Abstract: The disclosure is generally directed to systems and methods for a mobile device including transmitting a request by the mobile device for a route that considers transportation modalities and route conditions, the request including location data of the mobile device, receiving a recommended route, the recommended route based on low energy hardware based classification of conditions associated with a plurality of available routes, and receiving a recommended transport modality vehicle and a list of known vehicle identifiers associated with the location data. Low energy wireless signals are received by the mobile device with low energy hardware based classifiers from a mobility vehicle including dedicated hardware including a being a field programmable gate array (FPGA) or an application specific integrated circuit (ASIC) and/or hardware supporting a spiking neural network (SNN), the hardware receiving camera and microphone inputs.

Abstract: When a vehicle control interface receives information indicating “Forward” from a VP, the vehicle control interface sets a value 0 in a signal indicating a rotation direction of a wheel. When the vehicle control interface receives information indicating “Reverse” from the VP, the vehicle control interface sets a value 1 in the signal indicating the rotation direction of the wheel. When the vehicle control interface receives information indicating “Invalid value” from the VP, the vehicle control interface sets a value 3 in the signal indicating the rotation direction of the wheel. The vehicle control interface provides the signal indicating the rotation direction of the wheel to an ADK.

Abstract: Transportation-based service share systems and methods are disclosed herein. An example method can include receiving a request from a service provider to reserve a ridehail vehicle for a ridehail having a time frame, the request specifying a service provided by the service provider; determining the ridehail vehicle for the service provider based on the service; and dispatching the ridehail vehicle, the service provider rendering the service during the ridehail.

Abstract: An onboard device configured to communicate with one or more other onboard devices in an onboard network, and configured to execute processing for updating of software of an own device while communicating with the other onboard devices, the onboard device includes an electronic control unit. The electronic control unit is configured to generate, when not performing the processing, information to transmit to the other onboard devices by executing the software, as first information, and generate, when performing the processing, information to transmit to the other onboard devices without executing the software, as second information.

Abstract: A safety apparatus of a work machine includes: obstacle sensors provided in the upper revolving body; a revolving angle detector; an upper-side coordinate position calculation section that calculates an upper-side coordinate position of the obstacle in the upper-side coordinate system using the upper revolving body as a reference; a lower-side judgment area setting section that sets a lower-side judgment area in the lower-side coordinate system using the lower traveling body as a reference; a coordinate transformation section that transforms one of the upper-side coordinate position and the position of the lower-side judgment area into the other coordinate system to unify the coordinate system; a lower-side approach judgment section that judges whether an obstacle exists within the lower-side judgment area in the unified coordinate system; and a safety operation command section that outputs a safety operation command based on the judgment result.

Abstract: An information processing system includes one or more vehicles, and a server communicable with the one or more vehicles. The vehicle acquires an image obtained by imaging a road on which a host vehicle is located. The vehicle or the server determines a degree of difficulty in traveling on the road due to snow cover from the image. The server stores the degree of difficulty in traveling for each of one or more roads, and provides information to a client by using the stored degree of difficulty in traveling for each of one or more roads.

Abstract: A method for controlling a subsea vehicle. The method includes receiving sensor data representing a subsea environment from one or more sensors of the subsea vehicle. The method identifies one or more objects present in the subsea environment based on the sensor data using an artificial intelligence machine. The method transmits at least a portion of the sensor data, including an identification of the one or more objects, to a user interface. The method includes receiving a requested vehicle task from the user interface. The requested vehicle task being selected by a user via the user interface. The method performs the requested vehicle task without vehicle position control from the user.

Abstract: Methods, systems, and non-transitory computer-readable media are configured to perform operations comprising determining a symmetric scenario for a scenario; training a first machine learning model for the scenario based on first training data generated from second training data for the symmetric scenario; and generating a prediction for the scenario based on the first machine learning model.

Abstract: The present disclosure relates to a method to control a vehicle system. The method includes detecting a deviating vehicle having at least one of a deviating behaviour and a deviating vehicle property by means of a perception system of a first vehicle, wherein the perception system includes at least one sensor device configured to monitor a surrounding environment of the first vehicle; assigning a deviating vehicle classification to the deviating vehicle based on the deviating behaviour and/or deviating vehicle property; determining at least one second vehicle to receive information relating to the deviating vehicle; and transmitting to each determined second vehicle a set of information relating to the deviating vehicle, said set of information including at least one of the deviating vehicle classification and a predetermined instruction to be performed by the determined second vehicle, wherein the predetermined instruction is dependent on the deviating vehicle classification.

Abstract: An information processing device includes a controller that is configured to: acquire driving behavior information as an indication of prudence of a driver in driving a vehicle, acquire a vehicle avatar corresponding to the vehicle, the vehicle avatar having a basic personality set thereto according to information about the vehicle, create a message according to the basic personality of the vehicle avatar based on the driving behavior information, and output the message, that is created, as an utterance of the vehicle avatar.

