Abstract: A vehicular cabin monitoring system includes a radar assembly disposed in a cabin of a vehicle and operable to capture radar data. The radar assembly is housed in an interior rearview mirror assembly of the vehicle and includes at least one radar transmit antenna that is operable to transmit radar waves and at least one radar receive antenna that is operable to receive radar waves. A control includes a data processor for processing radar data captured by the radar assembly. The control, via processing at the data processor of radar data captured by the radar assembly, detects movement of a body part of an occupant present in the cabin of the vehicle. The control, responsive to detecting movement of the body part of the occupant in the cabin of the vehicle, generates a control command associated with at least one operation of the vehicle.

Abstract: Aspects of the present disclosure relate switching between autonomous and manual driving modes. In order to do so, the vehicle's computer may conduct a series of environmental, system, and driver checks to identify certain conditions. The computer may correct some of these conditions and also provide a driver with a checklist of tasks for completion. Once the tasks have been completed and the conditions are changed, the computer may allow the driver to switch from the manual to the autonomous driving mode. The computer may also make a determination, under certain conditions, that it would be detrimental to the driver's safety or comfort to make a switch from the autonomous driving mode to the manual driving mode.

Abstract: A system includes at least partially autonomous vehicles, at least partially separated interconnected roadways, and a management system. Each of the vehicles is configured to cooperate with another vehicle or an area controller. The management system is configured to receive requests to transport, which may have respective start points and respective destinations. Additionally, the management system is configured, responsive to receiving the request, to assign a vehicle to fulfill the request. The assigned vehicle is configured to transport a person from the respective start point, at least in part via the interconnected roadways, to the respective destination.

Abstract: A processing system for an unmanned vehicle (UV) such as an unmanned aerial vehicle (UAV) is provided. The processing system comprises a first processing unit of an integrated circuit and a second processing unit of the integrated circuit. The processing system comprises a first operating system provisioned using the first processing unit. The first operating system is configured to execute a first vehicle control process. The processing system comprises a virtualization layer configured using at least the second processing unit, and a second operating system provisioned using the virtualization layer. The second operating system is configured to execute a second vehicle control process.

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: An unmanned aerial vehicle is caused to fly by avoiding a no-fly zone, which changes as a moving object moves. Provided is an unmanned aerial vehicle control system, including: moving object position acquisition means for acquiring moving object position information on a current position of a moving object moving above a surface of an earth; zone setting means for setting a no-fly zone in which a flight of an unmanned aerial vehicle is inhibited based on the moving object position information; and flight control means for controlling the flight of the unmanned aerial vehicle so that the unmanned aerial vehicle avoids the no-fly zone set based on the moving object position information.

Abstract: The present disclosure relates to a method for providing a retreat space for the periodic recuperation of a person. In this case, the interior of a vehicle serves as the retreat space. Said vehicle may be a person's own passenger vehicle or a rented vehicle. Since the retreat space is only used for brief recuperation, e.g., during a lunch break, the space is prepared such that it can fulfill the recuperation requirements from the very start. For this purpose, a request message is sent to the vehicle, by means of which request message the vehicle is prepared as a retreat space for the person. Said preparation consists in configuring the vehicle interior, at least in terms of lighting and/or climatic conditions and/or entertainment facilities, to serve as a retreat space for the recuperation of said person at the reserved time in accordance with the request message. The vehicle may also receive a reservation request message from a service provider who provides vehicles for rent.

Abstract: Techniques associated with generating simulation scenarios for simulating a vehicle controller are discussed herein. Log data may include sensor data captured by sensors of a vehicle. The log data may represent objects in an environment. Objects may be associated with a region of a discretized representation of the environment relative to the vehicle. Specific states of objects (relative position in a region type, velocity, classification, size, etc.) may represent an instance of an occupation. Log data can be aggregated based on similar region type and/or object state. A statistical model over object states can be determined for each region type and can later be sampled to determine simulation parameters. A simulation scenario can be generated based on the simulation parameters, and a vehicle controller can be evaluated based on the simulation scenario.

Abstract: A noise mitigation system for an aircraft comprises a cyclic pitch mechanism arranged to apply a cyclic pitch schedule to rotor blades of an unducted propulsive rotor (UPR) under control of a processor. The processor receives input data corresponding to the position and attitude of the UPR, the position of one or more ground points stored in a memory and the velocity of the aircraft. If the processor determines that a ground point will enter the plane of the UPR, a control signal is output to the cyclic pitch mechanism as necessary to adjust the phase of the cyclic pitch schedule such that the azimuthal position of the ground point on entry to the plane of the UPR lies within an azimuthal interval over which the blade pitch of the cyclic pitch schedule is below its average value, thus reducing noise in the direction of the ground point.

Abstract: A method for providing cost data for a flight is provided. The method (i) obtains cost target data for the flight, under anticipated conditions; (ii) obtains real-time aircraft performance parameters affecting the actual cost of the flight, using continuous monitoring during the flight, including at least aircraft speed modes, aircraft flight level changes, tactical interventions, weather impact, and descent timing deviations; (iii) determines an actual cost of the flight, based on the real-time aircraft performance parameters affecting the actual cost; (iv) identifies flight plan change options associated with a potential cost savings over the actual cost, wherein the flight plan change options comprise potential modifications to the flight plan to complete the flight; (v) presents the flight plan change options; and (vi) adapts operation of one or more avionics systems onboard the aircraft, based on one of the flight plan change options.

