Abstract: Systems and methods for controlling an autonomous vehicle are provided. In one example embodiment, a computer-implemented method includes determining vehicle diagnostics information associated with a first autonomous vehicle that is part of a fleet of vehicles controlled by a first entity to provide a vehicle service to a second entity. The method includes determining remote inspection information that includes an assessment of one or more categories pertaining to a third entity, based at least in part on the vehicle diagnostics information. The method includes providing the remote inspection information to the third entity to provide the vehicle service.

Abstract: A vehicle dispatch management system includes a vehicle dispatch management server and an autonomous vehicle managed thereby. The system dispatches a vehicle to a user based on a vehicle dispatch request to the vehicle dispatch management server from the user. The autonomous vehicle includes a network interface that communicates with the dispatch management server. The vehicle performs a first authentication by comparing first reference information and first authentication information, and determining, based on the first comparison, whether the user passes a first authentication. The vehicle dispatch management server includes a further network interface that carries out communication with the autonomous vehicle.

Abstract: A server device can obtain historical location data, concerning a vehicle, captured by a global positioning system (GPS) device of the vehicle and historical engine control unit (ECU) data concerning the vehicle captured by an ECU of the vehicle. The server device can process the historical location data and the historical ECU data to train a machine learning model to determine a relationship between the historical location data and the historical ECU data. The server device can receive location data and ECU data concerning the vehicle and update the machine learning model based on the location data and the ECU data. The server device can receive real-time location data concerning the vehicle and derive an equivalent real-time ECU speed using the machine learning model. The server device can generate a message regarding the equivalent real-time ECU speed of the vehicle and send the message to a remote device for display.

Abstract: A system for identifying and following a moving electronic device, the system includes an antenna for receiving a transmitting signals, a plurality of sensors for distance measurement, a processor, and a memory in communication with the processor. The memory storing instructions that, when executed by the processor, cause the processor to determine a speed and a direction of the moving electronic device; adjust a movement path of the system based on the determined speed and direction of the moving electronic device; determine a distance between the moving electronic device and the system; command the system to follow the moving electronic device within a predetermined range of the distance while identifying and avoiding an obstacle in the movement path of the system.

Abstract: A system for correcting a steering offset generated by an active steering system of a vehicle includes a vehicle comprising a pair of steered road wheels. The system also includes a controller configured to direct a change to an angle of the steered road wheels when a determined steering state of the vehicle is a steering slowly state.

Abstract: A method of transitioning from an autonomous driving mode to a manual driving mode for a vehicle is provided. The method includes comparing a steering device input angle to an autonomously controlled steering angle to determine a steering angle error. The method also includes comparing an acceleration or deceleration input to an autonomously controlled acceleration or deceleration input to determine an acceleration or deceleration error. The method further includes progressively transitioning to the manual driving mode in a weighted manner based on a confidence level factor determined by a calculation that factors in the steering angle error and the acceleration or deceleration error.

Abstract: Techniques for validating data that represents an environment are discussed herein. In examples, the techniques can associate data of an environment with a voxel space including multiple voxels. The techniques can analyze the voxels to identify an error, such as multiple layers for a single surface in an environment, a hole for a location in an environment where a hole does not exist, uneven regions for a smooth surface in an environment, and so on. In some examples, when an error has been identified, an action can be performed, such as displaying a representation associated with the data and an indication of the error, storing an indication of the error in a log file, updating a trajectory for a vehicle, updating the data or a mesh associated with the data, and so on.

Abstract: An updating unit updates an attitude represented by quaternion by defining an initial attitude represented by quaternion as an initial value, and successively substituting output values of the triaxial gyro sensor. A second converter converts the attitude represented by quaternion into an attitude in the Euler angle representation. An angular speed derivation unit derives an angular speed based on a time-dependent change in the attitude in the Euler angle representation. The output unit outputs an angular speed derived based on an output value of a monoaxial gyro sensor, when a difference between a pitch angle derived based on the output value of the triaxial acceleration sensor and the output value of the second converter and a pitch angle from the second converter is equal to or larger than a threshold value.

Abstract: An unmanned aircraft is described. The unmanned aircraft includes a signal output unit and a control unit. The control unit receives at least one signal to be output by the signal output unit. The control unit transmits at least a first signal to the signal output unit, so that the signal output unit outputs the first signal. The unmanned aircraft may be used stand-alone or autonomous as a movable signal output device, but it may also be coupled with a carrier vehicle to meet the function of a signal output device at the carrier vehicle.

Abstract: A method and a system for generating and updating a digital road description database containing object-based information about at least one of a road object, a road furniture object and a geographic object is disclosed. A vehicle is collecting ambient data like images along multiple sections of its path, generating third data sets comprising at least location information and detailed object-based information. The third data sets are forwarded to a server database. The database identifies common groups of object reference points in multiple vehicle path sections and generates alignment functions for matching and/or aligning the at least one group of object reference points in at least two of the vehicle path sections relating to the same part of the road. The same alignment function is applied to all other third data sets of the same vehicle path section. The database updates the fourth data sets in the database based on processing the third data sets.

