Abstract: An information provision system is configured to detect driver information, which is information including biological information of a driver, transmit information acquired inside the vehicle to a user terminal provided outside the vehicle, acquire the driver information, extract information necessary for grasping health condition of the driver from the driver information to generate health-related information, and transmit the health-related information to the user terminal.

Abstract: A driving operation determiner is configured to: based on brake operation information representing whether or not a brake pedal of a vehicle is pressed, lever operation information representing whether or not a turn signal lever of the vehicle is operated, and vehicle speed information of the vehicle, determine whether a first specific condition is satisfied, the first specific condition being satisfied in a case in which, in a state in which the vehicle is capable of forward travel, the brake pedal of the vehicle changes from an unpressed state to a pressed state and the turn signal lever is not operated; and determine whether, within a predetermined set duration of time from a first time at which the first specific condition is satisfied, the turn signal lever is operated and a maximum value of a vehicle speed of the vehicle is a first threshold value or greater.

Abstract: The present disclosure relates to an electric vehicle energy management method based on bend prediction, a terminal device, and a storage medium. The method includes the following steps: S1. counting an average acceleration av of vehicle decelerations; S2. acquiring bend information of a road ahead by an e-horizon system; S3. predicting energy recovery amount during cornering based on the bend information and a maximum cornering speed of a vehicle; and S4. adjusting a logic threshold value for current driving based on the predicted energy recovery amount. With the method of the present disclosure, a supercapacitor can output more energy in advance based on energy likely to be recovered during cornering ahead, so as to free up energy recovery space and to recover energy during cornering, which can reduce power output of a battery, ensure energy recovery, and play a positive role in loss reduction and energy-saving control.

Abstract: A base plate system includes at least one base plate configured to support at least one accessory and at least one sensor that is configured to determine at least one characteristic of the at least one accessory and/or the at least one base plate. A controller uses the at least one characteristic to estimate a stress and/or strain caused by the at least one accessory on the at least one base plate and predicts how the stress and/or strain could change depending on position of the at least one accessory and/or orientation of the at least one base plate within a vehicle.

Abstract: A system and method that provide a recommendation service to a user within a vehicle are provided. According to the method, a current emotional state of the user in the vehicle is detected in real time by an emotional detection device of the system; a recommendation service that conforms to a behavior habit of the user is determined by a recommendation engine of the system based on the current emotional state of the user in conjunction with a profile of the user, wherein the profile of the user is generated by analyzing historical data of the user when using a third-party service; and the recommendation service is outputted on the vehicle by an output device of the system.

Abstract: A calibration device for calibrating a driver assistance system. The calibration device includes a calibration board and two optically active elements, which make it possible to determine the position and/or the alignment of a motor vehicle with respect to the calibration device. The two optically active elements are attached at two mutually opposing ends of a holding device. The holding device has a longitudinal axis, which essentially extends in the horizontal direction. An acceleration sensor is attached at each of the two mutually opposing ends of the holding device.

Abstract: Techniques are disclosed for performing hybrid simulation operations with an autonomous vehicle. A method of testing autonomous vehicle operations includes receiving, by a computer, a pre-configured scenario that includes one or more simulation parameters and one or more initial condition parameters, sending, to the autonomous vehicle and based on the one or more initial condition parameters, control signals that instruct the autonomous vehicle to operate at an operative condition, and in response to determining that the autonomous vehicle is operating at the operative condition, performing a simulation with the one or more simulated objects and the autonomous vehicle to test a response of the autonomous vehicle.

