Abstract: The present disclosure provides a method and apparatus of monitoring a sensor of a driverless vehicle, a device and a storage medium, wherein the method comprises: monitoring a physical state of a to-be-monitored sensor; monitoring a data transmission state of the to-be-monitored sensor; monitoring output data of the to-be-monitored sensor, and using predetermined data to perform cross-validation for the output data; when any monitoring result gets abnormal, determining the to-be-monitored sensor as getting abnormal, and giving an alarm. The solution of the present disclosure may be applied to improve safety of the driverless vehicle.

Abstract: When the state of charge of a battery is greater than or equal to a lower limit value and less than or equal to an upper limit value, an electronic control unit calculates a charging electric energy transferred between a motor-generator and the battery such that the battery is neither charged nor discharged. When the state of charge is less than the lower limit value, a required torque of the engine is calculated based on the charging electric energy, a power consumption of an auxiliary device, and a driving torque. When the state of charge is greater than or equal to the lower limit value and less than or equal to the upper limit value, the required torque is calculated based on the charging electric energy and the driving torque, without taking the power consumption into consideration.

Abstract: Described herein is a system and method for preemptive chassis control intervention for an autonomous vehicle having a mechanical system and a chassis controller. The chassis controller is configured to output a consumption signal that represents a percentage of an activation threshold consumed by an operation monitored by the chassis controller, wherein the chassis controller is activated to manipulate the mechanical system when the activation threshold is reached. A computing system of the autonomous vehicle receives the consumption signal output by the chassis controller to determine a path plan for the autonomous vehicle based upon the percentage of the activation threshold consumed by the operation monitored by the chassis controller. The computing system further controls the mechanical system to execute the path plan to preempt activation of the chassis controller.

Abstract: A system is described that includes a controllable component of an engine configured to regulate fuel flow to the engine, a digital control unit configured to control the engine by at least communicating with the controllable component of the engine, and a protection component configured to disable communication between the digital control unit and the controllable component of the engine. The system further includes an analog control unit configured to control the engine by at least communicating with the controllable component of the engine in response to the protection component disabling communication between the digital control unit and the controllable component of the engine.

Abstract: A platooning controller and a method thereof include a processor configured to perform a platooning control and a communicator configured perform a vehicle-to-vehicle (V2V) communication in a platooning line. The processor calculates a waiting time for an expected departure of an outside vehicle based on surrounding information when the outside vehicle cuts in the platooning line during platooning. The processor forms a platoon again when the outside vehicle does not depart from the platooning line after the waiting time.

Abstract: A method and apparatus for processing a driving reference line, and a vehicle are provided. The method comprises: acquiring position information of at least one obstacle in a range covered by an original driving reference line; determining a safety range parameter based on the position information of the at least one obstacle; adjusting a coefficient of a polynomial curve corresponding to the original driving reference line based on the safety range parameter, to obtain an adjusted polynomial curve; and determining an adjusted driving reference line based on the updated polynomial curve. The safety problem of the driving reference line caused by the insufficient obstacle avoidance ability of the driving reference line is solved.

Abstract: A method for determining a load distribution in a powertrain of a motor vehicle, whereby the powertrain has at least two drive machines, whereby the first drive machine is provided for a front-wheel drive and the second drive machine is provided for a rear-wheel drive, whereby the method comprises: determining a load distribution characteristic map that is based on a first efficiency characteristic map of the first drive machine and on a second efficiency characteristic map of the second drive machine.

Abstract: The disclosed computer-implemented method may include routing personal mobility vehicles based on road or path conditions. In some embodiments, trip routing for personal mobility vehicles participating in a dynamic transportation network may leverage road condition map data gathered from personal mobility vehicle sensors to evaluate potential routes for personal mobility vehicles. In some examples, the method may account for the type and/or characteristics of the personal mobility vehicle when evaluating a potential route. In some examples, the method may account for user preferences when evaluating a potential route. The method may also make matching decisions for a dynamic transportation matching system and/or personal mobility vehicle distribution decisions for the dynamic transportation network based on the conditions of prospective routes. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: Disclosed is a driving support control device (ECU) 10 capable of controlling a vehicle 1 in accordance with any one selected from plural driving support modes by a driver. The driving support control device 10 is configured to temporally repeatedly calculate a target traveling course (R1 to R3) along which the vehicle 1 should travel, and to, in a given one (preceding vehicle following mode) of the driving support modes, execute control of causing the vehicle 1 to travel on and along the target traveling course, wherein the driving support control device 10 is operable, in a situation where a current position of the vehicle 1 deviates beyond a given distance dth laterally from the target traveling course, to, even when the driver selects the given driving support mode, prohibit transition to the given driving support mode.

Abstract: A gas detect ion system includes: a sending aerial vehicle in which a light-emitting unit is installed; a small unmanned aerial vehicle including a receiving aerial vehicle in which a light-receiving unit is installed; a gas computing and displaying unit that computes and displays gas information; and a photographing-route computing unit that computes a photographing route for the small unmanned aerial vehicle. The receiving aerial vehicle receives light from the light-emitting unit of the sending aerial vehicle by using the light-receiving unit thereof and sends the result as gas data to the gas computing and displaying unit. The gas computing and displaying unit computes the gas information from the gas data. The photographing-route computing unit computes the photographing route from the position of the small unmanned aerial vehicle and the amount of energy remaining in the small unmanned aerial vehicle.