Abstract: A method for determining an ETA relating to a target route is provided. The method includes obtaining, a target route associated with a user; determining characteristic data relating to the target route, the characteristic data including first feature data corresponding to at least a portion of the target route; obtaining an estimation model, the estimation model including a first sub-model and a second sub-model; determining first cell state data and first hidden state data based on the first feature data and the first sub-model; determining a first vector based on the first cell state data and the first hidden state data; determining second cell state data and second hidden state data based on the first vector and the second sub-model; and determining an ETA relating to the target route based on the second cell state data and the second hidden state data.

Abstract: Methods and systems for managing mobile devices for connection with a vehicle are provided. A processor is configured to determine whether a mobile device is within a predetermined distance of the vehicle based on a comparison between the first geographical data of the mobile device and second geographical data of the vehicle. Responsive to determining that the mobile device is within the predetermined distances of the vehicle based on the comparison, the processor is configured to enable Bluetooth functionality on the mobile device.

Abstract: A vehicle includes: a driving seat; a pair of doors; a seat moving mechanism configured to move the driving seat between a driving state and a receiving state, the driving seat in the driving state being positioned at a vehicle width direction center and facing a vehicle front, and the receiving state satisfying at least one condition of: the driving seat being positioned closer to one door of the pair of doors than in the driving state or the driving seat facing further toward the one door than in the driving state; a detection unit configured to detect a portable device in a detection area in a vicinity of the vehicle and outside a passenger compartment; and a seat control unit that controls the seat moving mechanism so as to move the driving seat into the receiving state.

Abstract: A vehicle actuator system includes an actuator, a first actuator controller that is operable to control operation of the actuator and is operable to determine a first value for a parameter that relates to operation of the actuator, a second actuator controller that is operable to control operation of the actuator and is operable to determine a second value for the parameter, and at least one additional component that is operable to determine a third value for the parameter. A fault is identified in response to determining that the first value does not agree with at least one of the second value or the third value. In response to identification of the fault, the first actuator controller changes from an activated state to a deactivated state and the second actuator controller changes from a deactivated state an activated state.

Abstract: Systems and methods to provide alerts when a rotorcraft is in a low airspeed condition. During takeoff or go-around, an aural alert is provided to the pilot before the aircraft slows to less than the effective translational lift speed. The aural, visual, and/or tactile alert gets the pilot's attention to manage the aircraft's airspeed before it is too late in this critical flight phase.

Abstract: Systems and methods are disclosed for the development and management of curated navigational routes are disclosed. The curated navigational route can be a particular path of travel that is specifically designed for one or more users. The curated navigational routes are carefully constructed paths of travel that are custom defined by a route manager.

Abstract: This description provides an autonomous or semi-autonomous excavation vehicle that is capable of navigating through a dig site and carrying out an excavation routine using a system of sensors physically mounted to the excavation vehicle. The sensors collects any one or more of spatial, imaging, measurement, and location data representing the status of the excavation vehicle and its surrounding environment. Based on the collected data, the excavation vehicle executes instructions to carry out an excavation routine. The excavation vehicle is also able to carry out numerous other tasks, such as checking the volume of excavated earth in an excavation tool, and helping prepare a digital terrain model of the site as part of a process for creating the excavation routine.

Abstract: The disclosed embodiments illustrate methods and systems for predicting demand of vehicles in a transportation network. The method includes determining demand events at each of one or more locations for time intervals based on historical demand data. The demand events correspond to a demand of vehicles at one or more locations during plurality of time intervals throughout a day. The method includes creating a graph comprising nodes, and edges connecting nodes, each node being representative of a demand event from demand events. An edge is representative of dependency between two demand events from demand events. The method includes predicting demand of vehicles at a location from one or more locations during a predetermined time interval based on the graph and a real time demand of vehicles associated with other demand event. The method includes displaying demand prediction on a computing device at one or more locations of transportation network.

Abstract: Disclosed is a driving assist apparatus which executes a process for collision avoidance when the possibility of collision of a vehicle with an obstacle is high. When the steering angle of the steering wheel is greater than an angle threshold, the apparatus determines that a driver is trying to avoid the collision by operating the steering wheel and does not execute the collision avoidance process. When the vehicle is making a right turn or a left turn, there arises a possibility that the collision avoidance process is not executed even in a situation where the collision avoidance process must be executed. In view of this, when the vehicle is making a right turn or a left turn, the angle threshold mentioned above is set to a larger value as compared with the case where the vehicle is not making a right turn or a left turn.

Abstract: A powertrain including a prime mover and an electronically controllable clutch. The powertrain structured selectably engages the clutch to provide power from the prime mover to drive one or more ground contacting wheels and to selectably disengage the clutch to decouple with one or more ground contacting wheels. The electronic control system operatively communicates with the prime mover and the electronically controllable clutch, and uses a predictive cruise control (PCC) controller and an idle coast management (ICM) controller, to control vehicle speed during concurrent operation of the PCC controller and the ICM controller.