Abstract: Embodiments are directed to a system and method for ingesting location event data and identifying a journey for a vehicle from the event data. The journey identification includes identifying whether a given vehicle is moving for purposes of driving to a journey destination.

Abstract: The present technology relates to an intelligent road infrastructure system and, more particularly, to systems and methods for a heterogeneous connected automated vehicle highway (CAVH) network in which the road network has various RSU and TCU/TCC coverages and functionalities. The heterogeneous CAVH network facilitates control and operations for vehicles of various automation level and other road users by implementing various levels of coordinated control among CAVH system entities and providing individual road users with detailed customized information and time-sensitive control instructions, and operations and maintenance services.

Abstract: A control system is for a vehicle with vehicle devices and a data communications bus extending through the vehicle and coupled to the vehicle devices. The control system may include a vehicle wireless device, and a vehicle controller configured to communicate, via the data communications bus, with a vehicle device based upon an authorized wireless control device, and send a request for authorization, via the vehicle wireless device, of a new wireless control device to be able to operate the vehicle controller. The control system may include a remote wireless device away from the vehicle and configured to receive the request for authorization from the vehicle controller, present the request for authorization to a user, and permit the user to send a response to the request for authorization to the vehicle controller.

Abstract: A data processing and relocation alerts system for processing data and provided relocation alerts is provided. The data processing and relocation alerts system includes at least one processor in communication with at least one database. The at least one processor is programmed to: (i) store profile data for registered users including at least a user identifier, contact data, at least one asset identifier, and an asset location; (ii) receive geographical location data for an impact area; (iii) store the impact area location data in the database; (iv) compare the impact area location data to the registered user profile data to identify the at least one registered asset located within the impact area; (v) retrieve contact information of impacted registered users based on the comparison; (vi) identify at least one safe area for relocation of the at least one registered asset; (vii) transmit a relocation alert using the contact information.

Abstract: A relative atlas graph is generated to store mapping data used by an autonomous vehicle. The relative atlas graph may be generated for a geographical area based on observations collected from the geographical area, and may include element nodes corresponding to elements detected from the observations along with edges that connect pairs of element nodes and define relative poses between the elements for connected pairs of element nodes.

Abstract: A control system for controlling a motion of a vehicle is disclosed, where the control system comprises an input interface to accept measurements of the environment and an image processor to generate an extended bird's eye view (BEV) image from the measurements. The BEV image has a set of pixels carrying information about objects in the environment, and a pixel in the set of pixels is associated with a time sequence of future positions of the pixel in subsequent time steps representing a prediction of a future motion of an object. The control system further comprises a motion planner to produce a motion trajectory of the vehicle using the extended BEV image. The control system further comprises a controller to control an actuator of the vehicle based on the produced motion trajectory.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: obtaining passenger information of one or more passenger traveling within a transportation network; and providing one or more output based on a processing of the passenger information.

Abstract: A system for determining a driving range of a vehicle includes an energy storage component to store electrical energy or fuel. The system further includes a power source to convert the electrical energy or fuel into mechanical power to propel the vehicle. The system further includes a memory to store map data including road speeds, altitude data, road grades, or stop information corresponding to at least one of stop signs or stop lights, and a first driver profile corresponding to driving behavior of a first driver. The system further includes an electronic control unit (ECU) designed to predict the driving range of the vehicle based on an amount of the at least one of the electrical energy or fuel remaining in the energy storage component, the map data, and the first driver profile. The system further includes an output device designed to output the driving range of the vehicle.

Abstract: System, apparatus, device and methods relating to a telematic vehicle sharing platform ecosystem and a telematic vehicle share I/O expander to automate sharing and management of a vehicle that is shared by more than one operator.

Abstract: Devices, systems, and methods are provided for classifying detected objects as static or dynamic. A device may determine first light detection and ranging (LIDAR) data associated with a convex hull of an object at a first time, and determine second LIDAR data associated with the convex hull at a second time after the first time. The device may generate, based on the first LIDAR data and the second LIDAR data, a vector including values of features associated with the first convex hull and the second convex hull. The device may determine, based on the vector, a probability that the object is static. The device may operate a machine based on the probability that the object is static.

Abstract: An autonomous mobile device (AMD) may perform various tasks during operation. Some tasks, such as delivering a message to a particular user, may involve the AMD identifying the particular user. The AMD includes a camera to acquire an image, and image-based authentication techniques are used to determine a user's identity. A user may move within in a physical space, and the space may contain various obstructions which may occlude images. The AMD may move within the space to obtain a vantage point from which an image of the face of the user is obtained which is suitable for image-based authentication. In some situations, the AMD may present an attention signal, such as playing a sound from a speaker or flashing a light, to encourage the user to look at the AMD, providing an image for use in image-based authentication.