Abstract: Primary/secondary controller management techniques for a network include determining, by a secondary controller of a set of secondary controllers on the network, a set of housekeeping activities/tasks to be completed before shutdown of the secondary controller, communicating, by the secondary controller with a primary controller on the network, to keep the primary controller awake until the secondary controller completes the set of housekeeping activities/tasks, wherein the primary controller is configured to control and/or supervise the set of secondary controllers on the network, completing, by the secondary controller, the set of housekeeping activities/tasks irrespective of a shutdown command received from the primary controller, and upon completing the set of housekeeping activities/tasks, communicating, by the secondary controller with the primary controller, such that the primary controller shuts down and then independently shutting down itself to mitigate or eliminate errors/malfunctions due to any in

Abstract: The present disclosure relates to a method for state estimation of a target comprising: obtaining an observation variable of the target at different moments through a plurality of sensors, wherein at least one observation variable is acquired by each sensor; determining a state variable of the target at different moments based on the observation variable; and optimizing the state variable of the target by minimizing a loss function. The loss function includes at least one of a position loss, an orientation loss, a velocity loss, a size loss, or a structural constraint of the target. The method of the present disclosure may obtain a sufficiently accurate state estimate. In addition, an apparatus, an electronic device, and a medium for state estimation of the target are also provided.

Abstract: A vehicle control system includes a driving controller that switches between autonomous driving an manual driving of a vehicle, a seat whose form is changed between a form during autonomous driving and a form during manual driving that are different from each other, and a seat controller that controls motion of the seat when a form of the seat is changed. If the seat is in a form during autonomous driving, the driving controller does not switch autonomous driving to manual driving when controlling the vehicle.

Abstract: Systems and methods for controlling a failover response of an autonomous vehicle are provided. In one example embodiment, a method includes determining, by one or more computing devices on-board an autonomous vehicle, an operational mode of the autonomous vehicle. The autonomous vehicle is configured to operate in at least a first operational mode in which a human driver is present in the autonomous vehicle and a second operational mode in which the human driver is not present in the autonomous vehicle. The method includes detecting a triggering event associated with the autonomous vehicle. The method includes determining actions to be performed by the autonomous vehicle in response to the triggering event based at least in part on the operational mode. The method includes providing one or more control signals to one or more of the systems on-board the autonomous vehicle to perform the one or more actions in response to the triggering event.

Abstract: When there is a new driving assistance function for a registered driver, which is a driving assistance function enabled for the first time for the relevant registered driver among a plurality of driving assistance functions to be enabled for registered drivers, a test executor executes a driving ability test according to the new driving assistance function for the relevant registered driver. A personalization setter determines recommended setting values of the new driving assistance function based on the result of the driving ability test.

Abstract: A personalization setting unit requests a new driver for setting whether to use a personalization function that is able to change a set value of a driver assistance function to a recommended value for each driver assistance function when the new driver is registered in a driver information registration unit.

Abstract: A driver information registration unit can register driver information of a vehicle. A personalization data storage unit (registered driver data storage unit) stores a driving history for each registered driver who is a driver registered in the driver information registration unit. An additional function extraction unit extracts an additional assistance function that is a driver assistance function that can be newly added for each registered driver based on the driving history. A display control unit can output a proposal image that proposes the registered driver an acquisition of the additional assistance function to a center panel display (display unit).

Abstract: A vehicle information processing device includes: a reception unit that receives a selection of a user of an introduction mode of a setting related to driving assistance of a vehicle; and a setting change unit that applies the setting to the vehicle under a predetermined condition in accordance with the selection by the user, the selection being a selection that has been received by the reception unit, when the user selects an introduction mode for trial usage in which the setting is applied to the vehicle under the predetermined condition.

Abstract: A roll-over alert system for a vehicle when navigating a curve in a road. The system includes a transceiver, a memory, and a control module. The transceiver is configured to receive a map message including a general curve speed recommendation for the curve. The memory is configured to store the map message and vehicle-specific data relevant to safely navigating the curve. The control module is configured to: (i) calculate a vehicle-specific curve speed based on the vehicle-specific data and the general curve speed recommendation included in the map message; and (ii) generate an alert to an operator of the vehicle when an actual vehicle speed exceeds the vehicle-specific curve speed during navigation of the curve by the vehicle.

