Abstract: A driver intoxication test system is provided for a vehicle including: a quick intoxication pre-test subsystem for quickly determining whether there is reason to suspect the driver may be intoxicated; an intoxication validation test subsystem for determining whether the driver is intoxicated; and a controller is configured to determine whether the quick intoxication pre-test subsystem has detected a reason to suspect the driver may be intoxicated. When a reason to suspect the driver may be intoxicated has been detected, an intoxication validation test is conducted and it is determined whether the driver has passed the intoxication validation test. When a reason to suspect the driver may be intoxicated has not been detected, the controller does not instruct the intoxication validation test subsystem to conduct an intoxication validation test.

Abstract: A vehicle includes a navigation device, a sensor device, and a control device configured to identify an entry of the vehicle into a predetermined section of a road through the navigation device. In particular, the control device may identify at least one of a curvature of the road, a speed of the vehicle, or an acceleration of the vehicle through the sensor device in response to the entry of the vehicle into the predetermined section, and perform a lateral control of the vehicle based on at least one of the curvature of the road, the speed of the vehicle, or the acceleration of the vehicle.

Abstract: An in-vehicle processing device comprises a sensor input unit which acquires sensor information as an output of a sensor which acquires information around a vehicle, a movement information acquisition unit which acquires vehicle movement information as information related to a movement of the vehicle, a log recording unit which records information based on the vehicle movement information and the sensor information in a storage unit, a map generation unit which creates an environmental map including a drivable area where the vehicle can travel based on determination of static objects that do not move and mobile objects that can move by using information based on the vehicle movement information and the sensor information recorded in the storage unit, and a route calculation unit which calculates a travel route of the vehicle by using the environmental map, wherein the environmental map includes a position of parking the vehicle.

Abstract: Battery management systems and methods for using the same to obtain battery shock and/or rollover data. An exemplary battery management system of the present disclosure comprises an accelerometer configured to obtain acceleration data, a microcontroller operably connected to the accelerometer and configured to receive the acceleration data from the accelerometer, and a data storage medium in communication with the microcontroller, the data storage medium configured to store the acceleration data therein, wherein when the battery management system is in communication with a battery, the accelerometer can obtain the acceleration data relating to the battery, and the microcontroller can operate to disconnect the battery from a load connected thereto should the acceleration data meet or exceed a threshold limit.

Abstract: A mounted object detection device includes: a load sensor in which a plurality of sensor parts each configured to detect a load are disposed in a matrix shape; and a controller configured to detect a situation of a mounted object on the load sensor on the basis of an output from the load sensor. The controller: detects a load distribution on a detection region of the load sensor on the basis of an output from the load sensor; discerns which of a person or animal and a thing the mounted object is, on the basis of the load distribution; and when having discerned that the mounted object is a thing, discerns whether or not a person or an animal is mounted on the thing, on the basis of temporal change in the load distribution.

Abstract: The invention relates to a method for providing visual information about a first vehicle (1) in an environment (4) of a second vehicle (2). The method comprises the step of detecting a reduced visibility of the first vehicle (1) in the environment (4) of the second vehicle (2) and the steps of transmitting an image captured by a camera (7) of the first vehicle (1) to a display device of the second vehicle (2) and of integrating an object (13) representing the first vehicle (1) into the image displayed on the display device of the second vehicle (2). The object (13) is represented in the image (12) at a position which corresponds to the current position of the first vehicle (1) in the environment (4) of the second vehicle (2). The invention further relates to a computer program, a computer-readable medium and a driver assistance system (3).

Abstract: A personal mobility device configured for preventing a plurality of occupants from riding therein and a method of controlling stability therefor, may include a sensor unit including a plurality of sensors configured to detect a current boarding weight on the personal mobility apparatus, a pressure applied to a deck, and a driving speed, a communication unit configured to transmit and receive data to or from a communication terminal device of a user, and a controller configured to analyze information on a weight of the user, provided from the communication unit, and sensing information provided from the sensor unit, to determine whether a plurality of occupants rides in the personal mobility device, and to control an operation of the driving unit, preventing an accident when a plurality of occupants rides therein.

Abstract: A method at a sensor apparatus, the method including calculating a value for a target function based on at least one sensor of the sensor apparatus; determining that the value of the target function is within a defined threshold range for a defined time period, thereby finding an in-flight state for the sensor apparatus; and turning off transmission from a radio of the sensor apparatus based on the in-flight state.

