Abstract: A method is disclosed for mitigating the risks associated with operating an autonomous or semi-autonomous vehicle by using calculated route traversal values to select less risky travel routes and/or modify vehicle operation. Various approaches to achieving this risk mitigation are presented. A computing device is configured to generate a database of route traversal values. This device may receive a variety of historical route traversal information, real-time vehicle information, and/or route information from one of more data sources and calculate a route traversal value for the associated driving route. Subsequently, the computing device may provide the associated route traversal value to other devices, such as a vehicle navigation device associated with the autonomous or semi-autonomous vehicle. An insurance company may use this information to help determine insurance premiums for autonomous or semi-autonomous vehicles by analyzing and/or mitigating the risk associated with operating those vehicles.

Abstract: To effectively enhance the operation efficiency of an autonomous mobile robot, an autonomous mobile robot control system includes a processor and a plurality of environmental cameras. The processor estimates a moving route of each of a plurality of moving bodies on the basis of characteristics of each of the plurality of moving bodies and sets a subset of the plurality of moving bodies whose moving routes overlap among the detected moving bodies as avoidance processing target moving bodies. The processor generates an avoidance procedure for the avoidance processing target moving bodies so the motion of the avoidance processing target moving bodies does not interfere with the motion of other avoidance target moving bodies.

Abstract: To make it possible to change the action of an unmanned vehicle by reflecting the importance of purposes that can change in response to a change in the situation. An unmanned vehicle (11) acts according to a plurality of purposes. A purpose importance input means (12) inputs the importance of each purpose in the unmanned vehicle (11). An action parameter determining means (13) determines a parameter for controlling the action of the unmanned vehicle (11) based on purpose importance information indicating the input importance of each purpose. An action controlling means (14) controls the action of the unmanned vehicle (11) in accordance with the parameter determined by the action parameter determining means (13).

Abstract: A system for use with an autonomous vehicle includes one or more processors configured to receive one or more inputs from a driver and to control the autonomous vehicle based on the one or more inputs. Each input is indicative of an anticipated driver response to a driving incident.

Abstract: A filter element analysis system for analyzing a filter element within a vehicle, the system including various filter sensors so as to provide information regarding various filter element parameters, a locator which configured provide vehicle position information such that conditions regarding the vehicle environment can be tracked and correlated to the location, as well as a means for transmitting information to a remote server for analysis and tracking of the filter element information with regard to environmental conditions such that a filter element status, remaining filter life, or particle load and replacement timeline can be calculated and updated so as to provide more accurate predictive models of the filter element conditions. As well as provide alerts regarding the need and scheduling of replacement or cleaning of a particular filter element.

Abstract: A driving assistance system for a vehicle that includes a target sensor, an operation amount sensor, a speed sensor, and an electronic control unit configured to perform pre-collision control when a predetermined control start condition is satisfied. Also, the pre-collision control is not performed, even when the predetermined control start condition is satisfied, when a permission condition has not been established by a point in time at which the predetermined control start condition is satisfied.

Abstract: A map information correction apparatus includes a feature point priority determination unit that determines a priority for a feature point of own mobile object surrounding information. A feature pair priority determination unit gives, when there is one or more feature pairs, a priority to the feature pair, based on an own mobile object surrounding information priority of the feature pair and a map information priority of the feature pair. The feature pair is a pair of an own mobile object surrounding information feature point and a received map information feature point that correspond to each other. An error calculation unit calculates an error in the map information, based on a high-priority own mobile object surrounding information feature point and a high-priority map information feature point. A correction unit corrects the map information using the error.

Abstract: The present disclosure is directed to systems and techniques for controlling an autonomous vehicle. While the autonomous vehicle is travelling to a destination, the autonomous vehicle may encounter a situation preventing the autonomous vehicle from travelling to the destination. A control center may receive information from the autonomous device and use a graphical user interface to provide instructions with limited controls for the autonomous vehicle to navigate to an intermediate position. In such an intermediate position, the vehicle may make way for an emergency vehicle, obtain additional sensor data for continued autonomous planning, signal intent to other objects in the environment, and the like.

Abstract: A method and system for controlling movement of a vehicle. Movement, orientation, and position data of the vehicle is collected. A model of kinematics of the vehicle and its environment is created and a Theory of World model is produced and updated. The model includes geometric algebra multivectors. Errors and noise are stored as geometrically meaningful first-class objects within the multivectors. Geometric algebra operations are used to manipulate the model during operation. Error and noise data are propagated and manipulated using geometric algebra operations to reflect measurement and processing errors or noise. The models are used in generation of control data with a primary intent of ensuring stability. Operations such as intersections are used to compare position, orientation, and movement of the vehicle against position, orientation, and movement of objects in its environment. System tasks include, but are not limited to, kinematics, inverse kinematics, collision avoidance, and dynamics.

Abstract: Provided is a system including at least two robots. A first robot includes a chassis, a set of wheels, a wheel suspension, sensors, a processor, and a machine-readable medium for storing instructions. A camera of the first robot captures images of an environment from which the processor generates or updates a map of the environment and determines a location of items within the environment. The processor extracts features of the environment from the images and determines a location of the first robot. The processor transmits information to a processor of a second robot and determines an action of the first robot and the second robot. A smart phone application is paired with at least the first robot and is configured to receive at least one user input specifying an instruction for at least the first robot and at least one user preference.

