Abstract: Methods, computing systems, and technology for automated vehicle action generation are presented. For example, a computing system may be configured to receive context data associated with a plurality of user interactions with a vehicle function of a vehicle. The context data may include data indicative of a plurality of user-selected settings for the vehicle function and data indicative of observed conditions associated with the respective user-selected settings. The computing system may be configured to generate, using a machine-learned clustering model, a user-activity cluster for the vehicle function based on the context data. The computing system may be configured to determine an automated vehicle action based on the user-activity cluster.

Abstract: An automatic parking assistance system, an in-vehicle device and an automatic parking assistance method. The in-vehicle device comprises a communication interface for receiving a parking navigation path and traffic information; and a parking controller coupled with the communication interface, the parking controller being configured to: acquire the traffic information and the parking navigation path; control vehicle parking maneuvers based on the parking navigation path; judge whether there is a potential collision object with respect to the vehicle based on the traffic information; in the case that the judgment indicates there is no potential collision object, control the vehicle to travel along the parking navigation path; in the case that the judgment indicates there is a potential collision object, determine a danger level of the potential collision object based on the traffic information and determine safety measures corresponding to the danger level.

Abstract: An adaptive force vehicle airbag (AFVA) system includes airbag(s) stowed in a compressed state within an interior of a vehicle. An impact sensor detects a change in motion of the vehicle indicative of a collision. Selectable force gas generator(s) (SFGGs) gas-generating propellant cells that are individually fired. The SFGGs have conduit(s) that receive gas from fired gas-generating propellant cells and direct the gas to inflate at least one of the airbag(s). A controller is communicatively coupled to the inflation initiating component and the gas-generating propellant cells of the SFGGs. The controller enables the AFVA system to: (i) receive an inflation signal from the impact sensor; and (ii) fire a selected number of the gas-generating propellant cells to at least partially inflate the at least one airbag.

Abstract: A computer implemented security method operable with a communications network in a vehicle, the network communicatively connecting devices including sensors and actuators in the vehicle such that information provided by sensors and states of actuators are determinable by data communicated via the network, the method including defining a Markov decision process model for the vehicle, the model specifying states of the vehicle and actions constituting transitions between states, wherein a state of the vehicle is indicated by information provided by one or more sensors and a state of one or more actuators, and an action corresponds to a change in the information provided by one or more sensors and/or a change to a state of one or more actuators, each action having associated a probability of occurrence; determining, by accessing data communicated via the network, a current state of the vehicle in the model; accessing data communicated via the network; responsive to the accessed data indicating an action to chang

Abstract: The systems and methods described herein can include a digital assistant application that receives sensor signals from sensors installed in a vehicle and determines an entry event into the vehicle. The digital assistant application can receive, responsive to the entry event into the vehicle, a plurality authentication input signals from a plurality of sensors associated with the vehicle. The digital assistant application can determine a plurality of authentication states based on the plurality of authentication input signals and a plurality of authentication credentials. The digital assistant application can identify an access permission level of a plurality of access permission levels based at least in part on the plurality of identifies authentication states. The digital assistant application can identify, responsive to the access permission level, a subset of a set of functionalities available via the vehicle, and provide vehicular access to the subset of functionalities.

Abstract: A vehicle state estimation device for a vehicle provided with an inertial measurement sensor and a wheel speed sensor includes: a vehicle state estimation unit that estimates a vehicle state including a vehicle velocity based on an acceleration and an angular velocity acquired by the inertial measurement sensor and a wheel speed acquired by the wheel speed sensor; and a determination unit that determines whether a wheel is slipping. The estimation unit estimates a steady-state vehicle velocity based on the wheel speed and calculates a transient vehicle velocity by time integration based on the acceleration and the angular velocity. When the wheel is slipping, the estimation unit decides an estimated value of the vehicle velocity to be close to the transient vehicle velocity, and when the wheel is not slipping, the estimation unit decides the estimated value of the vehicle velocity to be close to the steady-state vehicle velocity.