Abstract: An information processing device includes a display configured to display a mesh of mesh information based on longitude and latitude. A mesh is composed of a plurality of blocks. The mesh information includes area information about a traveling area where a moving body can travel. The area information is the additional information added to each of the plurality of blocks. The additional information is the display information that is weighted and sorted, based on the number of overlapping points of the plurality of locus logs.

Abstract: A system-on-module (SOM) for controlling an unmanned vehicle (UV) is provided. The SOM comprises a circuit board, a first processing system in operative communication with the circuit board, and a second processing system in operative communication with the circuit board. The first processing system includes one or more first processing units and a volatile programmable logic array. The first processing system is configured to execute a first process for the UV. The second processing system includes one or more second processing units and a non-volatile programmable logic array. The second processing system is configured to monitor execution of the first process by the first processing system.

Abstract: A system includes at least partially autonomous vehicles, at least partially separated interconnected roadways, and a management system. Each of the vehicles is configured to cooperate with another vehicle or an area controller. The management system is configured to receive requests to transport, which may have respective start points and respective destinations. Additionally, the management system is configured, responsive to receiving the request, to assign a vehicle to fulfill the request. The assigned vehicle is configured to transport a person from the respective start point, at least in part via the interconnected roadways, to the respective destination.

Abstract: A sensor system for a vehicle includes a central module and a plurality of sub modules mounted in a frame of the vehicle, the sub modules being independently removable. The sub modules include sensors configured to capture image data and distance data in a vicinity of the vehicle. The central module is connected to each of the plurality of sub modules through a first network including a switching hub. The sub modules are individually connected to an external processor through a second network. The central processor is configured to synchronize the sub modules based on absolute time information through the first network, and the sub modules are configured to output the captured image data and distance data appended with synchronized time information to the external processor by communicating through the second network.

Abstract: A vehicle includes receiving signals from a plurality of satellites; obtaining position information based on the received signal; detecting a driving speed and yaw rate; obtaining dead reckoning information based on position information about a position of a vehicle recognized in a previous cycle and the received detection information; predicting the position information based on the obtained dead reckoning information; obtaining a value of Euclidean distance based on the position information about the position of the vehicle recognized in the previous cycle and the obtained position information; generating a first outlier filter based on the value of the Euclidean distance; obtaining a value of Mahalanobis distance based on the obtained position information and the predicted position information; generating a second outlier filter based on the value of the Mahalanobis distance; recognizing a current position of the vehicle by fusing information passing through the first outlier filter and information passing

Abstract: Aspects of the present disclosure include a navigation system and computer-implemented methods for detecting traffic disruption events based on an analysis of input component data obtained from navigation-enabled devices of vehicles near a particular location. Traffic disruption events are events such as accidents, construction road closures, police and speed traps, or road hazards that cause a decrease in the flow of traffic along a particular route and thus, added time delays for occupants of vehicles traveling along those routes. The navigation system scores the input component data associated with each vehicle and aggregates the scored input component data to obtain a frustration score associated with the vehicle. The navigation system may detect traffic disruption events based on a number of vehicles near a particular area having associated frustration scores above a certain threshold.

Abstract: A driver assistance apparatus includes an external camera disposed at a vehicle so as to have an outer field of view of the vehicle, configured to obtain image data on the outer field of view of the vehicle; an internal camera disposed inside the vehicle to grasp a drivers gaze on board the vehicle, configured to obtain the drivers gaze data; and a controller including at least one processor configured to process the image data and the gaze data. The controller may be configured to grasp the driver's gaze based on the gaze data, and based on a determination that the driver is in a careless condition, to control at least one of a control timing of a steering device and a lateral distance limit value for operating the steering device to be changed.

Abstract: Techniques for communication between modules of a digital experience platform of a vehicle system are described. The vehicle system may be a ridesharing vehicle with a seat display module at each seat and an auxiliary display module that operates at a vehicle level. The seat display modules and the auxiliary display module communicate across a digital experience communication bus of the vehicle system. The seat display modules and the auxiliary display module change states based on conditions within the vehicle and convey system state updates across the communication bus to update a stored state of each display module vehicle-wide.

Abstract: A method for turning an aerial vehicle such as a drone-type vehicle is provided, according to one embodiment. The method provides for receiving a turning input and detecting a current momentum of the aerial vehicle. The method provides for converting the turning input into a yaw command and calculating a change in yaw associated with the turning input. The method provides for calculating a roll command based on the current momentum of the aerial vehicle and based on the change in yaw associated with the turning input. Further, the method provides for executing the yaw command and the roll command in synchrony, wherein the executing the yaw command and the roll command in synchrony causes the aerial vehicle to perform a turn.

Abstract: Wakeboat hull control systems and methods are provided to monitor the orientation of the wakeboat hull in the surrounding water, and to automatically control wakeboat ballast components to achieve or maintain desired hull orientations. Systems and methods are provided to measure, store, and recall hull orientation. Systems and methods are also provided to enable automated action to improve the safety, automation, performance, convenience, and marketing advantage of wakeboat ballast systems.