Abstract: Disclosed are a driver assistance system for a vehicle, the driver assistance system comprising: a camera disposed on the vehicle to have a field of view of an outside of the vehicle, and configured to acquire external image data; a radar disposed on the vehicle to have a field of sensing of an outside of the vehicle, and configured to acquire radar data; and a controller including a processor configured to process the image data and the radar data, determine a cut-in area of a nearby vehicle on the basis of the image data acquired by the camera, determine a target vehicle on the basis of the determined cut-in area, and control at least one of a braking device or a steering device of the vehicle to avoid a collision with the target vehicle.

Abstract: Disclosed is a collision avoidance assisting apparatus which can execute an automatic braking process and an automatic steering process for avoiding collision with an obstacle. When the magnitude of a steering angle exceeds a predetermined threshold, the collision avoidance assisting apparatus determines that a driver has an intention of avoiding the collision by a steering operation and stops the automatic braking process and the automatic steering process. However, in such a case, the automatic braking process and the automatic steering process may be stopped when the steering angle exceeds the threshold as a result of execution of the automatic steering process. In view of this, when both the automatic braking process and the automatic steering process are being executed, the collision avoidance assisting apparatus continues the automatic braking process and the automatic steering process even when the magnitude of the steering angle is greater than the predetermined threshold.

Abstract: Disclosed is a vehicle traveling controller that performs emergency evacuation traveling in the case of an emergency for proper traveling control. The vehicle traveling controller determines whether the vehicle traveling in accordance with a normal traveling rule is not dangerous and becomes proper traveling or not on the basis of environmental information around a vehicle (S18), when it is determined that the vehicle traveling in accordance with the normal traveling rule becomes proper traveling, executes normal traveling control for instructing the vehicle to travel in accordance with the normal traveling rule (S20), and when vehicle traveling in accordance with the normal traveling rule does not become proper traveling, executes emergency evacuation traveling control for instructing the vehicle to perform emergency evacuation traveling which is not in accordance with the normal traveling rule (S22).

Abstract: An autonomous driving system mounted on a vehicle determines a target path based on necessary information and performs vehicle travel control such that the vehicle follows the target path. A first coordinate system is a vehicle coordinate system at a first timing when the necessary information is acquired. A second coordinate system is a vehicle coordinate system at a second timing later than the first timing. The autonomous driving system calculates, based on the necessary information acquired at the first timing, a first target path defined in the first coordinate system. Then, the autonomous driving system corrects the first target path to a second target path defined in the second coordinate system by performing coordinate transformation from the first coordinate system to the second coordinate system. The autonomous driving system uses the second target path as the target path to perform the vehicle travel control.

Abstract: A driver assistance system (DAS) configured to determine a lane provided with a radar reflector includes a radar configured to emit radio wave in front of the vehicle and obtain radar data by receiving reflected wave reflected from an object in front of the vehicle; a controller configured to determine whether the object is the radar reflector based on the magnitude of energy of the reflected wave included in the obtained radar data, and to determine a line connecting the determined radar reflector as a lane. It is an object of the present invention to provide a driver assistance system and a driver assistance method capable of obtaining lane information based on a radar track.

Abstract: A method of the disclosure implements a prefix-based estimator system. The method includes: receiving a plurality of vehicle states at a plurality of time points from at least one sensor coupled to a vehicle, wherein each of the plurality of vehicle states includes at least one parameter information and a discrete state; determining a most recent vehicle state of the plurality of vehicle states has at least one parameter information missing; identifying a prefix comprising a missing data pattern that matches a sequence of discrete states of a subset of time-ordered vehicle states including the most recent vehicle state, wherein the subset of time-ordered vehicle states correspond to the prefix, calculating an estimated updated vehicle state of the vehicle using an optimized prefix-based dynamic estimator based on the prefix and the subset of time ordered vehicle states; and providing the estimated updated vehicle state to a driving control system of the vehicle.

Abstract: A vehicle control apparatus includes an electric control unit that performs a preceding vehicle trailing control which makes an own vehicle trail a preceding vehicle as an adaptive cruise control, and performs a first brake control which automatically applies a first braking control to the own vehicle when a time-to-collision to a target object is less than a first threshold. In a case where a performing condition for the first brake control has been determined to be satisfied during a performance of the adaptive cruise control, the electric control unit continues performing the adaptive cruise control without performing the first brake control when a deceleration control by the adaptive cruise control is being performed, whereas stops performing the adaptive cruise control when the deceleration control by the adaptive cruise control is not being performed.

Abstract: A device for controlling driving of a vehicle includes: a detector to acquire driving information, driver information, and surrounding environment information about the vehicle, and a controller to determine whether to activate a safety driving mode based on at least one of the driving information, driver information, and surrounding environment information about the vehicle, and to determine whether to maintain the safety driving mode state based on a vehicle state after the activation of the safety driving mode. Thus, the device may support a safety driving of the vehicle by restricting a speed of the vehicle even when the driver incorrectly operates an accelerator pedal in place of a brake pedal of the vehicle.