Abstract: An example operation includes one or more of receiving an image of an object to place into a vehicle, determining a bounding area of the object based on the received image, determining a location in the vehicle to place the object based on the bounding area, and sending the determined location to be displayed.

Abstract: A personalization setting unit sets enable and disable of a personalization function that allows the set value to be changed to a recommended value for each of the driver assistance functions and for each driver registered in the driver information registration unit. A recommended value calculation unit obtains the recommended value based on driving-related information of the driver including a driving history. A change condition setting unit sorts a plurality of the recommended values into an approval type recommended value that requires an approval of the driver and an automatic change type recommended value that does not require the approval of the driver. A display control unit is able to display an approval screen for the approval type recommended value on a center display that is a display unit, and suspends display of the approval screen while the vehicle is traveling.

Abstract: Various technologies described herein pertain to causing presentation on a user interface of an immediate portion of a navigation route of an autonomous vehicle. A computing system of the autonomous vehicle determines whether an object detected by sensor(s) of the autonomous vehicle proximate to the immediate portion of the navigation route are of a type and relative position defined as one of consequential and inconsequential for a human passenger. In response to determining that an object has both a type and relative position defined as consequential, the computing system causes presentation on the user interface a representation of the object relative to the immediate portion of the navigation route to provide a confidence engendering indication that the autonomous vehicle has detected the object. Otherwise if inconsequential, presentation on the user interface of any representation of the object is not caused by the computing system to avoid creating a confusing presentation.

Abstract: There is disclosed herein a method of providing customer service, including receiving a customer service request from an autonomous vehicle (AV), the customer service request comprising sensor data collected by the AV; selecting a standard operating procedure (SOP) for responding to the customer service request, the SOP selected from a data store comprising a plurality of SOPs, wherein selecting the SOP is based at least in part on the sensor data from the AV, and wherein the SOP includes a human-usable resolution script; and handling the customer service request, including displaying the human-usable resolution script to a human customer service agent to assist the human customer service agent in handling the customer service request.

Abstract: This document discloses system, method, and computer program product embodiments for anticipating an imminent state of a school transportation vehicle. For example, the method includes receiving sensor data of an environment near an autonomous vehicle. The method further includes, in response to the sensor data including a representation of a school transportation vehicle, analyzing the sensor data to estimate, from a set of candidate states, a current state of the school transportation vehicle, wherein the candidate states include an actively loading or unloading state, an imminently loading or unloading state, and an inactive state. The method further includes, in response to the estimated current state being either the actively loading or unloading state or the imminently loading or unloading state, causing the autonomous vehicle to slow or stop until the school transportation vehicle is in the inactive state.

Abstract: This document discloses system, method, and computer program product embodiments for estimating the state of a school transportation vehicle. For example, the method includes capturing sensor data that includes information about an environment of an autonomous vehicle. The method further includes detecting a school transportation vehicle in the sensor data, receiving a list of indicators associated with a set of candidate states for the school transportation vehicle, and analyzing data from one or more sources to determine indicator values. The method further includes using the indicator values to compute a probability mass function that includes a likelihood that the school transportation vehicle is in each of the candidate states. The method further includes imposing one or more goals on a motion control system of the autonomous vehicle based on the probability mass function and causing the autonomous vehicle to operate according to the one or more goals.

Abstract: According to some embodiments, systems, methods and media for operating an autonomous driving vehicles (ADV) in an unforeseen scenario are disclosed. In one embodiment, an exemplary method includes determining that the ADV has entered an unforeseen scenario; and identifying one or more surrounding vehicles that are navigating the unforeseen scenario. The method further includes generating a trajectory by mimicking driving behaviors of one or more of the one or more surrounding vehicles; and operating the ADV to follow the trajectory to navigate the unforeseen scenario.

