Abstract: Systems and methods for mission-based path modifications are presented herein. One or more processors may be coupled with memory and housed in a vehicle. The one or more processors may receive data indicative of an issue with at least one function of the vehicle during a mission defined by a type of cargo and a flight path comprising a plurality of segments. The one or more processors may determine, responsive to the issue with the at least one function, an action to perform for the vehicle based on the issue, a current segment of the plurality of segments, and the mission. The one or more processors may execute, during the current segment or a subsequent segment of the plurality of segments, the action on the vehicle.

Abstract: A driving settings control system and method for controlling operating conditions of a vehicle component. The method includes determining a route to a destination in response to receiving the destination from the vehicle, identifying triggers along the route, determining operating conditions of one or more vehicle components of the vehicle corresponding to the triggers, and transmitting control instructions to the vehicle including the route, the operating conditions of the one or more vehicle components, and executing commands instructing the vehicle to accept the operating conditions of the one or more vehicle components as the vehicle approaches locations of the triggers.

Abstract: Among other things, techniques are described for calibrating a sensor of a vehicle. One technique involves identifying a trigger for calibrating at least one sensor of a vehicle. In response to identifying the trigger, the technique then involves initiating a calibration path planning mode for the vehicle. In the calibration path planning mode, the technique involves: generating a plurality of calibration-aware paths that each include at least one calibration trajectory along at least one road; and selecting, from the plurality of paths, a first calibration-aware path for the vehicle, where the at least one sensor is calibrated while the vehicle travels along the selected path.

Abstract: The disclosure generally pertains to systems and methods to classify a road based on a level of support offered by the road for autonomous driving operations. An example method may involve a computer receiving sensor data from a vehicle, the sensor data containing information about a current functional condition of a road. The computer may predict a future functional condition of the road by using a deterioration model to evaluate the sensor data. The computer may then determine a level of support offered by the road for autonomous driving operations based on the future functional condition of the road, and assign a classification to the road based on the level of support offered by the road for autonomous driving operations. The level of support offered by the road for autonomous driving operations may also be based on items such as road markings, traffic signs, traffic signals, and/or infrastructure elements.

Abstract: A method and a device for acquiring, offering, and transmitting vehicle-based data of a route section, in particular environment data acquired by a vehicle of a vehicle swarm traveling on the route section and offered to a back-end computer and transmitted if required, comprising: reporting available vehicle-based data relating to the route section currently being traveled on to the back-end computer; requesting at least one selection of the vehicle-based data offered relating to the predefined route section from the vehicle by means of the back-end computer; collecting the requested selection of the vehicle-based data by means of the sensors of the vehicle and storing the data in a memory the vehicle; and transmitting the requested and collected data to the back-end computer.

Abstract: A method for operating a motor vehicle with regard to a parking operation to be carried out in a parking space, wherein the motor vehicle comprises a vehicle system designed to detect and select the parking space to be used from a plurality of candidate parking options, wherein at least one candidate parking option is associated with a transmitting device, from which the motor vehicle receives permissibility information describing the permissibility of parking the motor vehicle on the candidate parking option and/or of driving through at least a portion of a path leading to the candidate parking option, wherein the selection of the parking space to be used occurs dependent on the permissibility information.

Abstract: A method for controlling applications distributed between a vehicle and a cloud. A supervision of communication channels between the vehicle and the cloud is carried out. Based on the supervision, a control and adaptation of a component of the applications operated in the vehicle or of a component of the applications operated in the cloud are carried out.

Abstract: Disclosed herein are systems and methods for autonomous vehicle operation. A computing system can include a communication device configured to receive a plurality of event signals from at least a first autonomous vehicle that is traversing a path, and a processor in electrical communication with the communication device and configured to determine whether the event signals are indicative of an obstacle in a portion of the path. The communication device can be configured to receive, from at least a second autonomous vehicle, at least one characteristic of the obstacle captured by at least one sensor of the second autonomous vehicle, and transmit, to at least a third autonomous vehicle, at least one task to clear the obstacle from the portion of the path. The processor can be configured to determine, based on the characteristic of the obstacle, the at least one task to be transmitted by the communication device.

Abstract: A computer-implemented method may include receiving, by a computing system on an autonomous vehicle, local weather data and routing data of the autonomous vehicle, the autonomous vehicle including a sensor platform mounted on the autonomous vehicle. The method may include based on the local weather data and the routing data, predicting, by the computing system using a thermal model, a thermal loading and a temperature of a component(s) of a sensor platform at one or more future times, the thermal loading and the temperature being during an operation of the autonomous vehicle. The method may include sending an overheating warning to a controller of the autonomous vehicle based on a determination that the thermal loading or the temperature of the component(s) exceeds a threshold. The method may include reporting a degraded state of the autonomous vehicle to park prior to a predicted overheating of the component(s).

Abstract: A parking control method causes a control device of a vehicle to execute a first control instruction for moving the vehicle along a first route to a target parking space, on the basis of an operation command acquired from an operator located outside the vehicle. This method includes, when execution of the first control instruction is suspended or canceled, calculating a second route for the vehicle to leave with a predetermined distance or more from an object detected around the vehicle and causing the control device to execute a second control instruction for moving the vehicle along the second route.

