Abstract: A system can receive a destination change request inputted by a passenger of an autonomous vehicle, where the destination change request comprises a request to change a first destination of the passenger to a second destination. In response to receiving the destination change request, the system determines a feasibility indicator for the autonomous vehicle to travel to the second destination, and based on the feasibility indicator, determines a suggested destination being different from the second destination. The system transmits an instruction to a computing system of the autonomous vehicle, causing the computing system of the autonomous vehicle to reroute the autonomous vehicle to the suggested destination. The system then transmits an instruction to a computing device associated with a non-autonomous vehicle, where the instruction comprises a request or invitation for a driver of the non-autonomous vehicle to transport the passenger from the suggested destination to the second destination.

Abstract: In some examples, systems and methods are described for output biasing maneuvers recommendations provided by at least one machine learning maneuver-recommendation (MLM) engine executing on an aerial vehicle. In some examples, output biasing data can be received that includes at least one risk tuning parameter that can influence which of the maneuver recommendations are selected by a maneuver decision engine executing on the aerial vehicle based on a maneuver confidence threshold for implementation by the aerial vehicle. The maneuver confidence threshold can be updated based on the at least one risk tuning parameter to provide an updated maneuver confidence threshold for the output biasing of the maneuvers recommendation provided by the at least one MLM engine. Vehicle command data for implementing a given maneuver recommendation can be outputted based on an evaluation of the updated maneuver confidence threshold.

Abstract: A future location of a movable object is predicted to intersect a planned path of a host vehicle. A host vehicle component is actuated to output a signal indicating to move the movable object. Then, at least one of the movable object is determined to have moved or the planned path of the host vehicle is updated. Then, the host vehicle is operated along the planned path or the updated planned path.

Abstract: Provided is an apparatus for providing obstacle information and reliability information to vehicle based on information received from roadside units. The apparatus includes a communication module that receives obstacle information from multiple roadside units, each roadside unit including multiple sensors for detecting obstacles within a predetermined field of view. A reliability judgement unit in the apparatus determines a reliability of the received obstacle information to output a reliability value based on a number of roadside units detecting a same obstacle, a number of sensor of one roadside unit detecting a same obstacle, and a difference value of detection of the same obstacle between different roadside units or different sensors.

Abstract: In a drive assistance device, a required space estimation unit estimates a required space which is a space required for a subject vehicle to complete a starting. A required time estimation unit calculates an estimated required time which is an estimate value of a time required to complete the starting at a time of starting the subject vehicle. A collision time estimation unit calculates an estimated collision time which is an estimate value of a time until when an obstacle reaches the required space. A start margin calculation unit calculates a start margin indicating a temporal margin for the subject vehicle to complete the starting until the obstacle reaches the required space based on the estimated required time and the estimated collision time. The notification processing unit notifies a driver of the subject vehicle of the start margin.

Abstract: A parking support apparatus is configured to automatically park a target vehicle in a target parking space, which is one parking space out of a plurality of parking spaces. The parking support apparatus is provided with: an acquirer configured to obtain parking information indicating a parking posture of a parked vehicle in one or a plurality of parking spaces around the target parking space, out of the plurality of parking spaces; and a determinator configured to determine a parking posture of the target parking vehicle with respect to the target parking space, on the basis of the obtained parking information.

Abstract: A method for monitoring the take-off and/or landing procedure of an aircraft (1), in particular for an electrical, vertical take-off and landing aircraft (1), in which a monitoring region of a take-off and landing site (2) is monitored by at least one microphone (4, 5) of a monitoring station to detect sound emission data of an aircraft (1) taking off or landing as it approaches or departs and the detected sound emission data are transmitted from the monitoring station to an evaluation unit. The detected sound emission data are evaluated by the evaluation unit by comparing the detected sound emission data to characteristic sound emission data.

Abstract: An autothrottle for an aircraft that includes a power-control input (PCL) manually movable by a pilot along a travel path to effect a throttle setting that controls engine power of the aircraft. The autothrottle determines a control-target setting for a throttle of the aircraft and dynamically adjusts the throttle according to the control-target setting, including moving the PCL to achieve the control-target setting. A virtual detent is set and dynamically adjusted at positions along a travel path of the PCL corresponding to the control-target setting. The virtual detent is operative, at least when the autothrottle is in a disengaged state for autothrottle control, to indicate the control-target setting to the pilot via a haptic effect that applies a detent force opposing motion of the PCL in response to the PCL achieving the position of the virtual detent.

Abstract: A method to control, while driving along a curve, a road vehicle with a variable stiffness and with rear steering wheels. The method comprises the steps of: determining an actual attitude angle of the road vehicle; establishing a desired attitude angle; determining an actual yaw rate of the road vehicle; establishing a desired yaw rate; and changing, in a simultaneous and coordinated manner, the steering angle of the rear wheels and the distribution of the stiffness of the connection of the four wheels to the frame depending on a difference between the actual attitude angle and the desired attitude angle and depending on a difference between the actual yaw rate and the desired yaw rate.