Abstract: Provided are methods and systems for semantic behavior filtering for prediction improvement. A method for operating an autonomous vehicle, is provided. The method includes obtaining, by at least one processor, semantic image data associated with an environment where an autonomous vehicle is operating. The method includes determining, by the at least one processor, a set of agents in the environment based on the semantic image data. The method includes determining a set of predicted actions for at least one agent of the set of agents. The method includes determining, from the set of predicted actions, a set of secondary predicted actions for the at least one primary agent using semantic data. The method includes determining, from the set of predicted actions, a set of primary predicted actions other than secondary predicted actions The method includes generating a path for the autonomous vehicle based on the set of primary predicted actions.

Abstract: Provided are methods and systems for semantic behavior filtering for prediction improvement. A method for operating an autonomous vehicle is provided. The method includes obtaining, by at least one processor, semantic image data associated with an environment in which an autonomous vehicle is operating. The method includes determining, by the at least one processor a set of agents in the environment based on the semantic image data. The method includes determining, by the at least one processor, a set of secondary agents from the set of agents based on a relative location of a respective secondary agent to a respective object and a set of object semantic behavior data associated with the respective object. The method includes determining, from the set of agents, a set of primary agents other than secondary agents. The method includes generating a path for the autonomous vehicle based on the set of primary agents.

Abstract: A system perceives an environment of an autonomous driving vehicle (ADV) based on a plurality of sensors and map data. The system determines an obstacle in the perceived environment to be a moving vehicle and the moving vehicle is to a left lane, to a right lane, or in front of the ADV. The system performs an inference on the obstacle using a neural network model to determine whether a behavior of the obstacle is anomalous. The system determines the obstacle is anomalous based on the performed inference.

Abstract: A method includes obtaining road patch type data associated with at least one road patch type, deriving, from the road patch type data, a set of road patch type parameters for the at least one road patch type, generating, based on the set of road patch type parameters, a set of risk metrics, each risk metric of the set of risk metrics corresponding to a respective road patch type parameter of the set of road patch type parameters, identifying, based at least in part on the set of risk metrics, a set of autonomous vehicle (AV) motion planning constraints selected for the at least one road patch type, and providing the set of AV motion planning constraints to update motion planning functionality performed by at least one component of an AV.

Abstract: An intelligent driving system (10). A vehicle-mounted subsystem (100), a road subsystem (200), and a platform subsystem (300) are provided, wherein traffic information of each road section is acquired in real time by using the road subsystem (200), and traveling paths of vehicles in each road section are obtained according to the traffic information; the platform subsystem (300) comprehensively obtains, according to the traffic information of each road section, traffic information of the entire administrative area, and the optimal traveling path; and the vehicle-mounted subsystem (100) provides a traveling path on the basis of the road subsystem (200) and the platform subsystem (300), controls an operation state of the current vehicle in view of a traveling state of itself, and performs traveling path planning according to actual road conditions of each road section, thereby improving the accuracy of traveling path planning and the safety of automatic driving.

Abstract: A computer implemented method for evaluating autonomous vehicle safety that includes defining criteria for safety of autonomous vehicles in a test space, and dividing the test space into an intended test space and a un-intended test space for the criteria for safety of autonomous vehicles. The intended test space includes characterizations for the autonomous vehicle that can be quantified, and the un-intended test space includes characterizations that are not quantifiable. The method further includes measuring the safety of the autonomous vehicles in the intended test space. The applying the un-intended test space is applied to the intended test space as feedback into the intended test space; and evaluating the intended test space including the feedback from the unintended test space using a combined simulation of peripheral vehicles and autonomous vehicles to provide the evaluation of autonomous vehicle safety.