Abstract: A vehicle seat comprises a seat component having a contour; wherein the contour changes when at least a portion of a user's body is in contact with the seat component and at least one multibend sensor operatively connected to the seat component and adapted to at least partially conform to the contour of the seat component; the at least one multibend sensor comprising a signal generation source adapted to transmit signals and a signal receiver adapted to receive at least some of the transmitted signals. The seat further comprises a signal processor operatively connected to the signal receiver, the signal processor adapted to make at least one measurement associated with the received signals; and, a sensing module operatively connected to the signal processor and configured to use the at least one measurement to determine information regarding the contour of the seat component.

Abstract: A computer, including a processor and a memory, the memory including instructions to be executed by the processor to acquire a first image from a first camera by illuminating a first object with a first light and determine an object status as one of a real object or a counterfeit object by comparing a first measure of pixel values corresponding to the first object to a threshold.

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 computer-implemented method for implementing electronic control unit (ECU) testing optimization includes capturing, within a neural network model, input-output relationships of a plurality of ECUs operatively coupled to a controller area network (CAN) bus within a CAN bus framework, including generating the neural network model by pruning a fully-connected neural network model based on comparisons of maximum values of neuron weights to a threshold, reducing signal connections of a plurality of collected input signals and a plurality of collected output signals based on connection weight importance, ranking importance of the plurality of collected input signals based on the neural network model, generating, based on the ranking, a test case execution sequence for testing a system including the plurality of ECUs to identify flaws in the system, and initiating the test case execution sequence for testing the system.

Abstract: An apparatus for operating an airbag of an autonomous vehicle may include: an interior image sensor configured to capture an interior image of a vehicle; an input unit configured to receive collision prediction information from an autonomous driving system and the interior image from the interior image sensor; an airbag module installed at the front and side of the interior of the vehicle, and configured to deploy an airbag; and an airbag control unit configured to estimate the sitting position and dynamic behavior of the passenger from the interior image inputted from the input unit, estimate a collision status from the collision prediction information, determine an airbag to be deployed and a time to deploy the airbag according to the sitting position, and then output a deployment signal to the airbag module.

Abstract: An apparatus for controlling autonomous driving includes: a processor to determine a travelling situation and a lane position, and determine an autonomous driving control maneuver of a vehicle depending on the determination result, and a non-transitory storage medium to store a result calculated by the processor and a set of instructions executed by the processor. The processor determines a safety of each lane of a road on which the vehicle is travelling to control the vehicle to stop on a lane representing a highest safety, after starting a minimum risk maneuver of the autonomous driving control maneuver.

Abstract: A collision avoidance method for a vehicle includes monitoring a lateral distance between the vehicle and a target vehicle while the vehicle is travelling within a first lane and the target vehicle is travelling within an adjacent second lane, activating a warning on the vehicle and automatically adjusting operation of the vehicle to increase the distance between the vehicle and the target vehicle when the lateral distance between the vehicle and the target vehicle is less than the threshold distance while the vehicle is travelling within the first lane. Automatically adjusting operation of the vehicle may include one or both of steering the vehicle laterally away from the target vehicle and adjusting a longitudinal velocity of the vehicle. A related collision avoidance system is also provided.

Abstract: Aspects of the disclosure relate to models for estimating the likelihood of fatigue in test drivers. In some instances, training data including videos of the test drivers while such test drivers are tasked with monitoring driving of a vehicle operating in an autonomous driving mode may be identified. The training data also includes driver drowsiness values generated from one or more human operators observing the videos. The training inputs and outputs may be used to train the model such that when a new video of a first test driver is input into the model, the model will output an estimate of a likelihood of fatigue for that test driver.

Abstract: An emergency braking system of a single-track vehicle configured to intervene in a braking process of the single-track vehicle includes a plurality of sensors that determine various physical variables. From the physical variables an accident risk actual value is determined, compared with an accident risk target value using an emergency braking system control unit, and if the accident risk actual value exceeds the accident risk target value, the single-track vehicle's brake is actuated by the emergency braking system control unit.

