To predict a likelihood of an error by a user when traversing a route and take preemptive action, a computing device receives a request by a user for navigation directions from a starting location to a destination location via a route. The computing devices provides the set of navigation directions to the user, which includes navigation instructions each including a maneuver and a location on the route for the maneuver. For an upcoming maneuver on the route, the computing device determines a likelihood that the user will incorrectly perform the maneuver. In response to determining that the likelihood is above a threshold likelihood and prior to the user arriving at the location for the maneuver, the computing device generates an alternative set of navigation directions for navigating from a location off the route to the destination location via an alternative route.

A control device that controls a straddle type vehicle, comprising: a route information acquisition unit configured to acquire information on a planned travel route of the straddle type vehicle; a weather information acquisition unit configured to acquire weather information corresponding to the planned travel route; a determination unit configured to determine whether or not the planned travel route of the straddle type vehicle is affected by the weather based on the weather information; and a control unit configured to propose information on a refuge location for taking refuge from an influence of the weather when it is determined that the planned travel route is affected by the weather, wherein the control unit proposes a refuge location farther away from an affected area as information on the refuge location, based on the affected area affected by the weather.

Techniques are provided for determining and updating locations in databases for providing to transport user devices to facilitate picking up (retrieving) an item and delivery. Location points (e.g., for retrieval or delivery) can be measured by transporter devices when an item is retrieved, and a central value can be determined from the measured location points. The central value can be used to update a pin location in a database for a destination, e.g., when more paths by the transport user devices cross a boundary (geofence) around then central value than a boundary around an existing pin location.

In some implementations, a system may identify, using a machine learning model, a pattern of events based on account information associated with a user. The system may generate a prediction of a time period during which a predicted event, associated with the pattern of events, is predicted to occur. The system may receive an indication that a vehicle, associated with the user, is to travel a route from a starting location to an ending location during the time period. The system may identify a physical location associated with the predicted event based on a location associated with the vehicle or based on the route. The system may generate a new route that includes the starting location, the physical location as a waypoint along the new route, and the ending location. The system may transmit information that identifies the new route to a device associated with the vehicle.

A method for a data processing installation for obtaining an operating state of a first autonomous vehicle. The method includes determining a current state of the first autonomous vehicle from a received measurement value of a sensor of a second vehicle. When the current state of the first autonomous vehicle deviates from a setpoint state, the method includes sending a first message to the first autonomous vehicle, wherein the first message contains a command to travel autonomously to a service location. Alternatively, the method includes sending a second message to a person responsible for the first autonomous vehicle, wherein the second message includes information about the deviation of the current state of the first autonomous vehicle from the setpoint state. Alternatively, the method includes sending a third message to service personnel, wherein the third message contains an instruction for the service personnel to set the vehicle to the setpoint state.

A method of restoring navigational performance for a navigational system, the method comprising receiving by a first navigational system and a second navigational system a collection of data points to establish a real-time navigational route for the aircraft, comparing navigational performance values and/or drift ranges and establishing a new navigational route based on the collection of data points.

Systems, methods, computer-readable media, and apparatuses for providing hazard detection and broadcast functions are provided. In some examples, sensor data may be captured by a mobile device, vehicle, or the like. The data may be used to detect a hazard, identify a type of hazard, and the like. One or more users or groups of users for notification of the hazard may be identified and one or more notifications may be transmitted to users within the group.

A system for determining safety of a road segment may include at least one processor programmed to receive, from a first vehicle, first navigation information associated with the road segment. The first navigation information may include information collected by a first sensor of the first vehicle from an environment of the first vehicle. The at least one processor may also be programmed to receive, from a second vehicle, second navigation information associated with the road segment. The second navigation information may include information collected by a second sensor of the second vehicle from an environment of the second vehicle. The at least one processor may further be programmed to determine, based on the first navigation information and the second navigation information, a score representative of the safety of the road segment, and transmit, to a third vehicle, the score representative of the safety of the road segment.

A device and a method for performing control to change a flexible virtual bumper for maintaining a space between a mobile object and an obstacle to be equal to or larger than a predetermined distance are enabled. A data processing unit that executes control to change the flexible virtual bumper for maintaining the space between the mobile object and the obstacle to be equal to or larger than the predetermined distance, and a drive unit that drives the mobile object in such a way that no obstacle enters the flexible virtual bumper are included. The data processing unit executes control to change the flexible virtual bumper at least either in size or shape. For each one of a plurality of travel route candidates for the mobile object, the data processing unit executes a simulation of changing the bumper size in such a way that no obstacle enters the flexible virtual bumper, and selects a safe travel route.

A system and method for routing a fleet of vehicles, the vehicles being based across a plurality of depots. The system and method can determine an optimal route by decomposing the optimisation problem into a plurality of sub-problems, optimising each of the sub-problems and then re-combining the optimised sub-problems to obtain a solution to the routing problem. The solution leads to a more efficient routing of the vehicle fleet, and improves accuracy, efficiency, and functionality of the multi-depot vehicle network system.