Abstract: Systems and methods of model or prediction algorithm selection are provided. An autonomous control system may include a perception component that, based on environmental inputs regarding an object(s), a vehicle's operating characteristics, etc., outputs a current state of the vehicle's surrounding environment. This in turn, is used as input to a prediction component comprising a plurality of prediction algorithms. The prediction component outputs a set of predictions regarding the trajectory of the object(s). Accordingly, for each object, a set of trajectories at specific timesteps may be generated by the different prediction algorithms which are input to a planner component. These trajectories may then be analyzed, compared, or otherwise processed to determine which trajectory regarding the object is most accurate. The prediction algorithm or model that produced the most accurate predicted trajectory may then be used for subsequent predictions/timesteps.

Abstract: Vehicles and related systems and methods are provided for controlling a vehicle in an autonomous operating mode. One method involves a controller associated with a vehicle identifying a visual attention state associated with a driver of the vehicle based at least in part on output of an imaging device onboard the vehicle, determining, based at least in part on the visual attention state, a driver lane preference corresponding to an adjacent lane in a visual attention direction relative to a current lane of travel for the vehicle, adjusting a priority associated with the adjacent lane corresponding to the driver lane preference and autonomously operating one or more actuators onboard the vehicle to initiate maneuvering the vehicle from the current lane in a manner that is influenced by the adjusted priority associated with the adjacent lane.

Abstract: Particular embodiments described herein provide for a system and method to help enable a towing vehicle. In an example, the system can identify a location of the disabled vehicle, deploy the towing vehicle to the location of the disabled vehicle, where the towing vehicle uses sensor data from a sensor suite and a perception module to navigate to the location of the disabled vehicle, and use the towing vehicle to tow the disabled vehicle to a new location.

Abstract: Provided are methods and systems for corridor/homotopy scoring and validation. A method for operating an autonomous vehicle, is provided. The method includes obtaining sensor data associated with an environment in which an autonomous vehicle is operating and determining, by the at least one processor, a set of agents in the environment based on the sensor data. The method includes determining, by the at least one processor, a plurality of sets of navigation options for the autonomous vehicle, wherein each set of navigation options includes a first navigation option and a second navigation option, and wherein at least one set of navigation options is associated with at least one agent of the set of agents. The method includes selecting a plurality of navigation options from the plurality of sets of navigation options and generating a corridor for the autonomous vehicle based on the plurality of selected navigation options.

Abstract: In some examples, a system may determine a plurality of candidate routes between a source location and a destination location for a vehicle, and may segment each candidate route into multiple road segments. Further, the system may receive vehicle computing resource information and sensor configuration information for the vehicle. The system may determine that at least one of the sensor configuration or the computing resources on board the vehicle fails to satisfy a threshold associated with autonomous navigation of a road segment of a first candidate route of the plurality of candidate routes. The system may select, for the vehicle, the first candidate route based at least on determining that a computing device external to the vehicle is scheduled to perform at least one computational task for the vehicle to enable the vehicle to meet the threshold associated with autonomously navigating the road segment of the first candidate route.

Abstract: An autonomous vehicle includes sensor subsystem(s) that output a sensor signal. A perception subsystem (i) detects an agent in a vicinity of the autonomous vehicle and (ii) generates a motion signal that describes at least one of a past motion or a present motion of the agent. An intention prediction subsystem processes the sensor signal to generate an intention signal that describes at least one intended action of the agent. A behavior prediction subsystem processes the motion signal and the intention signal to generate a behavior prediction signal that describes at least one predicted behavior of the agent. A planner subsystem processes the behavior prediction signal to plan a driving decision for the autonomous vehicle.

Abstract: Provided are a method determining a driving plan for an autonomous vehicle on the basis of road user prediction, a computing device for performing the same, and a recording medium on which a program for performing the same is recorded. The method performed by a computing device includes generating first prediction data including prediction results about a plurality of road users near an autonomous vehicle, generating second prediction data including only a prediction result about at least one of the plurality of road users, and determining a driving plan for the autonomous vehicle using the generated first prediction data and the generated second prediction data.