Abstract: Methods and systems are provided for integratedly managing a vehicle operation state. A vehicle integration management method performed by a server implemented by using a computer may include receiving vehicle operation data related to an operation state of the vehicle from a vehicle terminal mounted or embedded in the vehicle; and providing a service related to the vehicle operation data through a dedicated application on a user terminal used by a user of the vehicle. The providing may provide at least one of an operation report, a parking impact notification, and an accident situation notification based on the vehicle operation data in association with the application.

Abstract: Various systems and methods are provided for determining a posture of an occupant of a vehicle. In one embodiment, a method comprises capturing images of an occupant in a vehicle via a vehicle camera, determining a current posture of the occupant and a recommended posture for the occupant based on the captured images and body measurements of the occupant, and outputting a guidance based on a difference between the current posture and the recommended posture. In this way, a comfort of the occupant may be increased by guiding the occupant toward a more ergonomic posture.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for predicting occupancies of agents. One of the methods includes obtaining scene data characterizing a current scene in an environment; and processing a neural network input comprising the scene data using a neural network to generate a neural network output, wherein: the neural network output comprises respective occupancy outputs corresponding to a plurality of agent types at one or more future time points; the occupancy output for each agent type at a first future time point comprises respective occupancy probabilities for a plurality of locations in the environment; and in the occupancy output for each agent type at the first future time point, the respective occupancy probability for each location characterizes a likelihood that an agent of the agent type will occupy the location at the first future time point.

Abstract: Systems and methods can improve passenger safety for an Autonomous Vehicle (AV) based on the integration of sensor data captured by the AV's interior and exterior sensors. The AV can determine passenger occupancy data corresponding to where each passenger is detected within the AV by the interior sensors. The AV can determine multiple sets of one or more driving actions that the AV can perform at a future time. The AV can generate crash impact data corresponding to where each passenger is detected from one or more simulated collisions between the AV and one or more objected detected by the exterior sensors when the AV performs one or more sets of driving actions from among the multiple sets. The AV can determine ranked sets of driving actions based on the passenger occupancy data and the crash impact data.

Abstract: A monitoring system for buses includes presence sensors and belt sensors connected to slaves connected to a connection cable to transport the signals from the slaves in such a way to form a field bus. The connection cable is connected to a master that receives the signals from the slaves. The master is connected to a human-machine interface (HMI) by a network cable.

Abstract: A system for video processing includes a ranging system hardware interface, a vehicle bus interface, and a processor. The ranging system hardware interface is configured to receive ranging system data and/or ranging system metadata. The a vehicle bus interface is configured to receive vehicle bus data and vehicle bus metadata sent from a ranging system. The processor is configured to determine video data of interest based at least in part on the ranging system data and the ranging system metadata. The ranging system data and/or the ranging system metadata data includes information not included in the vehicle bus data and vehicle bus metadata sent from the ranging system via the vehicle bus interface.

Abstract: An occupant or object sensing system in a vehicle includes electrical circuits for resistive and/or capacitive sensing and corresponding circuits shielding the sensing system from interference. A sensing circuit and a shielding circuit may be printed by screen printing with conductive ink on opposite sides of a non-conductive substrate. The substrate is a plastic film or other fabric that has an elastic memory structure that is resilient to stretching. The conductive inks used to print circuits onto the substrate have a similar resilience to stretching such that the substrate and the circuits thereon can be subject to deforming forces without breaking the printed circuits. The substrate may be covered with a carbon polymer layer to provide alternative conductive paths that enable fast recovery for conduction in the presence of any break in the printed conductive traces on the substrate.

