Abstract: Systems and methods are described herein for managing communications for a connected vehicle, such as between the connected vehicle and other connected vehicle and/or between the connected vehicle and infrastructure entities, such as providers of services to the connected vehicle. For example, a communication network, such as a network provided by a network carrier, may include various cloud engines or other network-based servers that manage, coordinate, and/or provision communications between the connected vehicle and other parties, such as vehicles, road devices, buildings, and other infrastructure entities.

Abstract: A path reception means 81 receives path evaluation data including each of paths of a plurality of moving bodies and an evaluation value of a business operator for each of the paths. A multi-path optimization means 82 performs optimization based on a utility function that represents adequacy of a business operator for a path learned based on the path evaluation data such that a number of the moving bodies existing in an identical area is a predetermined number or less and determines each of the paths of the plurality of moving bodies to adjust the paths of the plurality of moving bodies. A path transmission means 83 transmits each optimized path.

Abstract: Regardless of the irradiation method of the distance measuring sensor, degradation of recognition performance due to a change in the installation position of the distance measuring sensor is suppressed.

Abstract: Systems, methods, and computer-readable media are provided for receiving first data from a first sensor utilizing a first communication protocol, wherein the first sensor is positioned in an aggregation zone, receiving second data from a second sensor utilizing a second communication protocol, wherein the second sensor is positioned in the aggregation zone, processing the first data received from the first sensor and the second data received from the second sensor to conform the first communication protocol and the second communication protocol, and providing instructions based on the processed first data and the processed second data in a third communication protocol, wherein the instructions adjust auxiliary functions of an autonomous vehicle.

Abstract: A mobile robot includes: a drive unit that changes a moving speed and a travel direction; a detection unit that detects a plurality of detection target objects 11; and a control unit 27 that acquires a distance Z and a direction ? to the detection target object unit, calculates a travel direction in which the distance and the direction to the detection target object satisfy a predetermined relationship, and drives and controls the drive unit on the basis of the calculated travel direction. The control unit calculates a distance x in a direction orthogonal to the movement route between the detection target object and a current position of the mobile robot and the direction to the detection target object, calculates a difference ?x between the distance x and a certain distance Xref, and executes drive control for the drive unit to cause the difference ?x to be 0 (zero).

Abstract: A vehicle, and a system a method of navigating a vehicle. The system includes a trajectory planning module and a trajectory tracking module. The trajectory planning module operates at a processor of the vehicle to generate a trajectory for the vehicle. The trajectory tracking module operates at the processor to track the trajectory to navigate the vehicle. The trajectory planning module and the trajectory tracking module run asynchronously from each other.

Abstract: Systems for managing access to an autonomous vehicle includes an autonomous vehicle including a plurality of storage compartments, wherein each of the plurality of storage compartments comprises a locking mechanism and at least one processor to receive data associated with an item to be positioned in a storage compartment of the plurality of storage compartments, determine that one of the plurality of storage compartments has storage capacity for the item, designate one of the plurality of storage compartments for storage of the item, activate the locking mechanism of the designated storage compartment to lock the designated storage compartment after the item is positioned in the designated storage compartment, and activate the locking mechanism of the designated storage compartment to unlock the designated storage compartment to allow removal of the item from the designated storage compartment. Methods, computer program products, and autonomous vehicles are also disclosed.

Abstract: A crawler maps a structure by moving at least longitudinally or circumferentially on the structure. A probe scans the structure to generate scan data corresponding to the structure. A distance measuring unit measures a distance of the probe from a landmark extending circumferentially around the structure. An orientation sensor determines an orientation of the crawler on the structure. A processor generates a map of the scan data of the structure indexed by the distance and orientation.

Abstract: Systems and methods for vehicle spatial path sampling are provided. The method includes obtaining an initial travel path for an autonomous vehicle from a first location to a second location and vehicle configuration data indicative of one or more physical constraints of the autonomous vehicle. The method includes determining one or more secondary travel paths for the autonomous vehicle from the first location to the second location based on the initial travel path and the vehicle configuration data. The method includes generating a spatial envelope based on the one or more secondary travel paths that indicates a plurality of lateral offsets from the initial travel path. And, the method includes generating a plurality of trajectories for the autonomous vehicle to travel from the first location to the second location such that each of the plurality of trajectories include one or more lateral offsets identified by the spatial envelope.

Abstract: A multi-AGV motion planning method, device and system are disclosed. The method of the present disclosure comprises: establishing an object model through reinforcement learning; building a neural network model based on the object model, performing environment settings including AGV group deployment, and using the object model of the AGV in a set environment to train the neural network model until a stable neural network model is obtained; setting an action constraint rule; and after the motion planning is started, inputting the state of current AGV, states of other AGVs and permitted actions in a current environment into the neural network model after trained, obtaining the evaluation indexes of a motion planning result output by the neural network model, obtaining an action to be executed of the current AGV according to the evaluation indexes, and performing validity judgment on the action to be executed using the action constraint rule.

Abstract: Techniques for determining a condition of a component of a vehicle and/or adjusting a configuration of a vehicle based on a condition of a component of the vehicle are discussed herein. The vehicle can receive vehicle component data and use the vehicle component data to determine a condition of one or more vehicle components. The vehicle can use a sensor, such as an image sensor, to capture or otherwise determine the vehicle component data. The condition of the component(s) of the vehicle may be determined using a machine learned model trained to determine condition of the component from image data. The vehicle can determine vehicle configuration data based on the condition. The vehicle configuration data may include an instruction to navigate to a maintenance facility, to remove the vehicle from service, constraining operation of the vehicle, etc.

