Abstract: A method to select between tactical driving decisions of a controlled ego vehicle to reach a target destination is described. The method includes determining upcoming tactical driving decisions of the controlled ego vehicle to reach the target destination according to a mission plan. The method also includes ranking upcoming tactical driving maneuvers associated with each of the upcoming tactical driving decisions. The method further includes selecting a tactical driving maneuver prior to a critical intersection according to the ranking of the upcoming tactical driving maneuvers to reach the target destination according to the mission plan.

Abstract: A system for signaling a hazard condition of a vehicle includes a microprocessor configured to receive an electronic signal from the vehicle that is indicative of a hazardous condition involving the vehicle, and a first radio transmitter in operative communication with the microprocessor. In response to receiving the signal indicative of a hazardous event, the microprocessor sends a first wireless signal via the first radio transmitter that indicates the vehicle is involved in the hazardous condition.

Abstract: A method, apparatus, system, and computer program product for operating an aerial imaging system. A first altitude of a first aircraft is determined, by a computer system, using first images of a key point generated by the first aircraft during a flight and stereo depth triangulation. The first altitude is compared with a second altitude of a second aircraft determined by the second aircraft, by the computer system, to form a comparison. An offset between the first altitude and the second altitude is determined, by the computer system, using the comparison. At least one of the first altitude or the second altitude is adjusted based on the offset. A plurality of images of a region from the first aircraft at the first altitude and from the second aircraft at the second altitude is obtained.

Abstract: A system monitors the health of a helicopter, and includes a device for determining a change of state of the engine and is configured to collect data measured by engine and external conditions sensors during a stable flight phase and to process the measured data.

Abstract: A fact checking system utilizes social networking information and analyzes and determines the factual accuracy of information and/or characterizes the information by comparing the information with source information. The social networking fact checking system automatically monitors information, processes the information, fact checks the information and/or provides a status of the information, including automatically modifying a web page to include the fact check results. The fact checking system is able to be implemented utilizing a drone device. The drone device is able to be implemented in conjunction with a security system.

Abstract: A control device, a control method, and a control system for an electric vehicle are configured to use both of one-pedal feedback control based on an acceleration and one-pedal feedback control based on a speed, to thereby decelerate a vehicle to stop.

Abstract: A system and method for completing risk object identification that include receiving image data associated with a monocular image of a surrounding environment of an ego vehicle and analyzing the image data and completing semantic waypoint labeling of at least one region of the surrounding environment of the ego vehicle. The system and method also include completing counterfactual scenario augmentation with respect to the at least one region. The system and method further include determining at least one driver intention and at least one driver response associated with the at least one region.

Abstract: Example embodiments relate to techniques for detecting adverse road conditions using radar. A computing device may generate a first radar representation that represents a field of view for a radar unit coupled to a vehicle and during clear weather conditions and store the first radar representation in memory. The computing device may receive radar data from the radar unit during navigation of the vehicle on a road and determine a second radar representation based on the radar data. The computing device may also perform a comparison between the first radar representation and the second radar representation and determine a road condition for the road based on the comparison. The road condition may represent a quantity of precipitation located on the road and provide control instructions to the vehicle based on the road condition for the road.

Abstract: The present application discloses systems, methods, and computer-readable media that utilize computing devices to model multi-outcome transportation-value metrics that account for spatio-temporal trajectories across locations, times and other contextual features, and then utilize computer networks to dispatch provider devices to locations based on the multi-outcome transportation-value metrics. Moreover, the disclosed systems can utilize these multi-outcome transportation-value metrics and/or other models to manage and utilize dynamic transportation dispatch modes to more efficiently align provider devices and requestor devices across computer networks. For instance, the disclosed system can dispatch a provider device based on a discounted multi-outcome transportation-value metric.

Abstract: A drive and control system is provided for use on a zero turn vehicle, and includes first and second hydraulic ground drives independently driving a set of driven wheels. Each ground drive has an electric actuator to control the output thereof. An operator mechanism generates a drive signal corresponding to a neutral drive position or to one of a plurality of non-neutral drive positions of the operator mechanism, and a steering signal corresponding to a neutral steering position or to one of a plurality of non-neutral steering positions of the operator mechanism. Sensors generate signals corresponding to sensed roll, pitch and yaw parameters. A stability control module includes a processor for receiving the drive and steering signals and for providing output signals to the electric actuators.

Abstract: In one example implementation according to aspects of the present disclosure, a computer-implemented method for generating map features includes receiving, by a processing device, aerial image data. The method further includes receiving, by the processing device, telemetry data. The method further includes performing, by the processing device, data fusion on the aerial image data and the telemetry data to generate map features. The method further includes controlling, by the processing system, a vehicle based at least in part on the map features.

Abstract: Provided are a travel control device, a vehicle, and a travel control method that realize travel at the speed desired by the driver. This travel control device is equipped with: a travel control unit that switches between and executes a constant speed travel control for causing a vehicle 1 to travel at a target speed and a coasting control for causing the vehicle to travel by inertia; and a switching control unit that, in cases in which an operation for switching the target speed has been performed while executing the constant speed travel control or the coasting control, controls the travel control unit to execute the constant speed travel control without executing the coasting control for a prescribed period of time from the point of completion of said operation.