Abstract: A system may comprise one or more processors, and a memory storing instructions that, when executed by the one or more processors, causing the system to perform receiving, from a first sensor coupled to a front part of a vehicle, a first set of sensor data that include data of a first edge of a body part, or from a second sensor coupled to the front part of the vehicle, a second set of sensor data that include data of a second edge of the body part. The system may perform calculating, based on the first or second set of the sensor data, location of the first edge or the second edge of the body part relative to the front part, and determining whether the relative location of the first edge or the second edge is within an expected location range. The system may perform sending a notification that driving adjustment of the vehicle is required if the relative location is outside the expected location range.

Abstract: A system comprising a computer including instructions to collect object data about each of a plurality of objects within a zone from sensors on a roadside infrastructure unit. The zone includes a road intersection. The object data includes an object type, an object location, an object speed and an object direction of travel for each object. The computer further includes instructions to determine, based on the object data, an availability level for execution of one or more paths through the road intersection by a vehicle wherein the availability level for each of the one or more paths is based on a likelihood of interference between any of the objects and the vehicle as the vehicle traverses the respective path. The computer further includes instructions to transmit an availability message to the vehicle including the availability level for each of the one or more paths.

Abstract: A system may include a display and a processor communicatively coupled to the display. The processor may be configured to: generate a synthetic vision system (SVS) taxi mode exocentric view of an aircraft when the aircraft is performing taxi operations and when the aircraft is on ground, wherein the SVS taxi mode exocentric view includes at least one range ring centered around a depiction of the aircraft, each of the at least one range ring providing a visual indication of a given range between the aircraft and a given range ring; and output, to the display, the SVS taxi mode exocentric view. The display may be configured to: display the SVS taxi mode exocentric view.

Abstract: Examples are directed toward a system and method relating to mobile screening. For example, a mobile screening vehicle includes a passenger scanner that performs security scanning of a passenger on the mobile screening vehicle. The mobile screening vehicle also includes a verification system that verifies, consistent with the security scanning of passengers, that passengers on the mobile screening vehicle are approved to proceed to a secure area of a travel venue.

Abstract: A military vehicle includes a chassis, a front end accessory drive (FEAD), and circuitry. The chassis includes an engine and an integrated motor generator (IMG). The FEAD includes multiple accessories and an electric motor-generator. The circuitry is configured to operate the military vehicle according to different modes. The circuitry is configured to receive a user input indicating a selected mode of the modes, and operate the chassis and the FEAD of the military vehicle according to the selected mode. The modes include an engine mode and an electric mode. In the engine mode, the engine drives the FEAD and the tractive elements of the military vehicle through the IMG for transportation. In the electric mode, the engine is shut off to reduce a sound output of the military vehicle and the IMG drives the tractive elements of the military vehicle for transportation and the electric motor-generator drives the FEAD.

Abstract: An obstacle detecting method, apparatus, device and computer storage medium are proposed. The method includes: obtaining data acquired by a plurality of sensors installed on a vehicle at the same time; combining the data acquired at the same time to obtain a data set corresponding to the time; and performing obstacle detection based on the data set to obtain obstacle information. The technical solution may reduce financial costs and enrich information amount of the data, and may simplify the obstacle detecting steps, and avoid the problem about failure to fuse data in different formats, and thereby further improve the vehicle's travel safety.

Abstract: A human-powered vehicle component includes an input device, to which first information related to at least one of a human-powered vehicle, a rider of the human-powered vehicle, and environment of the human-powered vehicle is input. The human-powered vehicle component further comprises an electric actuator and an artificial intelligence processor configured to generate second information for controlling the electric actuator in accordance with the first information input to the input device.

Abstract: According to various embodiments, a method for operating a vehicle may include determining a vehicular area having traffic conditions or characteristics different from traffic conditions of a current or previous location of the vehicle; obtaining traffic and driving information for the determined vehicular region; changing or updating one or more of driving model parameters of a safety driving model during operation of the vehicle based on the obtained traffic and driving information; and controlling the vehicle to operate in accordance with the safety driving model using the one or more changed or updated driving model parameters. A vehicle may seamlessly update operational rules and/or handover of traffic and driving information for transitioning from one region to another.

Abstract: Example methods, apparatus, systems, and articles of manufacture (e.g., physical storage media) to facilitate application and portability of activity profiles and vehicle cabin configuration are disclosed. An example method includes receiving an activity profile and a user setting associated with a user. The activity profile is one of multiple predetermined activity profiles selectable by or associated with the user. The method includes applying the activity profile and the user setting to the vehicle to adjust at least one characteristic of the vehicle's cabin to facilitate a performance of an activity during navigation of the vehicle and/or while the vehicle is stationary. The activity profile and the user setting may be received during, prior to, or after receipt of data indicative of the user's identity. Applying of at least the activity profile to the vehicle may be performed upon successful authentication of the user.

Abstract: A driving assistance device, including an automated driving switch; an emergency button; and a controller configured to provide either automated driving in which travel is performed along a current travel path of a host vehicle or automated stopping in response to manipulation by a driver of the automated driving switch or of the emergency button.

Abstract: A mobile robot is disclosed. The mobile robot may include a wireless transceiver, a driver, and a processor. The mobile robot may execute an artificial intelligence (AI) algorithm and/or a machine learning algorithm, and perform communications with other electronic devices in a 5G communication network. Accordingly, user convenience can be significantly improved.