Abstract: A vehicle safety system for helping to protect a vehicle occupant in the event of a frontal collision includes a controller, one or more crash sensors for sensing a frontal collision, and an active sensor for detecting objects in the path of the vehicle. The controller is configured to implement crash discrimination metrics that detect the occurrence of a frontal collision in response to signals received from the crash sensors. The crash discrimination metrics implement thresholds for determining whether the signals received from the crash sensors indicate the occurrence of a frontal collision. The controller is configured to implement an algorithm that uses information obtained from the active sensor to detect an object in the path of the vehicle and to select the thresholds implemented in the crash discrimination metrics in response to detecting the object.

Abstract: A system and method for a host vehicle to assess risk for road users is disclosed. The host vehicle monitors its surrounding driving environment and sends alerts to road users if a threat is detected. The host vehicle can determine the best course of action to mitigate a threat, and coordinate such action. The host vehicle comprises processing circuitry configured to perform the foregoing tasks. Further, the host vehicle may use a machine learning-based system comprising a trained neural network.

Abstract: A passenger protection system for a vehicle includes a vehicle sensor control system having at least one processor and computerized memory storing vehicle control software therein, wherein the vehicle control software receives input data from a plurality of vehicle sensors. A digital control sequence is triggered in the software by a presence of at least one occupant other than a driver in the vehicle who is classified as a child, with the digital control sequence activating and de-activating an alert system and a system of electronically programmed interlocks in a vehicle control system. The alert system includes at least one of an audible alert and/or a visible alert and/or a haptic alert to ensure child safety in the vehicle during operation. The interlocks may electronically control numerous vehicle functions including window operation, seat position adjustment, and seat belt position adjustment.

Abstract: A method and apparatus for measuring the angle of arrival AOA of Wi-Fi packets, using a switched beam antenna SBA is described. Wide antenna beams, quadrants, are selected in turn and a burst of packets is transmitted on each quadrant. The quadrant with the highest average signals strength is selected. Then the narrow antenna beams that make up that selected quadrant are selected, in sequence, and the average signal strength for each narrow beam is recorded. The narrow beam with the highest average signal strength is returned as the AOA. Based upon which narrow beam recorded the highest signal strength, the next sequence of antenna beams is selected. When the SBA is mounted on a mobile platform, the parameters of the transmission bursts are chosen such that the angular error due to cornering of the platform is negligible.

Abstract: Systems, apparatuses, and methods related to using memory device sensors are described. Some memory system or device types include sensors embedded in their circuitry. For instance, another device can be coupled to a memory device with an embedded sensor. The memory device can transmit a signal representing sensor data generated by the embedded sensor using a sensor output coupled to the other device. A controller coupled to a memory device may determine one or more threshold values of a sensor or sensors embedded in a memory device. The memory device may transmit an indication responsive to one or more sensors detecting a value greater or less than a threshold and may transmit the indication to another device.

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

Abstract: A driving control device is configured to control driving of occupant protection devices to be mounted on a vehicle. The driving control device includes a detection result acquisition unit, a collision form estimation unit, and a device selection unit. The detection result acquisition unit acquires a detection result of an object ahead of the vehicle before collision. The collision form estimation unit estimates a form of collision that may occur with the object based on the detection result. When a collision between the vehicle and the object is detected, the device selection unit selects which of the occupant protection devices should be driven based on the collision form estimated by the collision form estimation unit.

Abstract: A vehicle includes an electronic control unit that includes a processor; and one or more processor-readable instructions; and an occupant detection sensor configured to output a signal indicative of a presence of an occupant. When executed by the processor, the one or more processor-readable instructions cause the vehicle to: record a route from a first location to a second location, and autonomously return to the first location from the second location using the recorded route based on the signal received from the occupant detection sensor.

Abstract: Provided are an apparatus and a method for analyzing a state of a vehicle occupant and performing illumination and image output control by a projector in units of a screen sectioned area of a vehicle ceiling, in accordance with an analysis result. There is provided a data processing unit configured to execute state analysis of an occupant of a vehicle and execute output control of a projector in accordance with an occupant analysis result. The data processing unit performs projector control of outputting illumination light having luminance determined in accordance with the occupant analysis result, in units of a sectioned area of a screen of a vehicle ceiling on which projector output light is outputted. The data processing unit analyzes a state of an occupant on the basis of a camera-captured image, and outputs illumination light having luminance determined in accordance with an occupant state, in units of a screen sectioned area above each occupant.