Abstract: The invention relates to a method for optimising a flight plan consisting of an air route for an aircraft of a fleet of aircraft, each aircraft being designed to record flight data, the method comprising a preliminary step of learning a network of air routes specific to the fleet of aircraft, the method comprising a step of determining a fuel consumption model specific to the aircraft based on the flight data, the method comprising the subsequent steps of: —collecting meteorological data associated with the aircraft environment, and —determining an optimised flight plan for reaching the destination waypoint, based on a current position of the aircraft, the flight conditions of the aircraft, the predefined air route, the consumption model of the aircraft, the meteorological conditions and the previously defined optimal air routes.

Abstract: The present invention relates to a sampling based optimal tree planning method, a recording medium storing a program for executing the same, and a computer program stored in the computer-readable recording medium for executing the same, more particularly to, a sampling based optimal tree planning method, a recording medium storing a program for executing the same, and a computer program stored in the computer-readable recording medium for executing the same for enabling real-time path planning by reducing the number of nodes that require calculation by excluding state values corresponding to input values that a mobile robot cannot select from the calculation and sampling some state values of a set of state values feasible for the robot when planning a path in a tree structure.

Abstract: Method for controlling a first, a second and a third variable of a turbomachine as a function of a first, a second and a third control quantity of a turbomachine which can each be saturated as a function of the operating parameters of the turbomachine. The method comprises a first multivariable correction (120) delivering a first value for the three control quantities, a selection (130) of the first control quantity to be delivered as a function of a minimum value, of a maximum value and of the value determined by the first correction, a second multivariable correction (140) delivering a second value for the second and third control quantities, and a selection (150) of the values of the second and third control quantities to be delivered in the values determined during the first correction and those determined during the second correction.

Abstract: The invention relates to a method, performed by a first control device, for controlling physically connecting a first and a second module to assemble a vehicle, wherein the first control device is comprised in the first module, the method comprising: activating a sensor device in the first module; identifying an area between the two modules by means of the sensor device; transmitting information about the identified area to the second module; continuously determining the position of the second module in relation to the first module, by means of the sensor device, while the second module is moving towards the first module, and transmitting the determined position to the second module; and physically connecting the modules when the second module has reached the first module.

Abstract: Event-based and subscription-based connected vehicle control and response systems, methods, and apparatus are disclosed. An example method comprises receiving first data acquired by a first plurality of vehicle operation sensors of a first vehicle from a first computing device associated with a first subscriber, identifying an occurrence of an event involving a second vehicle and a third vehicle based on the first data, receiving second data acquired by a second plurality of vehicle operation sensors of the second vehicle, identifying which vehicle of the second vehicle or the third vehicle is at-fault based on the first data and the second data, determining, for the first subscriber and responsive to determining that the first data was used in determining which of the first vehicle or the second vehicle is at-fault, one or more objects, and transmitting the one or more objects to the first computing device.

Abstract: A vehicular control system includes a plurality of cameras disposed at an equipped vehicle. As the equipped vehicle travels forward along a traffic lane of a multi-lane highway, the system, responsive at least in part to processing of image data captured by a forward-viewing camera, detects a leading vehicle traveling forward in the traffic lane that the equipped vehicle is traveling along. The system, responsive at least in part to processing of image data captured by a left-side camera or a right-side camera, detects another vehicle traveling forward in another traffic lane of the multi-lane highway that is adjacent to the traffic lane along which the equipped vehicle is traveling. With the equipped vehicle operating in accordance with SAE Level 3, the system controls the equipped vehicle without driver intervention to maneuver into the other traffic lane ahead of the detected other vehicle to pass the detected leading vehicle.

Abstract: Systems and methods for autonomous waste and/or recycling collection by a waste services provider during performance of a waste service activity are provided. In a waste services environment, a waste service vehicle is configured to provide services to customers. The system and method can include, without limitation: a collection station or “hub” at a centralized location in a residential neighborhood; a plurality of autonomous collection vehicles capable of traveling between the collection station and the residences in the neighborhood to collect waste/items and/or containers at the residences and deliver the waste/items and/or containers to the collection station; and a waste service vehicle capable of collecting waste/items from the collection station and transporting the waste/items away from the neighborhood to a landfill or other collection, disposal or processing site.

Abstract: Described herein are devices, systems and methods related to automated waste management. Aspects of the present disclosure include devices, systems, and methods comprising an autonomous waste bin. The autonomous waste bin may include a first and second driving wheels connected to a base of a hollow receptacle. The autonomous waste bin may include a first and second driving motor connected to the first and second driving wheels respectively, the first and second driving motor configured to provide a driving force to the first and second driving wheels. The autonomous waste bin may include at least one controller in communication with the first and second driving motors, the at least one controller configured to control the movement of the autonomous waste bin, via the first and second driving wheels.

Abstract: Utilizing existing information of community transportation offerings, the present invention builds customized travel routes to enable independent mobility for individuals with cognitive disabilities. Visual, aural, and sensory prompts are provided based on the location of, and through, a mobile device. Concurrently with providing direction and reassurance to the traveler, the system monitors the location and progress of the traveler along the route. Upon recognition that the mobile device (traveler) is no longer on the initiated route, a caregiver, or the like, is notified to render assistance.