Abstract: Described is a system for competency assessment of an autonomous system. The system extracts semantic concepts representing a situation. Actions taken by the autonomous system are associated with semantic concepts that are activated when the actions are taken in the situation. The system measures an outcome of the actions taken in the situation and generates a reward metric. The semantic concepts representing the situation are stored as a memory with the actions taken in the situation and the reward metric as a memory. A prospective simulation is generated based on recall of the memory. A competency metric and an experience metric are determined. Competent operational control of the autonomous system is maintained when at least one of the competency metric and the experience metric is above a minimum value. An alert is generated when at least one of the competency metric and the experience metric falls below the minimum value.

Abstract: A vehicle system including a vehicle component and a controller is provided. The controller may selectively activate the vehicle component and communicate with a mobile unit including an interface. The controller may be programmed to interact with the mobile unit upon detection by accessing vehicle sleep mode instructions preprogrammed by a user via the interface in which the controller activates the vehicle component according to an escalation sequence schedule to disengage a vehicle sleep mode. The system may further include a sensor in communication with the vehicle component and the controller. The controller may be further programed to activate the vehicle component according to the escalation sequence schedule based on receipt of a signal from a sensor indicating a passenger is asleep.

Abstract: An information processing device includes a receiving unit configured to receive a signal sent from a wireless communication unit included in an autonomous vehicle, a failure determination unit configured to determine a failed vehicle in which an external monitoring camera has failed based on the signal from the wireless communication unit, a detection unit configured to detect a specific vehicle that is planned to travel on a route at least a section of which overlaps with a travel planned route of the failed vehicle beginning at a failure point of the failed vehicle that includes the exterior monitoring camera determined to be failed, and a sending unit configured to send travel control information to the failed vehicle to instruct the failed vehicle to travel in front of or behind the specific vehicle.

Abstract: A method for adjusting the position of a steered wheel of a vehicle includes detecting a steering position value of a steering control device of a vehicle such that the steering position value corresponds to an angular position of the steering control device; calculating a traction speed breakpoint at or above which steering desensitization may occur; and defining a maximum commencement steer angle at or below which steering desensitization may commence.

Abstract: Provided are methods for learning to identify safety-critical scenarios for autonomous vehicles. First state information representing a first state of a driving scenario is received. The information includes a state of a vehicle and a state of an agent in the vehicle's environment. The first state information is processed with a neural network to determine at least one action to be performed by the agent, including a perception degradation action causing misperception of the agent by a perception system of the vehicle. Second state information representing a second state of the driving scenario is received after performance of the at least one action. A reward for the action is determined. First and second distances between the vehicle and the agent are determined and compared to determine the reward for the at least one action. At least one weight of the neural network is adjusted based on the reward.

Abstract: A patient transport apparatus for transporting a patient over a surface. The patient transport apparatus has support wheels coupled to a base and swivelable about swivel axes. An auxiliary wheel assembly is coupled to the base and includes an auxiliary wheel configured to move between a plurality of wheel positions, and an actuator operably coupled to the auxiliary wheel to move the auxiliary wheel between the plurality of wheel positions. A sensing system with a sensor is provided to detect a motion condition of the patient transport apparatus. A controller is coupled to the sensing system and to the actuator, and is configured to drive the actuator to move the auxiliary wheel between the plurality of wheel positions based on the motion condition of the patient transport apparatus.

Abstract: Provided herein is a system comprising: one or more processors; and a memory storing instructions that, when executed by the one or more processors, causes the system to perform: identifying, in a map, one or more entities that change over time; predicting an amount of change of the identified one or more entities over time; and updating the map based on the predicted amount of change of the identified one or more entities over time.

Abstract: According to an aspect of an embodiment, operations may comprise accessing a set of vehicle poses of one or more vehicles; for each of the set of vehicle poses, accessing a high definition (HD) map of a geographical region surrounding the vehicle pose, with the HD map comprising a three-dimensional (3D) representation of the geographical region, determining a measure of constrainedness for the vehicle pose, with the measure of constrainedness representing a confidence for performing localization for the vehicle pose based on 3D structures surrounding the vehicle pose, and storing the measure of constrainedness for the vehicle pose; and for each of the geographical regions surrounding each of the set of vehicle poses, determining a measure of constrainedness for the geographical region based on measures of constrainedness of vehicle poses within the geographical region, and storing the measure of constrainedness for the geographical region.

Abstract: The present disclosure provides a method, a device and a system for guiding an unmanned aerial vehicle to land. A navigation equipment on the unmanned aerial vehicle sends a landing instruction to the ground, so that a landing platform receiving the landing instruction displays a landing pattern. The navigation equipment scans image of the ground to identify the landing pattern, and guides the unmanned aerial vehicle to land at the landing pattern and land on the landing platform eventually. The landing platform displays a landing pattern according to the received instruction, and the unmanned aerial vehicle lands at the landing pattern, so that the unmanned aerial vehicle lands quickly and conveniently without extensive calculation.