Abstract: A trailer for use with a towing vehicle having a first connector. The trailer includes a connector assembly, a plurality of wheels, and a trailer assist assembly. The connector assembly includes a second connector and at least one sensor. The second connector is configured to be coupled to the first connector to thereby couple the trailer to the towing vehicle. The at least one sensor is configured to detect forces applied to at least a portion of the connector assembly. The trailer assist assembly includes a control system and at least one electric motor. The control system is configured to control operation of the at least one electric motor, receive sensor signals from the at least one sensor, and use the sensor signals to determine when to operate the at least one electric motor. The at least one electric motor is operable to drive the plurality of wheels.

Abstract: Aspects of the disclosure relate to a dynamic distance estimation output platform that utilizes improved computer vision and perspective transformation techniques to determine vehicle proximities from video footage. A computing platform may receive, from a visible light camera located in a first vehicle, a video output showing a second vehicle that is in front of the first vehicle. The computing platform may determine a longitudinal distance between the first vehicle and the second vehicle by determining an orthogonal distance between a center-of-projection corresponding to the visible light camera, and an intersection of a backside plane of the second vehicle and ground below the second vehicle. The computing platform may send, to an autonomous vehicle control system, a distance estimation output corresponding to the longitudinal distance, which may cause the autonomous vehicle control system to perform vehicle control actions.

Abstract: A control system for a motor vehicle having a first control unit for controlling a first function of the motor vehicle and a second control unit for controlling a second function of the motor vehicle. In order to ensure, with the least possible additional complexity, that functions of a motor vehicle that are controlled by means of control units are properly executed even in the event of a faulty control unit, the control system has a third control unit for controlling the first function and the second function of the motor vehicle and, depending on the receipt of a fault signal of the first and/or second control unit by the third control unit, the third control unit can be configured such that the motor vehicle first and/or second function corresponding to the faulty control unit can be controlled by means of the third control unit alone.

Abstract: A system includes an acquisition unit that acquires an operation amount or a duration count, and a switching unit that switches a driving state. The switching unit switches the driving state to the cooperative driving state when the operation amount is equal to or greater than an intervention threshold and less than a start threshold or the duration count is equal to or greater than a first threshold and less than a second threshold during the autonomous driving state, switches the driving state to the autonomous driving state when the operation amount is less than the intervention threshold or the duration count is less than the first threshold during the cooperative driving state, and switches the driving state to the manual driving state when the operation amount is equal to or greater than the start threshold or the duration count is equal to or greater than the second threshold.

Abstract: A control device for a multi-stage automatic transmission-equipped vehicle includes a hydraulic power controller, a combustion controller configured to, if a predetermined combustion stop condition is satisfied when the vehicle is traveling, perform deceleration-period combustion stop control, and limit combustion restart triggered by a reduction in rotational speed of an internal combustion engine, during execution of the deceleration-period combustion stop control, and a motoring controller configured to control the rotational drive of the internal combustion engine by a motor during execution of the deceleration-period combustion stop control so that the rotational speed of the internal combustion engine is maintained at a predetermined rotational speed during a period of time from the time that the rotational speed of the internal combustion engine decreases to the predetermined rotational speed until downshifting to a predetermined gear ratio is completed.

Abstract: A vehicle system comprises an engine driving a vehicle, a front wheel and a rear wheel, a suspension device with an attachment portion to a vehicle body which is located at a higher level than a center axis of the rear wheel, an electromagnetic coupling to distribute a torque of the engine to the front wheel and the rear wheel, a steering wheel to be operated by a driver, a steering angle sensor to detect a steering angle corresponding to operation of the steering wheel, and a controller to control the engine and the electromagnetic coupling. The controller is configured to control the electromagnetic coupling such that the torque distributed to the rear wheel is increased in accordance with turning operation of the steering wheel which is detected by the steering angle sensor.

Abstract: Among other things, we describe techniques for traffic light estimation using range sensors. A planning circuit of a vehicle traveling on a first drivable region that forms an intersection with a second drivable region receives information sensed by a range sensor of the vehicle. The information represents a movement state of an object through the intersection. A traffic signal at the intersection controls movement of objects through the intersection. The planning circuit determines a state of the traffic signal at the intersection based, in part, on the received information.

Abstract: A method for selecting a main object for an assistance function or automated driving function of a driver assistance system or driving system of a motor vehicle, the system containing object selection branches which include a first rule-based object selection branch for selecting a main object for the function and a second object selection branch, the second object selection branch including an artificial neural network for selecting a main object for the function, having the following steps: Aggregating of sensor data of the at least one sensor to form one or more object data records; Evaluating a novelty of a traffic situation characterized by the aggregated object data records in relation to training data of the artificial neural network; Switching between the object selection branches of the system, a rule-based object selection branch being used when the novelty of the traffic situation exceeds a threshold value.