Abstract: A method of collision localization on a robotic device includes obtaining audio signals from a plurality of acoustic sensors spaced apart along the robotic device; identifying, based on a collision being detected, a strongest audio signal; identifying a primary onset time for an acoustic sensor producing the strongest audio signal, the primary onset time being a time at which waves propagating from the collision reach the acoustic sensor producing the strongest audio signal; generating a virtual onset time set, by shifting a calibration manifold, based on the identified primary onset time, the calibration manifold representing relative onset times from evenly spaced marker locations on the robotic device to the plurality of acoustic sensors; determining scores for the marker locations based a standard deviation of elements in the virtual onset time set; and estimating a location of the collision based on a highest score of the determined scores.

Abstract: The invention relates to a safety system for a vehicle seat in a commercial vehicle operating a vehicle seat motion actuation when the commercial vehicle is about to collide with an obstacle, comprising: —at least one actuator unit that comprises at least one seat actuator to move the vehicle seat from a driving position to a safety position—at least one control unit connected to said actuator unit to control the at least one seat actuator—at least one proximity sensor connected to said control unit and configured to detect an obstacle before the commercial vehicle collides it wherein the control unit, upon receiving an imminent and unavoidable collision alert signal from the proximity sensor, controls the at least one seat actuator to move the vehicle seat to the safety position.

Abstract: A side-by-side off-road utility vehicle comprising a vehicle operational status switch for controlling the operational status of the vehicle, a side-by-side seating structure, a plurality of safety restraint devices operable to retain one or more vehicle passenger in the side-by-side seating structure, and a prime mover RPM controller. The prime mover RPM controller operable to output commands to the one or more prime mover of the vehicle to limit a rotational speed of the prime mover(s) when the vehicle is in an On operational status and a selected one or more of the one or more safety restraints is in a disengaged status.

Abstract: A method for detecting a living being on a seat of a vehicle, further relating to a detection arrangement and to a vehicle. The method may include emitting electromagnetic waves at predetermined frequency or at a predetermined frequency band towards the seat by an electromagnetic radiator, receiving electromagnetic waves reflected on a surface by a sensor, detecting an object on the seat from a transit time of the emitted and the reflected electromagnetic waves between the radiator, the surface and the sensor by a detection device, detecting movements of the object from the reflected electromagnetic waves by the detection device if an object has been detected, determining from the detected movements of the object whether the detected object is a living being, and outputting a detection signal by way of the detection device if it has been determined that the detected object is a living being.

Abstract: In some examples, a device includes a capacitor arranged across the galvanic isolation barrier, where the capacitor is configured to communicate a single-ended signal from a first voltage domain to a second voltage domain. The device also includes a high-pass filter arranged in the second voltage domain and configured to receive the single-ended signal from the capacitor. The device further includes a low-pass filter arranged in the second voltage domain and coupled between the high-pass filter and a low-impedance node. The high-pass filter is coupled between the capacitor, the low-pass filter, and the low-impedance node, and the low-pass filter is configured to generate a differential signal.

Abstract: Provided is a replay system of ship collision accidents using a free running model test including a ship collision replay simulation system configured to replay the ship collision accidents by receiving a navigation trajectory of the ship collision accidents; a free running model system configured to perform a free running model test of the collision accident ship using a free running model ship; and a free running control system configured to remotely perform the free running model test, in which the replay of the ship collision accidents is performed by simultaneously performing a simulation in the ship collision replay simulation system and a free running model test in the free running model system.

Abstract: A route risk mitigation system and method using real-time information to improve the safety of vehicles operating in semi-autonomous or autonomous modes. The method mitigates the risks associated with driving by assigning real-time risk values to road segments and then using those real-time risk values to select less risky travel routes, including less risky travel routes for vehicles engaged in autonomous driving over the travel routes. The route risk mitigation system may receive location information, real-time operation information, (and/or other information) and provide updated associated risk values. In an embodiment, separate risk values may be determined for vehicles engaged in autonomous driving over the road segment and vehicles engaged in manual driving over the road segment.

