Systems and corresponding methods are provided for moving object predictive locating, reporting, and alerting. This method includes receiving moving object data corresponding to a moving object; receiving sensor data from a sensor and merging the received moving object data and the received sensor data into a set of merged data. The example method further includes based on the set of merged data, automatically determining one or more of a predicted location or range of locations for the moving object, a potential path of travel for the moving object, an alert concerning the moving object, and providing the alert. The automatically determining may be further based on one or more historical traits concerning the object, and the geographic medium the object is moving through. The geographic medium may include one or more of terrain, air, water, and space. The object may be a soldier, vehicle, drone, or ballistic.

A method for preventing a collision between a first object and a second object using a camera. The method includes capturing images of the first object and the second object using the camera, accessing a database of point clouds, and identify a first point cloud corresponding to the first object and a second point cloud corresponding to the second object within the database of point clouds, where the first point cloud corresponds to the first object being a person. The method further includes calculating a distance between the first object and the second object and comparing the distance to a threshold. The method further includes generating a notification when the distance is below the threshold.

A method for preventing a collision between a first object and a second object using a camera. The method includes capturing images of the first object and the second object using the camera, accessing a database of point clouds, and identify a first point cloud corresponding to the first object and a second point cloud corresponding to the second object within the database of point clouds, where the first point cloud corresponds to the first object being a person. The method further includes calculating a distance between the first object and the second object and comparing the distance to a threshold. The method further includes generating a notification when the distance is below the threshold.

Systems and methods for responding to latency in connected vehicles. Vehicles operating on or near the edge of networks are identified. Vehicle dependent nodes are identified. Latency is calculated between the vehicle and the dependent nodes. The latency is compared to one or more threshold values and a response is determined and/or executed.

According to various aspects, a method of generating a collision free path of travel may include defining a global search area encompassing at least a global start position and a global target position; and determining a set of collision free trajectories by iteration, the set of collision free trajectories connecting the global start position to the global target position via one or more local target positions, each iteration including: determining a local search area within the global search area; determining, from the global obstacle map, a local obstacle map associated with the local search area; defining a local start position and one or more local target positions within the local search area; and calculating, in the local search area, a collision free trajectory from the local start position to the one or more local target positions considering the local obstacle map.

According to various aspects, a method of generating a collision free path of travel may include defining a global search area encompassing at least a global start position and a global target position; and determining a set of collision free trajectories by iteration, the set of collision free trajectories connecting the global start position to the global target position via one or more local target positions, each iteration including: determining a local search area within the global search area; determining, from the global obstacle map, a local obstacle map associated with the local search area; defining a local start position and one or more local target positions within the local search area; and calculating, in the local search area, a collision free trajectory from the local start position to the one or more local target positions considering the local obstacle map.

A system for transporting containers using heavy goods vehicles having a separate operating region in which the heavy goods vehicles can be operated includes at least one first lane for at least one external heavy goods vehicle, and at least one second lane for at least one internal heavy goods vehicle are reserved in the separate operating region. The heavy goods vehicles can be operated together in a mixed traffic situation, and the first and second lanes are each guided through a transition region of a handling unit of a storage region and each arranged laterally in relation tothe storage region.

A system for transporting containers using heavy goods vehicles having a separate operating region in which the heavy goods vehicles can be operated includes at least one first lane for at least one external heavy goods vehicle, and at least one second lane for at least one internal heavy goods vehicle are reserved in the separate operating region. The heavy goods vehicles can be operated together in a mixed traffic situation, and the first and second lanes are each guided through a transition region of a handling unit of a storage region and each arranged laterally in relation tothe storage region.

Disclosed is a method for predicting collisions and conflicts between multiple moving bodies. A method for predicting and avoiding collisions and conflicts between multiple moving bodies comprises the steps of: creating objects by modeling the shape of each of multiple moving bodies; creating two-dimensional circles by modeling the objects by using size information of the objects; modeling the two-dimensional circles into moving disks by using at least one of the moving speeds of the moving bodies, the monitoring time window for the moving bodies, and the size information of the two-dimensional circles; computing a Voronoi diagram between the moving disks and calculating edges of the Voronoi diagram; and during the monitoring time window for the moving bodies, calculating a flipping event in which at least one of the edges of the Voronoi diagram is converted into a vertex and then converted into another edge, and a collision event by which a collision between a pair of moving disks defining an edge of the Voronoi diagram is predicted, and calculating whether actual collisions occur between moving disks triggering the flipping event and between moving disks triggering the collision event, in chronological order of the occurrence of the flipping event and the collision event.

Disclosed is a method for predicting collisions and conflicts between multiple moving bodies. A method for predicting and avoiding collisions and conflicts between multiple moving bodies comprises the steps of: creating objects by modeling the shape of each of multiple moving bodies; creating two-dimensional circles by modeling the objects by using size information of the objects; modeling the two-dimensional circles into moving disks by using at least one of the moving speeds of the moving bodies, the monitoring time window for the moving bodies, and the size information of the two-dimensional circles; computing a Voronoi diagram between the moving disks and calculating edges of the Voronoi diagram; and during the monitoring time window for the moving bodies, calculating a flipping event in which at least one of the edges of the Voronoi diagram is converted into a vertex and then converted into another edge, and a collision event by which a collision between a pair of moving disks defining an edge of the Voronoi diagram is predicted, and calculating whether actual collisions occur between moving disks triggering the flipping event and between moving disks triggering the collision event, in chronological order of the occurrence of the flipping event and the collision event.