Abstract: A mobile control unit adapted to move to a plurality of premises, the mobile control unit having a central monitoring system in communication with a facility system of each of the plurality of premises, such that the mobile control unit is adapted to move to one of the plurality of premises when alerted by the facility system of the one of the plurality of premises. A facility management system adapted to manage at least one of the plurality of premises, the facility management system having the mobile control unit and a facility system adapted to monitor each of the plurality of premises. A method of monitoring the plurality of premises using the mobile control unit. A facility management system having a plurality of mobile control units and a main control unit adapted to monitor the location of the plurality of mobile control units.

Abstract: An aircraft includes at least one line replaceable unit (LRU) configured to determine, based on initial data collected prior to a takeoff roll of the aircraft, a takeoff rotation speed of the aircraft and a rotation time associated with the takeoff rotation speed. The LRU is configured to determine, during the takeoff roll and prior to the rotation time, a predicted speed of the aircraft at the rotation time. The predicted speed is at least partially based on data collected during the takeoff roll. The LRU is also configured to determine whether an alert condition is satisfied at least partially based on whether a disparity between the takeoff rotation speed and the predicted speed exceeds a rotation speed disparity threshold and to generate a takeoff performance alert in response to the alert condition being satisfied.

Abstract: A system for a distributed pilot control of an aircraft is disclosed. The system includes a plurality of flight components. The system also includes an aircraft control located within the aircraft. The system includes an aircraft component attached to a flight component of the plurality of flight components. The aircraft component is configured to receive, from a command sensor attached to the aircraft control, an aircraft command. The aircraft component is configured to obtain, from an attitude sensor, an aircraft orientation. The aircraft component is configured to receive, as a function of a notification unit, a pilot signal. The aircraft component is additionally configured to command the flight component to produce a response command as a function of the pilot signal.

Abstract: A measurement device includes a processor coupled to a memory storing instructions. The processor is configured to acquire positional information of a measurement object stored in a storage unit, acquire point group information of points indicating a surrounding feature acquired by an external sensor, output reliability of the positional information of the measurement object indicating a center position of the measurement object existing in a predetermined range based on the point group information of points existing in the predetermined range, the predetermined range being determined based on a position of a movable body, and estimate a movable body position based on the positional information of the measurement object and the center position of the measurement object, wherein the processor determines the center position by calculating an average value of the point group information existing in the predetermined range.

Abstract: Described is a display control device that acquires a difficulty level of an automated traveling control of a mobile object. A display device for visual recognition by a person outside the mobile object whose difficulty level has been acquired is caused to perform display according to the acquired difficulty level.

Abstract: Computer-implemented methods and computer systems are disclosed herein as implemented by one or more processors associated with an autonomous recharging vehicle (ARV). The methods and systems include: forming a list of electric vehicles waiting in queue for charging by the ARV; performing an optimization algorithm to rearrange the order of the electric vehicles and determine whether the ARV needs to be recharged between charging the electric vehicles on the list and the amount of time needed to finish recharging the ARV; scheduling rendezvous points for the ARV to recharge the electric vehicles based upon the rearranged order of the electric vehicles on the list; and automatically routing the ARV to the rendezvous points based upon the scheduling.

Abstract: The present disclosure provides a method of automatic docking a pool cleaning robot, a pool cleaning robot, an electronic device and a computer storage medium. In the method, a pool cleaning robot is placed into a pool; when a docking instruction is received, a closest pool wall relative to the pool cleaning robot is determined; and the pool cleaning robot is enabled to move towards the closest pool wall.

Abstract: Systems and methods for initializing a robot to autonomously travel a route are disclosed. In some exemplary implementations, a robot can detect an initialization object and then determine its position relative to that initialization object. The robot can then learn a route by user demonstration, where the robot associates actions along that route with positions relative to the initialization object. The robot can later detect the initialization object again and determine its position relative to that initialization object. The robot can then autonomously navigate the learned route, performing actions associated with positions relative to the initialization object.

Abstract: A posture estimation device estimates a posture of a movable body based on acceleration information based on a posture change of the movable body and angular velocity information based on the posture change of the movable body. The posture estimation device includes a storage unit that stores the acceleration information, the angular velocity information, and a plurality of posture parameters related to a movement of the movable body, a parameter control unit that selects a selection posture parameter from the plurality of posture parameters, and a posture calculation unit that estimates the posture of the movable body by using the acceleration information, the angular velocity information, and the selection posture parameter.

Abstract: A method for controlling a robotic vehicle in a delivery environment includes causing the robotic vehicle to deploy from an autonomous vehicle (AV) at a first AV position in the delivery environment. The method further includes localizing, via a robotic vehicle controller, an initial position within a global reference map using a robot vehicle perception system, receiving, from the AV, a 3-dimensional (3D) augmented map and localizing an updated position in the delivery environment based on the 3D augmented map and the global reference map. The robot vehicle perception system senses obstacle characteristics, and generates a unified 3D augmented map with robot-sensed obstacle characteristics. The method further includes generating a dynamic path plan to a package delivery destination using the unified 3D augmented map, and actuating the robot vehicle to the package delivery destination according to the dynamic path plan.