Abstract: In one embodiment, an exemplary method includes the operations of receiving, at a profiling application, a record file recorded by the ADV for a driving scenario in an area, and a high definition map matching the area; extracting planning messages and perception messages from the record file; and aligning the planning message and the perception messages based on their timestamps. The method further includes calculating an individual performance score for each planning cycle of the ADV for the driving scenario based on the planning messages; calculating a weight for each planning cycle based on the perception messages and the high definition map; and then calculating a weighted score for the driving scenario based on individual performance scores and their corresponding weights.

Abstract: An automated driving enabled vehicle includes a travel controller, an automated driving indicator lamp, and a lamp controller. The automated driving indicator lamp is switched on perceptibly from outside the vehicle on the occasion of automated driving. The lamp controller acquires, during the execution of the automated driving, information regarding a surrounding moving body present around the vehicle. The lamp controller makes a lighting control of the automated driving indicator lamp during the execution of the automated driving, in response to presence of any surrounding moving body around the vehicle executing the automated driving.

Abstract: A surrounding vehicle monitoring device includes an acquiring unit configured to acquire a midpoint between a rear left end position and a rear right end position of another vehicle, acquire a width of the other vehicle, and change a current position of a great change position to a corrected position and acquire a midpoint between a current position of a small change position and the corrected position as a position of the other vehicle in a case where a changing amount of the width is equal to or more than a first threshold. The great change position is one of the rear left end position and the rear right end position whose changing amount is the greater of the two. The small change position is another of the rear left end position and the rear right end position whose changing amount is the smaller of the two.

Abstract: A system for managing chassis and driveline actuators of a motor vehicle includes a control module executing program code portions that: cause sensors to obtain vehicle state information, receive a driver input and generate a desired dynamic output based on the driver input and the vehicle state information, and then estimate actuator actions based on the vehicle state information, generate one or more control action constraints based on the vehicle state information and estimated actuator actions, generate a reference control action based on the vehicle state information, the estimated actions of the one or more actuators and the control action constraints, and integrate the vehicle state information, the estimated actuator actions, desired dynamic output, reference control action and the control action constraints to generate an optimal control action that falls within a range of predefined actuator capacities and ensures driver control of the vehicle.

Abstract: An actuator apparatus includes an actuator, a setter, an operation controller, and an acquirer. The operation controller is configured to control the actuator to take out an object from a placement table. The actuator includes a suction nozzle configured to suck and hold the object. The acquirer is configured to acquire a difference between a first moment applied to the suction nozzle and a second moment applied to the suction nozzle when the object is taken out by the suction nozzle by a first taking-out movement distance. The operation controller is configured to control whether or not to further continue taking-out the object, based on the difference between the first moment and the second moment.

Abstract: An information output control method includes a step of deriving a driving load of a driver, based on a traveling environment or a driving state of the driver, a step of deciding to suggest a content that meets the derived driving load, to the driver, and a step of calculating a degree of acceptance of the suggested content by the driver. In the deciding step, the frequency of suggestion of the content or the type of the content is set based on the calculated degree of acceptance.

Abstract: A vehicle control device includes a behavior instability acquirer, an automated driving advisability determination unit, and a switching time setting unit. The behavior instability acquirer acquires behavior instability of a vehicle. The automated driving advisability determination unit determines whether to continue automated driving on the condition that the vehicle is performing the automated driving. On the condition that the automated driving advisability determination unit determines that the automated driving is noncontinuable, the switching time setting unit determines switching time from the automated driving to manual driving on the basis of the behavior instability.

Abstract: A method for identifying high-risk driving situations in driving data may include receiving driving data, identifying trigger events in the driving data, and using the trigger events in combination with first portions of the driving data corresponding to periods of time preceding the trigger events, training a machine learning model to identify features, in the driving data, associated with the trigger events. The method may further include using second portions of the driving data where no trigger events are identified, further training the machine learning model to ignore features common to both the first portions and the second portions. The method further includes detecting a high risk driving situation in real time driving data by using the machine learning model to identify the features associated with the trigger events, and performing a defensive driving maneuver in response to the detection of the high risk driving situation.

Abstract: A short-circuiting device according includes a short circuit that is electrically connected to a robot, the robot including a robotic arm and at least one motor, the robotic arm including at least one joint shaft that is provided with the respective at least one motor, the short circuit being provided separately from a robot controller configured to control the robot, the short circuit being configured to apply a dynamic brake to each motor.

Abstract: System, methods, and other embodiments described herein relate to skid recovery for a vehicle. In one embodiment, a method for controlling a vehicle during skid includes obtaining data indicating a skid condition of the vehicle, determining whether the skid condition can be corrected by counter-steering, and executing an intervention when the skid condition cannot be corrected by counter-steering, the intervention including inducing slippage in front wheels of the vehicle to change a direction and/or magnitude of lateral forces at the front wheels.

Abstract: A train movement authorization method includes obtaining, by a train, current task information from an automatic train supervision system; obtaining, by the train, current resource allocation information from a trackside resource management center; reckoning, by the train, a first train in an operation direction downstream of the train based on the received resource allocation information; sending, by the train, a location request to the first train in the operation direction downstream of the train based on an operation task of the train and responding to a location request of another train; calculating, by the train, movement authorization of the train based on train information sent by the first train downstream in the operation direction; and applying for, by the train, a corresponding line resource from the trackside resource management center based on the task of the train and a status of the calculated movement authorization.

Abstract: A driver monitoring system configured to monitor the performance of a driver of a vehicle communicating wirelessly with the driver monitoring system. The system comprises a driver behavior module that receives from the vehicle event data captured by a plurality of sensors in the vehicle and identifies at least one of a plurality of driver behaviors. A behavior characterization module receives from the driver behavior module the at least one identified driver behavior and characterizes the at least one identified driver behavior into at least one of a plurality of behavior categories. A risk assessment module analyzes the at least one characterized driver behavior in the plurality of behavior categories and determines therefrom a driver profile that may include a risk assessment for the driver of the vehicle system.

Abstract: Determining head orientation and/or position of a vehicle occupant includes determining a first detection range for head orientations and/or positions of a first imagining sensor located in the vehicle interior based on various head orientations and/or positions in relation to the location of the first sensor, determining the second detection range of the second imaging sensor for head orientations and/or positions based on various head orientations and/or positions in relation to the position of the second sensor, and, based on the head orientation and/or position of the vehicle occupant, determining the head orientation and/or position with that sensor that has a detection range in which the head orientation and/or position can be better determined than in the detection range of another sensor.

Abstract: A suspension control system includes: a first electric current setting unit configured to set a first electric current based on an actual damping speed; a second electric current setting unit configured to set a second electric current based on a model damping speed; a weight coefficient setting unit configured to set a weight coefficient based on the actual damping speed; and a target electric current setting unit configured to set a sum of a first value and a second value as a target electric current of the damper, the first value being obtained by multiplying the second electric current by the weight coefficient, the second value being obtained by multiplying the first electric current by a value obtained by subtracting the weight coefficient from one. The first electric current setting unit is configured to make the first electric current smaller than the second electric current in a prescribed case.