Abstract: A trip energy estimation system includes a memory and a control module. The memory stores average traffic speed, average traffic acceleration, driver speed, and driver acceleration data. The control module executes an algorithm to estimate an amount of energy for an electric vehicle to travel between two locations. The algorithm includes: determining, based on the average traffic speed data and the average traffic acceleration data, a baseline amount of energy for the electric vehicle to travel between the two locations; determining, based on the driver speed data and the driver acceleration data, a dynamic amount of energy corresponding to at least one of stop and go events, over speeding, or under speeding; and determining a total amount of energy based on the baseline amount of energy and the dynamic amount of energy. The control module, based on the total amount of energy, performs an operation including indicating a trip estimate.

Abstract: A cooperative driving system includes a processor and a memory having one or more modules. The modules cause the processor to determine a route that includes a road segment to a destination for an ego vehicle based on (1) an ego vehicle operating parameter that has information regarding a preferred operation of an ego vehicle by an occupant, and (2) a location of a like vehicle with respect to the ego vehicle when the ego vehicle is traveling on at least a portion of the route. The one or more modules also cause the processor to determine a road-segment-level decision for the ego vehicle for the road segment based on the ego vehicle operating parameter, communicate with the like vehicle near the road segment to negotiate the road-segment-level decision to generate a negotiated road-segment-level decision, and maneuver the ego vehicle inside the road segment using the negotiated road-segment-level decision.

Abstract: The controller of the electric vehicle is configured to control the torque of the electric motor using the MT vehicle model based on the operation amount of the accelerator pedal, the operation amount of the pseudo-clutch pedal, and the shift position of the pseudo-shifter. Further, the controller is configured to execute the stall production process for changing the engine output torque used for calculation of the driving wheel torque to zero when the calculated virtual engine speed using the MT vehicle model becomes lower than the prescribed stall engine speed.

Abstract: Technologies and techniques for operating a backup assistance system for a vehicle, wherein the backup assistance system enables travel in reverse along a previously travelled trajectory, wherein a maximum distance for the reverse travel along the previously travelled trajectory is determined and output using a control unit on the basis of an expected error for the reverse travel along the previously travelled trajectory, in which the expected error exceeds a predefined error threshold value.

Abstract: In a method of creating a database for preview vibration damping control, road surface displacement-associated information detected by a detection device is acquired, positional information capable of identifying a position where the road surface displacement-associated information is detected is acquired, a road surface displacement-associated value associated with a vertical displacement of a road surface is calculated based on the road surface displacement-associated information, and a set of data obtained by linking the road surface displacement-associated value and the positional information with each other is stored into a storage device as part of a database. When it is determined that the magnitude of the road surface displacement-associated value exceeds a permissible reference value set in advance, the magnitude of the road surface displacement-associated value is corrected in a reducing manner, prior to the step of storing the set of data into the storage device.

Abstract: A remote driving device configured to remotely operate a vehicle includes a remote operation device, a reaction force unit, a receiver, and a processor. The remote operation device is operated by an operator in order to remotely operate the vehicle. The reaction force unit is configured to generate an operation reaction force to be applied to the remote operation device. The receiver is configured to receive a parameter affecting vehicle characteristics of the vehicle from the vehicle. The processor is configured to control the reaction force unit so as to generate a magnitude of the operation reaction force according to the received parameter.

Abstract: A system receives sensor data from computing devices of passengers riding in an autonomous vehicle (AV). Based on the sensor data, the system can determine a position of each of the passengers within the AV. The system determines a next passenger to be picked up by the AV. Based at least in part on the position of each of the passengers within the AV, the system can (i) select a pickup location for the next passenger, and (ii) determine a route for the AV based on the pickup location such that an open seat within the AV is adjacent to the next passenger when the AV arrives at the pickup location for the next passenger. The system can transmit data corresponding to the route to enable the AV to update a current route in order to facilitate a rendezvous with the passenger at the pickup location.

Abstract: A vehicle includes an electric machine that generates torque to move wheels of the vehicle, and a controller. The controller operates the electric machine to limit a maximum speed at which the vehicle is driven in reverse such that the maximum speed depends on a number of detected objects behind the vehicle.

Abstract: Systems and methods for mitigating damage caused by hail storms to self-driving motor-vehicles. When a self-driving motor vehicle determines or learns that a hail storm or other severe weather event may be approaching, it may seek cover under a protective structure or some other location where it might not be as exposed to the severe weather event. Depending upon the availability of suitable shelters, the self-driving motor vehicle might, for example, obtain a list of such possible shelters and apply certain factors to develop a priority list as to which shelters to seek. The self-driving motor vehicle may then drive itself to the location and remain there at least for the duration of the hail storm or other event. In some cases, the self-driving motor vehicle may evaluate the adequacy of the protective structure or other location, and may decide to seek a better protective structure or location.

Abstract: An approach is provided for detecting an on-boarding or off-boarding event based on mobile device sensor data. The approach, for example, involves retrieving sensor data collected from at least one sensor of a mobile device that is fixed in a stationary position relative to a vehicle. The approach also involves processing the sensor data to determine roll angle data for the vehicle over a time window. The approach further involves processing the roll angle data to determine one or more transitions of a roll angle value of the vehicle between one or more value levels. The approach further involves determining an on-boarding event, an off-boarding event, or a combination thereof based on the one or more transitions. The approach further involves providing the on-boarding event, the off-boarding event, or a combination thereof as an output.