Abstract: A tiptoe position estimating device includes: a camera configured to capture an image of an interior of a vehicle; and a human body information acquisition unit configured to acquire, from a captured image obtained by capturing an image of a person seated on a seat in the interior by the camera, position information of skeleton points at a plurality of positions of a body of the person. The human body information acquisition unit is configured to acquire thigh information which is position information of a skeleton point of a thigh of the person, and lower leg information which is position information of a skeleton point of a lower leg of the person. The human body information acquisition unit includes a tiptoe position estimating part configured to estimate a tiptoe position of a foot of the person based on the acquired thigh information and the acquired lower leg information.

Abstract: A device for reducing kinetosis-related disorders of an occupant of a vehicle includes a vehicle seat with a headrest. A seat belt is assigned to the vehicle seat which is configured to increase a connection of the occupant to the vehicle seat before an onset of an acceleration. An actuator system is coupled to the headrest which is configured to move the headrest automatically, at least in sections, counter to an expected direction of an acceleration of a head of the occupant before the onset of the acceleration. The seat belt is tightenable by a reversible belt tensioner before the onset of the acceleration.

Abstract: An electronic controller of a restraint control system for a vehicle comprises an electronic control unit including a first serial interface. The electronic controller also comprises a communications controller including a second serial interface and a plurality of PSI5 (Peripheral Sensor Interface 5) digital communications interfaces. Each of the first and second serial interfaces are Serial Peripheral Interfaces (SPI) in direct communications with one another, and the digital communications interfaces are each configured to communicate with a remote sensor. The communications controller is configured to transmit a voltage sync pulse to each of the remote sensors via the PSI5 digital communications interfaces in response to a synchronization command received from the electronic control unit via the serial interconnection. The voltage sync pulses on each of the PSI5 interfaces may be staggered and non-overlapping to reduce EMI production and to reduce the current load of the electronic controller.

Abstract: Systems and methods are disclosed for navigating a host vehicle. In one implementation, at least one processor may be programmed to receive images representative of an environment of the host vehicle; identify an oncoming target vehicle associated with a projected trajectory indicated by an aspect of the oncoming target vehicle in the images; determine that a planned trajectory for the host vehicle crosses the projected trajectory of the oncoming target vehicle and indicates a potential turn-across-path event; determine a remedial action for the host vehicle in response to the oncoming target vehicle and the potential turn-across-path event; implement the remedial action if the oncoming target vehicle is determined to be not approaching a road feature that negates the potential turn-across-path event; and forego the remedial action if the oncoming target vehicle is determined to be approaching a road feature that negates the potential turn-across-path event.

Abstract: Disclosed is an access device of a vehicle having an on-vehicle control device configured to transmit enquiry signals to a mobile identification transmitter to determine the state of motion thereof, and adapt the transmission of the enquiry signals for a response signal received from the mobile identification transmitter containing the state of motion of the mobile identification transmitter, or on the basis of the absence of the response signal. Energy is saved in the event of a response signal containing a communicated stationary state of the mobile identification transmitter or in the absence of a response signal by reducing the frequency of the transmission of the enquiry signals.

Abstract: A method and server for training a machine-learning algorithm (MLA) to detect objects in sensor data acquired by a second sensor mounted on a second vehicle located at a second distance from the objects, the MLA having been trained to detect the objects in sensor data acquired by a first sensor mounted on a first vehicle located at a first distance from the objects. First sensor data acquired by the first sensor on the first vehicle is aligned with second sensor data acquired by the second sensor on the second vehicle. The MLA determines objects and objects classes in the aligned first sensor data. The object classes in the aligned first sensor data are assigned to corresponding portions in the aligned second sensor data. The MLA is trained on the labelled portions in the aligned second sensor data to recognize and classify objects at the second distance.

