An automatic traveling vehicle includes a vehicle structure including a first top plate, and an electronic control unit. The electronic control unit is configured to execute a storage mode when a storage execution condition is satisfied. The storage mode includes a storage posture formation process of causing the vehicle to automatically travel so as to take a predetermined storage posture together with a counterpart automatic traveling vehicle. In the storage posture, the vehicle is in a superposition state in which the vehicle overlaps with the counterpart vehicle in a plan view, or a parallel state in which the vehicle is lined up with the counterpart vehicle while the first top plate and a second top plate of the counterpart vehicle are standing and facing each other so as to be parallel to or substantially parallel to a vertical direction.

Systems and methods for controlling operation of an off-highway vehicle are provided. A control method includes receiving an input command that includes at least one of a manual input command and an automatic input command, determining if an operator attention level is at a first attention level, a second attention level, or a third attention level, generating at least one output parameter based on the determined operator attention level and the input command, generating an output command based on the at least one output parameter, and outputting the output command to the first work function to control operation of the first work function based on the output command.

Real-time decision-making for a vehicle using belief state determination is described. Operational environment data is received while the vehicle is traversing a vehicle transportation network, where the data includes data associated with an external object. An operational environment monitor establishes an observation that relates the object to a distinct vehicle operation scenario. A belief state model of the monitor computes a belief state for the observation directly from the operational environment data. The monitor provides the computed belief state to a decision component implementing a policy that maps a respective belief state for the object within the distinct vehicle operation scenario to a respective candidate vehicle control action. A candidate vehicle control action is received from the policy of the decision component, and a vehicle control action is selected for traversing the vehicle transportation from any available candidate vehicle control actions.

Disclosed are devices, systems and methods for using a rotating camera for vehicular operation. One example of a method for improving driving includes determining, by a processor in the vehicle, that a trigger has activated, orienting, based on the determining, a single rotating camera towards a direction of interest, and activating a recording functionality of the single rotating camera, where the vehicle comprises the single rotating camera and one or more fixed cameras, and where the single rotating camera provides a redundant functionality for, and consumes less power than, the one or more fixed cameras.

Automated drive system comprises a control device. The control device executes run control processing of the automated drive vehicle provided to a driverless transportation service. The run control processing includes carriage porch control processing. The carriage porch control processing is performed when a PUDO position of a user corresponds to a carriage porch of a facility including a zone for run and a zone for PUDO. In the carriage porch control processing, it is judged whether or not there is an empty space in the zone for PUDO. If it is judged that there is no empty space, it is judged whether or not a quick PUDO of the user in the carriage porch is expected. If it is judged that the quick PUDO is expected, a target PUDO position to perform a PUDO action of the automated drive vehicle is set to any position in the zone for run.

Embodiments herein relate to an autonomous vehicle or self-driving vehicle. The system can determine a collision avoidance path by: 1) predicting the behavior/trajectory of other moving objects (and identifying stationary objects); 2) given the driving trajectory (issued by autonomous driving system) or predicted driving trajectory (human), establishing the probability for a collision that can be calculated between the vehicle and one or more objects; and 3) finding a path to minimize the collision probability.

A system for a remotely controllable material handling vehicle switchable between a manual mode and a travel request mode is provided. The system can include a control handle configured to at least control a speed and direction of the material handling vehicle when the material handling vehicle is in the manual mode and a remote control device in communication with the material handling vehicle and configured to provide a request to the material handling vehicle to move forward. The system can also include a mode switch configured to switch the material handling vehicle from the manual mode to the travel request mode and an operator compartment sensor configured to trigger a flag when a weight on a floor of an operator compartment of the material handling vehicle is greater than or equal to a predetermined weight.

A driving assistance device is the driving assistance device used in a vehicle capable of switching between autonomous driving and driving that requires operation by the driver, and includes a different vehicle information acquisition unit that acquires autonomous driving information on different vehicles on a traveling road of the vehicle, an autonomous driving ratio acquisition unit that acquires a ratio of autonomous driving in the different vehicles from the autonomous driving information on the different vehicles acquired by the different vehicle information acquisition unit, and a notification control unit that provides information for supporting determination on switching between autonomous driving and driving that requires operation by a driver if the ratio of autonomous driving in the different vehicles is equal to or larger than a predetermined ratio.

A method for providing medical services to a patient, including: receiving a medical service request associated with a patient location; selecting an aircraft, located at an initial location, from a plurality of aircraft based on the patient location and the initial location; determining a flight plan for flying the aircraft to a region containing the patient location; at a sensor of the aircraft, sampling a first set of flight data; at a processor of the aircraft, autonomously controlling the aircraft to fly based on the flight plan and the set of flight data; selecting a landing location within the region; and landing the aircraft at the landing location, including: sampling a set of landing location data; determining a safety status of the landing location based on the set of landing location data; outputting a landing warning observable at the landing location; at the sensor, sampling a second set of flight data; and in response to determining the safety status and outputting the landing warning, autonomously controlling the aircraft to land at the landing location based on the second set of flight data.

The present invention discloses a collaborative design method using an event-triggered scheme (ETS) and a Takagi-Sugeno (T-S) fuzzy H.sub. controller in a network environment. For the problem about the unmanned surface vehicle control based on a switching T-S fuzzy system under an aperiodic DoS attack, the present invention provides an H controller design method based on the event-triggered scheme. The characteristics of the unmanned surface vehicle system under the DoS attack are analyzed, and external disturbance in the navigation process is added into an unmanned surface vehicle motion model to establish an unmanned surface vehicle switching system model. The stability of the system is analyzed by piecewise Lyapunov functionals, such that controller gain and event-triggered scheme weight matrix parameters are obtained, thus ensuring that a networked unmanned surface vehicle navigation system has the ability to resist the DoS attack and the external disturbance.