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: An electrical system includes a movable component configured for selective connection with and selective removal from a mounting surface. The movable component may include a first electronic control unit (ECU), and an electromechanical interface configured for selectively locking the movable component with said mounting surface. The electrical system may include a second ECU configured to communicate with the first ECU, and/or a third ECU configured to detect a potential dynamic event via one or more sensors. The third ECU may be configured to provide dynamic event information to the second ECU. The second ECU may be configured to provide disable information corresponding to the dynamic event information to the movable component. The first ECU may be configured to lock the movable component with the mounting surface according to the disable information.

Abstract: A roll sensor is configured to detect a first roll angle at a corresponding first point of a path plan of a vehicle, or its implement, based on the estimated current position. A roll sensor is configured to detect a second roll angle at a corresponding second point of a path plan of a vehicle, or its implement, based on the estimated current position. A data processor is configured to determine a roll angle delta or difference between the first roll angle and the second roll angle. If the roll angle delta is greater than a reference roll value, the roll angle delta is evaluated over an evaluation period. For example, if the roll angle is greater than the reference roll value for equal to or greater than a target percentage or target ratio for the evaluation period, the data processor is configured to designate the roll angle sensor for possible recalibration.

Abstract: A vision sensing system of a vehicle comprising a camera, an object detection module, and a calibration module. The object detection module is configured to detect a first object in data received from the camera. The calibration module is configured to calibrate the object detection module to detect the first object in the presence of a second object that obstructs a view of the camera and that includes a predetermined pattern sensed by the camera. A driver monitoring system for a vehicle comprises a camera and a driver monitoring module. The camera is arranged proximate to a steering wheel of the vehicle to monitor a face of a driver of the vehicle. The driver monitoring module is configured to detect an obstruction between the camera and the face of the driver and to ignore the obstruction in response to the obstruction including a predetermined pattern sensed by the camera.

Abstract: A method for detecting a position of a seatbelt in a vehicle includes: capturing, by a camera, a source image of an occupant in the vehicle; determining a pose of the occupant based on the source image; determining an occupant shadow based on the pose of the occupant; determining, based on the occupant shadow, a shadow overlying a region of interest (ROI) in the source image; and detecting, based on the shadow overlying the ROI, the seatbelt within the ROI. A system for detecting a position of a seatbelt is also provided. The system includes a camera and controller in communication with the camera and configured to: determine a pose of the occupant; determine an occupant shadow based on the pose of the occupant; determine, based on the occupant shadow, a shadow overlying the ROI; and detect, based on the shadow overlying the ROI, the seatbelt within the ROI.

Abstract: A system for adaptive in-drive updating, for a vehicle travelling on a route, includes a controller having a processor and tangible, non-transitory memory. The vehicle is carrying a load. The controller is adapted to obtain one or more dynamic parameters pertaining to the load. A plurality of adaptive predictors is selectively executable by the controller at a timepoint during the route at which a completed portion of the route has been traversed by the vehicle and a remaining portion remains untraversed. The plurality of adaptive predictors includes a speed predictor configured to generate a global speed profile. The plurality of adaptive predictors includes a driving consumption predictor is configured to predict a driving consumption profile for the remaining portion of the route based in part on the dynamic parameter, the route features, the global speed profile, and a past drive consumption.

Abstract: An obstacle detection apparatus that detects an obstacle existing around a vehicle is provided to include an ultrasonic sensor and a controller. The ultrasonic sensor is provided in the vehicle at a position having a predetermined height from a road surface. The ultrasonic sensor includes a plurality of ultrasonic elements configured to transmit an exploration wave toward outside of the vehicle, and receive a reflected wave reflected by an obstacle as a reception wave. The controller is configured to derive (i) an obstacle distance and (ii) an obstacle height based on an intensity of the reception wave received by each of the plurality of ultrasonic elements and a phase difference in the reception wave received by each of the plurality of ultrasonic elements.

Abstract: A method for predicting a trajectory of a target vehicle in an environment of a vehicle. The method includes the steps of a) capturing states of the target vehicle, capturing states of further vehicle objects in the environment of the vehicle and capturing road markings by a camera-based capture device; b) preprocessing the data obtained in step a), wherein outliers are removed and missing states are calculated; c) calculating an estimated trajectory by a physical model on the basis of the data preprocessed in step b); d) calculating a driver-behavior-based trajectory on the basis of the data preprocessed in step b); and e) combining the trajectories calculated in steps c) and d) to form a predicted trajectory of the target vehicle.