Abstract: A vehicular control system includes a camera disposed at a vehicle and having a field of view exterior of the vehicle. Data is wirelessly transmitted from the vehicle to a data cloud. An image processor processes image data captured by the camera to detect objects present within the field of view of the camera. Data is wirelessly received at the vehicle from the data cloud concerning a potential hazard existing exterior of the vehicle that has not yet been detected via processing by the image processor of image data captured by the camera. Responsive at least in part to the vehicular control system detecting the potential hazard via the image processor processing image data captured by the camera, the vehicular control system controls at least one vehicle function of the vehicle to mitigate collision with the potential hazard.

Abstract: A computer includes a processor and a memory storing instructions executable by the processor to identify a virtual boundary between a host roadway lane of a host vehicle and a target roadway lane of a target vehicle, the virtual boundary based on a predicted path of the target vehicle, determine a first constraint value based on a boundary approach velocity of the target vehicle, determine a second constraint value based on (1) a boundary approach velocity of the host vehicle and (2) a boundary approach acceleration of the host vehicle and perform a threat assessment of a collision between the host vehicle and the target vehicle upon determining that the first constraint value violates a first threshold or the second constraint value violates a second threshold.

Abstract: A motor-driven door ratchet includes a catch part configured to lock a vehicle door to a vehicle body by being caught by a striker mounted on the vehicle body. A door locking and release part includes a main motor and is configured to allow the catch part to be locked or released from the striker. An inside emergency operation lever is connected to an inside handle installed in the vehicle door and is configured to be rotated by receiving a manipulation force to allow the vehicle door to be opened by applying torque to the catch part. An outside emergency operation lever is connected to an outside handle installed in the vehicle door and is configured to be rotated by receiving a manipulation force to allow the vehicle door to be opened by applying torque to the catch part.

Abstract: A radar data processing device includes at least one analog-to-digital converter (ADC) configured to digitize a plurality of input signals, wherein each input signal includes radar chirp and radar chirp reflection information received at one of a plurality of receiver antennas. The radar data processing device also includes Fast Fourier Transform (FFT) logic configured to generate FFT output samples based on each digitized input signal, wherein at least some of the generated FFT output samples are across antenna FFT output samples associated with at least two of the plurality of receiver antennas. The radar data processing device also includes a processor configured to determine a plurality of object parameters based on at least some of the generated FFT output samples, wherein the processor uses a neural network classifier trained to provide a confidence metric for at least one of the plurality of object parameters.

Abstract: In some examples, a system detects an accident involving a first vehicle, and responsive to the detecting of the accident, collects event data relating to the accident from a second vehicle that is different from the first vehicle.

Abstract: This document describes methods by which an autonomous vehicle deploys a simulation scenario while operating in a real-world environment. The vehicle's sensors collect perception data. During a run of the vehicle in a real-world environment, the vehicle's on-board computing system will: (i) receive the perception data; (ii) publish the perception data to a muxing tool of the on-board computing system; (iii) generate simulation data that identifies and labels one or more simulated objects in the environment; (iv) publish the simulation data to the muxing tool; (v) use the muxing tool to add at least a portion of the simulation data to the perception data to yield augmented perception data; and (v) use at least a portion of the augmented perception data to make one or more navigation decisions based for the autonomous vehicle.

Abstract: The vehicle control device sets a region including a stationary object on a road, calculates a passing position at which a host vehicle and an oncoming vehicle pass each other in accordance with a velocity of the host vehicle and a position and a velocity of the oncoming vehicle, calculates a first score that is a larger value as the velocity of the oncoming vehicle is greater, calculates a second score that is a larger value as an acceleration rate of the oncoming vehicle is greater, integrates the first score with the second score so as to calculate an integration score, and causes the host vehicle to decelerate when the integration score is greater than or equal to a predetermined value or causing the host vehicle to keep the velocity or accelerate when the integration score is smaller than the predetermined value.

Abstract: An occupant position detection system includes an imaging device configured to capture an image of an occupant seated on a seat provided in an interior of a vehicle, a sensor provided on the seat, a first calculating unit configured to calculate a first position of the occupant from the image captured by the imaging device, a second calculating unit configured to calculate a second position of the occupant from a detection result of the sensor, an occupant position calculating unit configured to calculate an occupant position by fusing the first position and the second position, and an output unit configured to output information on the occupant position calculated by the occupant position calculating unit, to a safety device.