Abstract: An apparatus, fitted to a vehicle, for sensing a vehicular environment, includes acquiring with a first sensing circuit at least one first vehicular environment scene data. The first sensing circuit comprises at least one sensor, and is powered by a first power supply. A second sensing circuit is used to acquire at least one second vehicular environment scene data, and it comprises at least one sensor. The second sensing circuit is powered by a second power supply. The at least one first and second vehicular scene data is provided to a processing unit. The processing unit correspondingly determines first and second vehicular control data based on the first and second vehicular scene data. The first and second vehicular control data are each independently useable by a vehicle to automatically perform at least one safety maneuver comprising one or more of: braking; deceleration; movement to a slow lane or hard shoulder.

Abstract: An introduction necessity judgment unit judges necessity of introduction of an additional vehicle to a circuit based on a boarding demand on the circuit, and outputs an introduction request command when judging that the introduction is necessary. Upon reception of the introduction request command, an introduction timing determiner outputs an introduction command to the additional vehicle when a maximum value of actual operation intervals of operating vehicles is greater than or equal to an interval threshold determined according to a target velocity, and outputs a hold command to the additional vehicle for putting introduction to the circuit on-hold when the maximum value is less than the interval threshold Dr_th.

Abstract: Aspects of the invention may be related to a computer system and a computerized method of controlling a marine vessel. Embodiments may include: receiving, by a controller, a position of the marine vessel from a positioning system; receiving, by the controller, geographical data, from at least one database, the geographical data may include at least a map of seabed depths; receiving, by the controller, a heading direction and speed of the marine vessel; calculating, by the controller, a safety zone ahead of the marine vessel based on the position, the heading direction and the speed of the marine vessel; identifying a location of a critical seabed depth inside the safety zone based on the received, the geographical data; and changing, by the controller, a state of a propelling unit of the marine vessel when a critical seabed depth was identified inside the safety zone.

Abstract: A device may receive a message identifying an incident associated with a vehicle and may forgo rebroadcast of the message when the message was previously received. The device may store the message when the message was not previously received and may calculate a distance from the device to the vehicle based on a received power associated with the message. The device may determine whether to stop rebroadcasting the message based on a stop condition and based on the distance or a current location of the device and may calculate a particular coverage area of a rebroadcasted message based on coverage areas of the device and the vehicle. The device may determine, based on not determining to stop rebroadcasting the message and based on the distance or the particular coverage area, a delay time to wait before rebroadcasting the message and may rebroadcast the message after the delay time expires.

Abstract: A driver monitoring system according to an example of the present disclosure includes a camera configured to record images of a driver within a cabin of a vehicle. At least one vehicle sensor is configured to detect an anomalous driving event of the vehicle based on predefined criteria. A controller is in communication with the camera and the at least one vehicle sensor. The controller is configured to, based on the detection, obtain a particular image taken by the camera that depicts the driver during the anomalous event. The controller is configured to transmit the particular image to a fleet manager, store the particular image in a local repository of anomalous driving images, or both.

Abstract: In particular embodiments, a computing system may receive, by a processor in communication with an actuator of a vehicle, an instruction associated with an environment external to the vehicle and configured for controlling the actuator of the vehicle. The system may receive, by the processor, sensor data associated with the environment and generated by one or more sensors associated with the vehicle. The system may determine, by the processor, a state associated with an operation mode of the vehicle based on the received sensor data. The system may evaluate, by the processor, whether the instruction is invalid based on the state associated with the operating mode of the vehicle. The system may, subsequent to determining that the instruction is invalid, based on the evaluation, prevent transmission of the instruction to the actuator of the vehicle.

Abstract: A vehicle system includes an information storage, an information acquirer, a vehicle characteristics extractor, and a vehicle characteristics transmitter. The information storage stores vehicle information of sample vehicles in association with the sample vehicles. The vehicle information is obtained by combining a traveling location or a traveling environment, or both, with vehicle characteristics. The information acquirer acquires vehicle information of a target vehicle and either of both of a first traveling location and a first traveling environment for which vehicle characteristics for the target vehicle are lacking. The vehicle characteristics extractor determines a sample vehicle of which vehicle information matches the vehicle information of the target vehicle and extracts vehicle characteristics of the sample vehicle corresponding to either or both of the first traveling location and the first traveling environment.

Abstract: A method for collecting transportation vehicle-based data and transferring the data to a backend computer, wherein the respective data sets relate to predefined route sections travelled along by a swarm of data-collecting vehicles, wherein parameterized orders for the acquisition of transportation vehicle-based data are stored in the backend computer and each order includes the parameter of route section, which defines the route section for which transportation vehicle-related data is to be collected; the parameter of swarm size, which defines how many transportation vehicles per unit of time are to collect data for the specified route section; and the parameter time interval, which defines the time interval in which data is to be acquired for the route section. Route-related data is continuously transferred to the backend computer from each transportation vehicle of the swarm, wherein a header constitutes an overview of the transportation vehicle-based data stored temporarily in the transportation vehicle.