in a movement direction of the mobile object and recognize whether the mobile object is moving on the roadway or in the predetermined region on the basis of results of performing spatial classification processes for the virtual central lane, the virtual right lane, and the virtual left lane and a control unit configured to limit a speed of a case where the mobile object moves on the roadway to a first speed and limit a speed of a case where the mobile object moves in the predetermined region to a second speed lower than the first speed.

A mobile object control device for controlling a mobile object capable of moving both on a roadway and in a predetermined region different from the roadway includes a road type recognition unit configured to recognize whether the mobile object is moving on the roadway or in the predetermined region on the basis of an output of an external environment detection device configured to detect an external situation of the mobile object and a control unit configured to limit a speed of a case where the mobile object moves on the roadway to a first speed and limit a speed of a case where the mobile object moves in the predetermined region to a second speed lower than the first speed. The control unit adjusts the first speed on the basis of a width of a course along which the mobile object moves.

An assistance system and method for assisting with the restart of at least one engine of an aircraft includes determining that at least one engine of the aircraft has flamed out and controlling an automated descent of the aircraft down to a predefined target altitude below which the altitude of the aircraft is conducive to at least one attempt to restart the at least one stopped engine.

A computer-implemented method of determining control actions for controlling a mobile robot comprises: receiving a set of scenario description parameters describing a scenario and a desired goal for the mobile robot therein; in a first constrained optimization stage, applying a first optimizer to determine a first series of control actions that substantially globally optimizes a preliminary cost function for the scenario, the preliminary cost function based on a first computed trajectory of the mobile robot, as computed by applying a preliminary robot dynamics model to the first series of control actions, and in a second constrained optimization stage, applying a second optimizer to determine a second series of control actions that substantially globally optimizes a full cost function for the scenario, the full cost function based on a second computed trajectory of the mobile robot, as computed by applying a full robot dynamics model to the second series of control actions; wherein initialization data of at least one of the first computed trajectory and the first series of control actions is used to initialize the second optimizer for determining the second series of control actions, and wherein the preliminary robot dynamic model approximates the full robot dynamics model, the cost functions embody similar objectives to each encourage achievement of the desired goal, and both are optimized with respect to similar hard constraints, such that the initialization data guides the second optimizer to the substantially globally-optimal second series of control actions.

The processor of the mobile object control system calculates the target speed of the mobile object on the basis of the first operation amount for each individual operation terminal, calculates the target turning angular speed of the mobile object on the basis of the second operation amount for each individual operation terminal, combines the target speed calculated for each individual operation terminal at the first ratio to calculate the final target speed, combines the target turning angular speed calculated for each individual operation terminal at a second ratio different from the first ratio to calculate the final target turning angular speed, and controls one or a plurality of actuators related to the traveling of the mobile object on the basis of the final target speed and the final target turning angular speed.

A system for automatically determining a mooring direction or a berth approach direction of a boat. The system including a control unit including a processor. The control unit is configured to obtain image information, the image information including information of an other boat that is moored; identify a mooring direction of the other boat based on the image information; determine the mooring direction or the berth approach direction of the boat based on the mooring direction of the other boat, wherein the control unit determines an automatic mooring route of the boat based on the mooring direction or the berth approach direction of the boat, and the control unit outputs a control signal for controlling an automatic mooring of the boat.