Abstract: A vehicle-initiated cadenced operator interaction system introduces an operational concept to a vehicle operator via a machine-initiated interaction. Thereafter, interaction is initiated by the industrial vehicle according to a cadence that provides a gap between interactions so that the operator can demonstrate the behavior associated with the introduced concept. Industrial vehicle data associated with the content of the interaction(s) is analyzed and evaluated against pre-defined operational criteria to determine whether the operator is demonstrating the appropriate skill/behavior associated with the interaction(s). Responsive to the operator's demonstrated ability, the system can modify operation of the vehicle to tune the industrial vehicle to the operator. The system can also extend to the operating environment, by interacting with electronic devices, vehicles, machines, etc., in the operating environment to tune the environment to the operator.

Abstract: A system and method for reconstructing information about vehicular accidents is disclosed. The system comprises an onboard computing system in a vehicle with an accident reconstruction system. Using sensed information from vehicle sensors and an animation engine, the system can generate animated videos depicting the accident. The system can also take action in response to information it learns from the animated video and/or an underlying 3D model of the accident used to generate the video.

Abstract: Traversing a vehicle transportation network includes operating a scenario-specific operational control evaluation module instance. The scenario-specific operational control evaluation module instance includes an instance of a scenario-specific operational control evaluation model of a distinct vehicle operational scenario. Operating the scenario-specific operational control evaluation module instance includes identifying a multi-objective policy for the scenario-specific operational control evaluation model. The multi-objective policy may include a relationship between at least two objectives. Traversing the vehicle transportation network includes receiving a candidate vehicle control action associated with each of the at least two objectives. Traversing the vehicle transportation network includes selecting a vehicle control action based on a buffer value.

Abstract: An ADAS-linked active hood apparatus includes an ADAS device that measures information regarding a driving state of a vehicle and an object and a collision sensor unit that is positioned at a front of the vehicle and measures collision with the object. An active hood lift system (AHLS) raises one end of a hood of the vehicle based on a signal from the collision sensor unit. A controller sets a pedestrian detection threshold (PDT) turn, receives information regarding a plurality of front objects from the ADAS device to compensate for a PDT, compensates for an output reference value of the collision sensor unit based on the compensated PDT, and determines whether collision occurs using the collision sensor unit to adjust pop-up of the AHLS when an output value equal to or greater than the compensated reference value is applied.

Abstract: In a collision determination device for determining a type of front collision of a vehicle, a collision determination unit is configured to determine that the collision type is full overlap front collision as collision of the vehicle with an obstacle across substantially the entire width of a front surface of a vehicle body in a case where initial values as values at an early phase of the collision for a first lateral acceleration and a second lateral acceleration are both less than a full overlap determination threshold as a negative value.

Abstract: A control system and method for controlling a vehicle subsystem are provided. The control system includes a remote parameter sensor configured to generate a remote parameter signal indicative of a value of a universal parameter associated with an environment in which a vehicle is operating. The system further includes a local parameter sensor configured to generate a local parameter signal indicative of the value of the universal parameter and a local controller. The controller is configured to receive the local parameter signal along a first signal path, receive the remote parameter signal and a command signal configured for controlling a function of the vehicle subsystem along a second signal path, compare the local and remote parameter signals and implement the function of the vehicle subsystem responsive to the command signal if the remote parameter signal meets a predetermined condition relative to the local parameter signal.

Abstract: An automatic driving vehicle includes a touch panel that displays various buttons. An operator can input a drive control instruction in relation to the automatic driving vehicle, with the buttons displayed on the touch panel. In addition to the touch panel, the automatic driving vehicle includes a mechanical door switch for opening and closing an automatic door and a mechanical ramp switch for extending and retracting an automatic ramp, both being disposed spaced apart from the touch panel.