Abstract: An example operation includes one or more of determining a characteristic of an occupant in a transport and a current driving environment of the transport, wherein the characteristic includes a position of the occupant, determining that the current driving environment will lead to a collision of the transport, and based on a predicted result of the collision, sending a predicted state of the occupant based on the position, to an emergency service node.

Abstract: A vehicle traveling control apparatus includes an imaging device, a sensor, an information storage, a traveling road detector, an imaging height detector, and a control unit. The traveling road detector detects that a vehicle is traveling on a road satisfying a condition. The imaging height detector detects a distance from a surface of the road to the imaging device position. The control unit includes a separation height estimator that estimates a height of a separation part, based on a result of the imaging height detector and the preset imaging device position, and a sensor height estimator that estimates a distance from an upper surface of the separation part to the sensor position, based on a result of the separation height estimator and the preset sensor position. The control unit stops detection by the sensor if a value estimated by the sensor height estimator becomes a threshold or less.

Abstract: A vehicle control system includes an in-vehicle apparatus. The in-vehicle apparatus includes a drive device, an authentication unit, a determining unit, and an operation detecting unit. The authentication unit is configured to perform authentication of a mobile device on the basis of a wireless communication. The determining unit is configured to determine whether a vehicle is in a predetermined driving state. The operation detecting unit is configured to detect presence of an operation of the mobile device by receiving a signal transmitted from the mobile device. The in-vehicle apparatus is configured to execute a predetermined safety control, on a condition that the drive device is unlocked as a result of success in the authentication performed by the authentication unit, the vehicle is determined by the determining unit as being in the predetermined driving state, and the operation of the mobile device is detected by the operation detecting unit.

Abstract: A method is provided to using a machine learning model to predict lane geometry where incorrect or missing lane line geometry is detected. Methods may include: receiving a representation of lane line geometry including a masked area representing an area of broken lane line geometry; processing the representation using an inpainting model including a generator to produce a corrected representation, where the masked area is inpainted to correct the broken lane line geometry, where the generator processes the representation through one or more convolution layers and at least eight dilated convolution layers to generate inpainting of corrected lane line geometry in the corrected representation; processing the corrected representation through a discriminator of the inpainting model, where the discriminator discerns a score reflecting a quality measure of the corrected representations; and updating a map database based on the corrected representation in response to the score satisfying a predetermined threshold.

Abstract: The present technology relates to an information processing apparatus, an information processing method, a program, a mobile-object control apparatus, and a mobile object that make it possible to appropriately set the accuracy in detecting an object.

Abstract: The disclosed embodiments are directed to improving the persistence of pre-accident data in vehicles. In one embodiment a method is disclosed comprising receiving events broadcast over a vehicle bus; classifying the events using a machine learning model, the classifying comprising indicating that a collision is imminent; and copying data from a cyclic buffer of a black box device into a long-term storage device in response to the classifying.

Abstract: A capacitive sensor device for use with a steering wheel is provided. The steering wheel includes a rim and a spoke that is connected to the inner side of the rim, and the sensor device is provided on the spoke. The sensor device includes an electrode configured to be capacitively coupleable to an object to be detected, and includes a controller configured to detect a change in capacitance of the electrode, and determine whether the object is in proximity to the rim or the spoke based on the change in the capacitance of the electrode. The change in the capacitance occurs in response to the object being in proximity to the rim or the spoke.

Abstract: The disclosed technology provides solutions for vehicle routing and in particular, for facilitating obstacle avoidance maneuvering by an autonomous vehicle (AV). In some implementations, a process of the disclosed technology can include steps for collecting environmental data about an environment around an autonomous vehicle, wherein the environmental data comprises data pertaining to a roadway navigated by the autonomous vehicle and one or more other vehicles navigating the roadway, processing the environmental data to generate an area grid comprising one or more grid sections, wherein each grid section corresponds with a different area of the roadway, and determining a risk-profile for the one or more grid sections based on the environmental data. Systems and machine-readable media are also provided.

Abstract: An apparatus comprising communication logic and a memory. The communication logic may be configured to receive a data payload, validate the data payload, decode an instruction from the data payload, generate a bypass signal in response to the instruction and generate a remote signal in response to an arm signal. The memory may be configured to store configuration data and store status information. The bypass signal may be compatible with a safing block configured to provide one independent signal for an actuator. The communication logic may operate according to a pre-defined end-to-end communication standard. The configuration data may be configured to enable a selected profile for the pre-defined end-to-end communication standard. The safing block may be configured to pass through the bypass signal generated by the communication logic as the arm signal. The communication logic may receive the arm signal from the safing block.