Abstract: A computer-implemented method includes: receiving, by a computing device, input data for identifying one or more landing site candidates for an aerial vehicle. The input data includes a set of criteria, terrain information, and obstacle information. The method further includes identifying, by the computing device, the one or more landing site candidates based on the input data and the criteria; providing, by the computing device, information regarding the identified one or more landing site candidates.

Abstract: A mass transportation vehicle includes a stop selector and a dispatcher. The stop selector is configured to enable a passenger on the mass transportation vehicle to select a destination stop at which the passenger plans to get off. The dispatcher is configured to book dispatch of an autonomous vehicle to which the passenger transfers after getting off the mass transportation vehicle at the destination stop. The dispatcher sends information about the destination stop to a dispatch management device of the autonomous vehicle as information about a waiting point of the autonomous vehicle.

Abstract: A method for controlling a landing gear of an unmanned aerial vehicle (UAV) includes detecting whether a relative-to-ground height of the UAV is greater than a height threshold, where the relative-to-ground height is a vertical height of the UAV with respect to an object; and in response to the relative-to-ground height being not greater than the height threshold and the UAV having not lowered the landing gear, adjusting the relative-to-ground height to the height threshold or above, and lowering the landing gear.

Abstract: A map database stores data describing a set of connected roads each having one or more lanes, each having one or more lanes. The map database further stores data describing at an avoidance area comprising an area in the map database that an autonomous vehicle (AV) avoids traversing. A routability system determines at least one lane that can be accessed by the AV if the AV traverses the avoidance area, and generates a restored coverage area corresponding to the at least one lane. The restored coverage area corresponds to an area of restored coverage provided by the AV traversing the avoidance area. The routability system computes a score based on the restored coverage area, the score indicating an impact of restoring access by the AV to the avoidance area.

Abstract: According to one embodiment of the invention, a method for detecting driving anomalies comprises steps of: with at least one algorithm, processing raw data from On-Board Diagnostics of a car to generate time-series data, with the time series data as input, using an automatic driving behavior separating technology to identify a plurality of driving behaviors; with the driving behaviors as input, using an artificial intelligence technology to build up a driving anomaly detection model without labeling the driving behaviors; and issuing an alarm for driving anomaly identified according to an analyzing result of alarm signature of the driving behaviors.

Abstract: A control device for vehicle is provided, and includes a communicator configured to receive first image information from a camera device and a processor coupled to the communicator and configured to: extract label information in the first image information; perform edge detection on the label information and extract a total number of edges; normalize the total number of edges to form a first label clarity; and when the first label clarity is greater than or equal to a preset threshold, control the vehicle to move to a parking position according to the first image information. A control method for vehicle is also provided. The present disclosure can effectively reduce the number of starts and stops of the vehicle and shorten the parking time of the vehicle.

Abstract: Various embodiments include methods for operating a motor vehicle during a journey along a route comprising: determining an upcoming potential stopping point along the route; upon approach to the potential stopping point, calculating a value for a probability of a stopping procedure of the motor vehicle at the stopping point at least in part on a stopping model; and, if the probability value is in a predetermined range of values defining a likely occurrence of the stopping procedure, triggering a predetermined operating measure to adapt operation of the motor vehicle to the stopping procedure. The stopping model includes a statistical model providing intermediate values between 0% and 100% for the probability value.

Abstract: A method in an aircraft for energy reduction is disclosed. The method includes: determining a starting point location, altitude and airspeed for a stable approach for landing at a diversion airport; and determining a vertical strategy for achieving the starting point altitude and airspeed by identifying a region of opportunity for adjusting the speed and altitude and identifying a plurality of energy reduction strategies for achieving the starting point altitude and airspeed while in the region of opportunity based on a speed mode during the stable approach. The method further comprises causing a graphic display to be displayed that lists for selection each of the plurality of identified strategies, detailed maneuver information for strategy implementation, and costs for implementing each identified strategy; and causing to be displayed, responsive to flight crew selection, a lateral view and vertical view of a proposed trajectory based on a selected identified strategy.

Abstract: Systems and methods for triggering and issuing safety warnings, including a risk-assessment system that collects movement data pertaining to each of a plurality of subsystems including one or more slow-moving subsystems (SMSSs) and/or one or more fast-moving subsystems (FMSSs). The risk-assessment system identifies, based at least in part on the collected movement data, an instance in which each of a set of warning-triggering conditions is true. The set includes (i) that a likelihood of a collision occurring among an identified subset of the plurality of subsystems is greater than a collision-probability threshold and (ii) that at least one of the subsystems in the identified subset has at least one current movement anomaly. In response to identifying the instance, the risk-assessment system issues at least one warning to at least one of the subsystems in the identified subset.

Abstract: In general, techniques are described by which provide vehicle diagnostics and maintenance. A device comprising an interface and a processor may be configured to perform the techniques. The interface may be configured to communicate with a plurality of sensors to obtain a plurality of sensor signals representative of one or more states of a vehicle. The processor may be configured to apply a trained classifier with respect to the plurality of sensor signals to identify one or more components of the vehicle that result in a change of the vibration during operation of the vehicle.