Abstract: Described is a transportation system apparatus and method of operation. An exemplary transportation system includes an elevated track and a vehicle coupled with and operable to traverse the elevated track. In certain aspects, the vehicle comprises a novel chassis configured and arranged for safely navigating banked turns. In certain embodiments, a front wheel assembly having a pivot with an axle arm moves in three dimensions and allows for side to side and banking, and in other embodiments, a rear wheel assembly moves in two dimensions and comprises a rear differential. In another embodiment, a circuit board controls the vehicles wirelessly, and receives GPS information and redundant position information.

Abstract: A system for storing and transporting storage containers includes an automated storage and retrieval grid including vertical members defining multiple storage columns for storing storage containers on top of each other in vertical stacks. The vertical members are interconnected at their upper ends by a container handling vehicle rail system arranged to guide at least one container handling vehicle being configured to raise storage containers from, and lower storage containers into, the storage columns, and to transport the storage containers above the storage columns.

Abstract: A method and control system includes controlling operation of a vehicle system according to a first set of operating conditions while the vehicle system is moving along a route. The vehicle system including plural vehicles with two or more vehicles of the vehicle system contributing a predetermined amount of effort to propel the vehicle system to move along the route based on the first set of operating conditions. Responsive to determining a revised amount of effort that at least one of the two or more vehicles of the vehicle system needs to contribute to propel the vehicle system to control one or more performance variables of the vehicle system, the vehicle system may be automatically controlled according to a second set of operating conditions. At least one vehicle may contribute the revised amount of effort while the vehicle system operates according to the second set of operating conditions.

Abstract: A method for modular manufacturing of a car body shell of a rail vehicle includes manufacturing at least two directly adjoining large assemblies of the car body shell in parallel. The large assemblies are selected from among the group including an underframe, a side wall, a roof, an end wall, and a head of the body. The at least two large assemblies manufactured in parallel as described above are joined by structural adhesive bonding. A car body shell of a rail vehicle manufactured by the method is also provided.

Abstract: A system for connecting a center sill to a draft sill in a railcar includes a center sill portion that includes a center sill portion top plate, a draft sill portion that includes a draft sill top plate, the draft sill portion having a draft sill cross-section larger than a center sill cross-section of the center sill portion. The system further includes a transition portion between the center sill portion and the draft sill portion, the transition portion includes a transition portion top plate, wherein the transition portion top plate is the same plate as at least one of the center sill portion top plate and the draft sill portion top plate. A method for connecting the center sill to the draft sill in a railcar includes forming the transition portion between the center sill portion and the draft sill portion.

Abstract: A rail testing system comprises a proximal mobile track system and a distal mobile track system. Each of the proximal mobile track system and the distal mobile track system are movable in a horizontal direction and a vertical direction. A carriage is movably coupled to the proximal mobile track system and the distal mobile track system. The system has a sensor pod comprising a roller search unit. The sensor pod is configured to lock to the carriage for testing of a rail. The system includes a sensor array comprising time of flight sensors. The sensor array is usable to maintain an alignment of the roller search unit with the rail.

Abstract: A vehicle control system and method may include one or more processors that may receive a data set associated with plural waypoint locations along one or more routes. The data set may indicate plural waypoint locations, target arrival time windows for a vehicle system to reach the plural waypoint locations, and priority ranks of the plural waypoint locations. The processors may create and/or adjust a pacing trip plan based on the data set. The pacing trip plan may designate one or more operational settings of the vehicle system as a function of time, distance, and/or location. The pacing trip plan may be created and/or adjusted to direct the vehicle system to reach one or more of the plural waypoint locations within the corresponding target arrival time windows.

Abstract: A method and an apparatus for a train control installation are disclosed, and are based on the absolute permissive block concept. The train control installation employs a plurality of generic absolute block signal units (ABSU), wherein each signal unit includes means for detecting the crossing of a train passed a discrete point, means for exchanging data with adjacent ABSUs, means for generating and communicating a movement authority limit to a train, means for generating and displaying a signal indication, and means for enforcing a stop aspect. The train control installation can be used in conjunction with a communication based train control (CBTC) system to provide a degraded mode of operation without impacting the availability and the reliability of the CBTC system. Further, the train control installation has a self-healing feature to maintain train service during an ABSU failure.