Abstract: Embodiments of an adaptive virtual intelligent agent (“AVIA”) service are disclosed. It may include the functions of a human administrative assistant for an enterprise including customer support, customer relationship management, and fielding incoming caller inquiries. It also has multi-modal applications for the home through interaction with AVIA implemented in the home. It may engage in free-form natural language dialogs. During a dialog, embodiments maintain the context and meaning of the ongoing dialog and provides information and services as needed by the domain of the application. Over time, the service automatically extends its knowledge of the domain (as represented in the Knowledge Tree Graphs) through interaction with external resources.

Abstract: A vehicle includes a collision determination ECU determining whether a possibility of collision is present, based on a detection result of a detection sensor detecting outside of the vehicle, a motor, a boosting circuit and a battery supplying a high voltage to the motor, and an electric suspension control ECU controlling the boosting circuit and the motor, and in a case where the collision determination ECU determines that the possibility of collision is present, the electric suspension control ECU limits the supply of the high voltage to the motor.

Abstract: A profile is automatically generated for an occupant of a vehicle. In one approach, data is collected from an interior of a vehicle to determine whether an occupant is present. If an occupant is present, a local profile is automatically generated. The local profile is sent to a remote computing device. The remote computing device links the local profile to a remote profile stored by the remote computing device. Configuration data is generated by the remote computing device based on linking the local and remote profiles. The configuration data is sent to the vehicle and used by the vehicle to control the operation of one or more components of the vehicle.

Abstract: A seat includes a seat body and a sensor configured to acquired information on an occupant seated on the seat body. The seat includes a coating as a location marker that marks a location of the sensor to render the location visually recognizable from outside the seat body.

Abstract: The present disclosure relates to a crash monitoring system for a vehicle, a vehicle comprising such a crash monitoring system, a method for monitoring a vehicle crash and a computer program element for such a crash monitoring system. The crash monitoring system comprises an environment sensor unit, a vehicle information supplying unit, a crash sensor unit and a control unit. The environment sensor unit is configured to generate field data of an impending crash event between at least a first vehicle and an obstacle. The vehicle information supplying unit is configured to provide operational information of at least the first vehicle to the control unit. The crash sensor unit is configured to generate crash data during the crash event of at least the first vehicle. The control unit is configured to execute a crash simulation based on the field data and the operational information and generate predictive attribute data.

Abstract: A seating state detection device includes an acquisition unit configured to acquire a detection signal group in a predetermined period that is output as a result of transmission and reception of waves by a radio wave sensor mounted on a vehicle, a signal extraction unit configured to extract specific-intensity signals in a predetermined reflection intensity range from the detection signal group, and a determination unit configured to determine whether an occupant in the vehicle is in a first riding state in which the occupant is directly seated on a seat or in a second riding state in which the occupant is seated in an infant auxiliary device, based on a distribution mode of the specific-intensity signals.

Abstract: There is provided a travel control apparatus. A control unit performs, based on a recognition result of a recognition unit and map information of a periphery of the moving body, travel control of the moving body. A first determination unit determines whether a first state is set. A second determination unit determines whether a second state is set. In at least one of a case in which the first determination unit determines that the first state is set and a case in which the second determination unit has determined that the second state is set, the control unit performs travel control prioritizing the recognition result of the recognition unit over the map information.

Abstract: A vehicle control device that controls a vehicle, the vehicle control device comprising: an acquisition unit configured to acquire surrounding information of the vehicle; a recognition unit configured to recognize another vehicle traveling in surroundings of the vehicle, based on the surrounding information; a calculation unit configured to calculate a visual recognition ratio of a steering wheel of the other vehicle to a perfect circle; and a control unit configured to control the vehicle, based on the visual recognition ratio.

Abstract: A seat for a vehicle may include a seatback including a variable resistance support disposed within a volume of the seatback. The variable resistance support may further include one or more configurable arrays of resistive elements including collapsible structures and/or inflatable bladders that may be configured to provide energy dissipation and/or absorption during a collision event. One or more array subsets may be configured to be independently controllable and configured to provide adjustable support at a region of the seatback, the adjustable support corresponding to a mass of the occupant. Moreover, when at least a portion of the back of an occupant pushes against a front surface of the seatback due to the collision event, the arrays of resistive elements may be configured to compress and/or collapse, at least partially, to absorb an energy applied from an occupant's back associated with the collision event.