Abstract: This vehicle seat control device is provided with a storage unit, a position detection unit, a control unit, and an operation order setting unit. The space on a seat occupied by a passenger sitting in the seat is a sitting passenger-occupied space, and during the execution of an automatic operation, the operation order setting unit is configured to set the operation order such that position adjustments of seat elements operated in the direction of advancing into the sitting passenger-occupied space are started at the same time as, or are started after, the starting of the position adjustments of the seat elements operated in the direction moving away from the sitting passenger-occupied space.

Abstract: A roving maintenance vehicle system includes a computing device having a processor and a non-transitory computer readable memory, a transceiver unit communicatively coupled to the computing device and a machine-readable instruction set stored in the non-transitory computer readable memory. The machine-readable instruction set causes the roving maintenance vehicle system to perform at least the following when executed by the processor: broadcast, via the transceiver unit, a notification of availability of the roving maintenance vehicle in an area, receive, via the transceiver unit, a status from one or more vehicles in response to the broadcast of the notification of the roving maintenance vehicle in the area, identify one or more vehicles that require service based on the status from the one or more vehicles, and dispatch the roving maintenance vehicle to a location of a first vehicle of the one or more vehicles that require service.

Abstract: An assist apparatus includes a second detection section, a first calculation section, and a notification section. The second detection section detects, as a region candidate which is a candidate for a region to which the own vehicle makes a lane change, one of one or more inter-vehicle regions sandwiched between two approaching vehicles one of which is located ahead of the other. The first calculation section calculates an acceptable distance, a vehicle A being one of the two approaching vehicles and having a relatively small relative distance to the own vehicle and a vehicle B being the other of the two approaching vehicles and having a relatively large relative distance to the own vehicle. The notification section notifies each approaching vehicle of a lane change intention, when the relative distance between the own vehicle and the vehicle A is less than the acceptable distance.

Abstract: Systems and methods for a remote vehicle light check of a host vehicle having a plurality of lights is provided. In one embodiment, a method includes detecting a lighting check signal at a host vehicle having lights. The lighting check signal is received from a trigger device. The method also includes triggering a light sequence in response to the lighting check signal being detected. The light sequence causes one or more lights of the plurality of lights to be activated. The method further includes activating the one or more lights based on the light sequence. The method further includes pausing the activation of the one more lights by a predetermined delay.

Abstract: A travel assistance device for assisting traveling of a subsequent vehicle following a vehicle group in the form of vehicle platooning, the travel assistance device being located in a last vehicle of a plurality of vehicles included in the vehicle group, the travel assistance device including: an information acquiring unit for acquiring information indicating right/left turning vehicles that turn right or left at an intersection among the vehicles and information indicating deceleration timing of a first vehicle from front among the right/left turning vehicles; and a direction indicator controlling unit for turning on a direction indicator of the last vehicle at the deceleration timing of the foremost right/left turning vehicle.

Abstract: Systems, methods, tangible non-transitory computer-readable media, and devices associated with vehicle control based on risk-based interactions are provided. For example, vehicle data and perception data can be accessed. The vehicle data can include the speed of an autonomous vehicle in an environment. The perception data can include location information and classification information associated with an object in the environment. A scenario exposure can be determined based on the vehicle data and perception data. Prediction data including predicted trajectories of the object can be accessed. Expected speed data can be determined based on hypothetical speeds and hypothetical distances between the vehicle and the object. A speed profile that satisfies a threshold criteria can be determining based on the scenario exposure, the prediction data, and the expected speed data, over a distance. A motion plan to control the autonomous vehicle can be generated based on the speed profile.

Abstract: Various technologies described herein pertain to generating a bid for turn priority at an intersection. An autonomous vehicle determines that the autonomous vehicle and a second autonomous vehicle are proximate to an intersection. The autonomous vehicle generates a first bid that is indicative of a first importance that the autonomous vehicle traverses the intersection. The first bid is based upon characteristics of a trip of a passenger riding in the autonomous vehicle. The autonomous vehicle transmits the first bid to a networked computing system, wherein the networked computing system determines a turn order based upon the first bid and a second bid generated by the second autonomous vehicle. The networked computing system transmits the turn order to the autonomous vehicle, wherein the autonomous vehicle operates based upon the turn order.

Abstract: A travel control method comprises: detecting a travelable road area of the road area in which the subject vehicle can travel; generating a potential field in a space of the travelable road area in which a potential value of a left-side boundary line and a right-side boundary line are set to different values from each other; calculating a travelable road area width by applying the Potential Method; comparing the difference between a lateral position of a travel route set on the basis of the calculated travelable road area width and a lateral position of the travel route set in advance in the travelable road area on the basis of the left-side boundary line or the right-side boundary line; correcting the potential value; regenerating the potential field set to the corrected potential value; generating the travel route applying the Potential Method to the regenerated potential field; executing autonomous travel control.

Abstract: A method for the self-check of at least one driving function of an autonomous or semi-autonomous vehicle in vehicle operation, after an error message about the at least one driving function, in which in one step, at least one vehicle electronic system and/or at least one sensor is/are restarted, a check is made for a further appearance of the error message after each restart, and in the event an error message is not repeated after the restart, the driving function in question is checked during operation of the autonomous or semi-autonomous vehicle.

Abstract: A vehicle interior system including a first seat assembly, disposed within a vehicle cabin, a first sensor, a second sensor, and a controller is provided. The first and second sensors may each be disposed within the vehicle cabin. The first sensor may be configured to obtain first signals indicative of a positioning of an obstacle within a predetermined coordinate system. The second sensor may be configured to obtain second signals indicative of a positioning of the first seat assembly within the predetermined coordinate system. The controller may be configured to receive the signals from the first sensor and to map a portion of the obstacle based on the first signals and relative to a portion of the first seat assembly within the predetermined coordinate system.