Abstract: A tilting shelf system for a mobile support includes a shelf pivotably coupled to the mobile support. A handle coupled to the shelf may be actuated by a user between locked and unlocked positions to urge a securing member between secured and unsecured positions. While the securing member is in the unsecured position, the shelf is rotatable relative to the mobile support to be adjusted into a desired tilted or angled orientation. Once in the desired orientation, the user may actuate or release the handle to urge the securing member into the securing position, thus fixing the orientation of the shelf relative to the mobile support. A biasing member coupled to the shelf and attachable to the mobile support, produces a biasing force to aid in moving the shelf as the biasing member extends and retracts in response to movement of the shelf relative to the mobile support.

Abstract: A steering wheel includes a boss portion disposed at a rotation steering center side, a grip portion disposed around the boss portion, and an operation lever portion disposed between the boss portion and the grip portion. The operation lever portion is pivotally supported by a rotation shaft portion provided close to the boss portion, and is configured to allow a press-down operation and a pull-up operation while the grip portion is gripped. A press-down operation surface of the operation lever portion is disposed along a grip surface being an upper surface of the grip portion, at a side separated from the rotation shaft portion and close to the grip portion, between the grip surface and an upper surface of a pad covering an upper surface of the boss portion. The rotation shaft portion is disposed above a lower end surface of the grip portion to be covered with the pad.

Abstract: A steering wheel includes: a steering portion which is gripped and steered by a driver; a boss portion which is disposed inside the steering portion and is coupled to a steering center shaft of the steering portion; and an operation portion which is disposed adjacent to the steering portion, and is configured to be swingable with respect to the steering portion, to input an accelerator operation by being operated to swing in a first direction with respect to the steering portion, and to input a brake operation by being operated to swing in a second direction opposite to the first direction.

Abstract: A steering wheel, including a steering wheel rim and a steering wheel support, the steering wheel rim being movable relative to the steering wheel support, and the steering wheel rim being mounted rotatable about a first axis of rotation. The steering wheel further includes: a pivot shaft, fixedly connected to the steering wheel rim so as to move together with the steering wheel rim, the pivoting of the pivot shaft about a second axis of rotation causing the steering wheel rim to rotate about the second axis relative to the steering wheel support, wherein the first axis is perpendicular to the second axis; and a transmission mechanism, configured to be drivingly connected to the pivot shaft and configured to transmit power to the pivot shaft when driven by a driving apparatus so that the pivot shaft pivots about the second axis.

Abstract: A vehicle an instrument panel, a first actuator moving the instrument panel in a front-rear direction, a steering part provided in the instrument panel movable in the front-rear direction, a second actuator moving the steering part relatively with respect to the instrument panel, a microprocessor controlling the first actuator and the second actuator, and a memory previously storing a target instrument panel position and a target steering position in association with a driver. The microprocessor is configured to perform the controlling including determining whether the driver has started a driving operation, and when it is determined that the driver has started the driving operation, controlling the first actuator and the second actuator so that the instrument panel and the steering part are respectively located in the target instrument panel position and the target steering position stored in the memory.

Abstract: The present disclosure relates to an adjustable steering column for a motor vehicle, comprising a support unit by which a positioning unit is adjustably held, and an adjustment device which is designed to adjust the positioning unit relative to the support unit. Associated with the steering column is a control unit which is designed to receive a signal, to evaluate the signal in terms of a predefined release condition, and to produce a release state of the steering column when the signal meets the release condition, and to produce a locked state of the steering column when the signal does not meet the release condition. Adjustment of the positioning unit is thus enabled exclusively in the release state.