Abstract: A system includes an electronic control unit (ECU) having a housing and configured to be disposed within an interior of an autonomous vehicle. The system also includes an inertial measurement unit (IMU) rigidly disposed with the housing of the ECU. The system also includes a processor configured to receive measurement data from the IMU. The IMU and the processor is powered by a battery separate from a power source of the ECU. The processor is configured to identify a tamper event of the ECU based on the measurement data from the IMU. The processor is also configured to send a signal to cause a tamper response of the tamper event.

Abstract: The present disclosure provides a method and system for processing an obstacle detection result of an ultrasonic sensor array. The method comprises: obtaining obstacle coordinates collected by ultrasonic sensors in an ultrasonic sensor array; inputting the obstacle coordinates collected by ultrasonic sensors in the ultrasonic sensor array into a pre-trained neural network model, to obtain true or false labels for the obstacle coordinates collected by the ultrasonic sensors output by the pre-trained neural network model; process the obstacle coordinates collected by the ultrasonic sensors in the ultrasonic sensor array according to the true or false labels. The present disclosure improves the accuracy in the obstacle detection of the ultrasonic sensor array, avoids detection error and omission and improves the driving safety.

Abstract: A driver's vehicle sound perception method during the autonomous traveling of a driver sound control system applied to an autonomous vehicle is provided. The method includes determining a mobile device and Bluetooth earphones held by a driver within a cabin, and setting the driver position and face direction for the driver, a driver relative distance for the individual controller, and the sound pressure and cycle of an alert for a failure situation of the individual controller by a DSM controller of the DSM system. The method confirms the utterance position of the alert for the driver by an AVNT controller of the AVNT system, and reproduces the failure situation of the individual controller by a vehicle speaker or the Bluetooth earphones to reproduce the vehicle alert through the left/right Bluetooth earphones in the driver's ears at autonomous Lv.4, freeing the driver from driving.

Abstract: A driving monitoring device (100) decides an applicable collision pattern that applies to a collision pattern of a case where a vehicle (200) collides with a mobile object, based on a velocity vector of the vehicle, a velocity vector of the mobile object, and so on. Subsequently, the driving monitoring device calculates a time until collision, which is a time taken until the vehicle collides with the mobile object, in the applicable collision pattern. Then, the driving monitoring device calculates a danger level of an accident in which the vehicle collides with the mobile object, based on the applicable collision pattern and the time until collision.

Abstract: Techniques are described for determining an occurrence of theft in a vehicle. An example processor implemented method comprises receiving, by a computer located in an autonomous vehicle and at a first time, a first torque value that indicates a first amount of torque applied by an engine of the autonomous vehicle to drive the autonomous vehicle, receiving, at a second time that is later in time than the first time, a second torque value that indicates a second amount of torque applied by the engine of the autonomous vehicle, determining that a difference between a first value and a second value is greater than a pre-determined value, where the first value and the second value are functions of at least the first torque value and at least the second value respectively, and displaying, in response to the determining, a message that indicates a theft detection in the autonomous vehicle.

Abstract: An information processing device and an information processing method that prevent unnecessary warning are provided. An information processing device includes a host vehicle information acquisition part configured to acquire host vehicle information on a host vehicle, a setting part configured to set an allowable range for a driver's sight of the host vehicle based on the host vehicle information, a driver information acquisition part configured to acquire driver information on the driver, a determination part (inattentive driving determination part) configured to determine whether or not the driver is looking at the allowable range based on the allowable range and the driver information, and an output part (sound output part, vibration part, display part) configured to output a predetermined notification based on the determination of the determination part (inattentive driving determination part).

Abstract: An apparatus of controlling a safety power window of a vehicle and a method thereof to not injure the body caught in a window frame, as well as to prevent a malfunction of the safety power window, by adaptively setting an operation reference value of the safety power window, may include a learning device that deep-learns a model which predicts an operation reference value of the safety power window provided in the vehicle, based on driving information of the vehicle, a sensor that collects the driving information of the vehicle, and a controller that obtains the operation reference value of the safety power window corresponding to current driving information of the vehicle by use of the model on which the deep learning is completed, and controls the safety power window according to the operation reference value of the safety power window.