Abstract: According to various embodiments, a method for operating a vehicle may include determining a vehicular area having traffic conditions or characteristics different from traffic conditions of a current or previous location of the vehicle; obtaining traffic and driving information for the determined vehicular region; changing or updating one or more of driving model parameters of a safety driving model during operation of the vehicle based on the obtained traffic and driving information; and controlling the vehicle to operate in accordance with the safety driving model using the one or more changed or updated driving model parameters. A vehicle may seamlessly update operational rules and/or handover of traffic and driving information for transitioning from one region to another.

Abstract: An apparatus is provided which includes a processing circuit and a plurality of sensors connected to a vehicle, where at least one of the plurality of sensors is positioned on an undercarriage of the vehicle. The plurality of sensors can detect variations in a road on which the vehicle is traveling. The plurality of sensors can also generate information corresponding to the variations of the road. The plurality of sensors can also transmit the information corresponding to the variations in the road to the processing circuit. The information collected by the plurality of sensors may then be used to augment a driving capability of the vehicle.

Abstract: A system and method for determining a roadway bank angle based on vehicle information. The method may include the steps of: obtaining vehicle information from at least one vehicle, the vehicle information is obtained from at least one of a global navigational satellite system (GNSS) receiver and one or more onboard vehicle sensors, and the GNSS receiver and the one or more onboard vehicle sensors are installed in the at least one vehicle; performing a roadway bank angle determination process using the obtained vehicle information to obtain a roadway bank angle; and updating a representative roadway bank angle based on the roadway bank angle.

Abstract: A vehicle includes an information acquisition unit configured to acquire a movement of a body of a driver; and a controller configured to determine whether the movement of the body of the driver acquired by the information acquisition unit is a normal pattern of the driver.

Abstract: A processor associated with a vehicle receives sensor data from a plurality of sensors associated with a vehicle, where each sensor generates data corresponding to a different parameter of a passenger in the vehicle. Based on the sensor data, one or more primitive emotional indications are generated. The processor applies a model to the one or more primitive emotional indications that when applied outputs a contextualized emotional indication associated with the passenger that includes an assessment of an emotional state of the passenger and a reason for the emotional state. A contextual response is selected based on the contextualized emotional indication, and the processor causes an output by the vehicle to enact the contextual response.

Abstract: The present embodiments relate to selection and execution of one or more output actions relating to a modification of at least one feature of a vehicle using a user-specific profile model. A user-specific profile model associated with a user can be modified based on matching detected user characteristic data with any of a series of predetermined profile types. Vehicle environmental data can be processed using the user-specific profile model to generate an output action that modifies one or more vehicle features. The generated output action can be executed on the vehicle. The output actions can relate to any of entertainment features, safety features, and/or comfort features of the vehicle.

Abstract: The present embodiments relate to selection and execution of one or more output actions relating to a modification of at least one feature of a vehicle. A series of sensors on a vehicle can acquire data that can be used to identify vehicle environment characteristics indicative of a status of a vehicle environment and an emotional state of the user. The vehicle environment characteristics and the emotional state can be processed using a user model that corresponds to a user to generate one or more selected output actions. The output actions can be executed on the vehicle to increase user experience. The output actions can relate to any of entertainment features, safety features, and/or comfort features of the vehicle.

Abstract: Vehicle manipulation is performed using crowdsourced data. A camera within a vehicle is used to collect cognitive state data, including facial data, on a plurality of occupants in a plurality of vehicles. A first computing device is used to learn a plurality of cognitive state profiles for the plurality of occupants, based on the cognitive state data. The cognitive state profiles include information on an absolute time or a trip duration time. Voice data is collected and is used to augment the cognitive state data. A second computing device is used to capture further cognitive state data on an individual occupant in an individual vehicle. A third computing device is used to compare the further cognitive state data with the cognitive state profiles that were learned. The individual vehicle is manipulated based on the comparing of the further cognitive state data.

Abstract: A method, apparatus, and system for collecting and evaluating powered vehicle operation utilizing on-board diagnostic components and location determining components or systems. The invention creates one or more databases whereby identifiable behavior or evaluative characteristics can be analyzed or categorized. The evaluation can include predicting likely future events. The database can be correlated or evaluated with other databases for a wide variety of uses.

Abstract: A processor associated with a vehicle receives sensor data from a plurality of sensors in the vehicle. Each sensor is configured to measure a different parameter of a driver of the vehicle. The processor applies a model to the received sensor data, which when applied causes the processor to output a determination, based on the parameters of the driver, of attentiveness of the driver to driving the vehicle. Responsive to the determination indicating the driver is not attentive to driving the vehicle, the processor causes the vehicle to output an alert to the driver or to automatically control a driving function of the vehicle.

Abstract: A vehicular motion monitoring method comprises capturing motion observations on-board a vehicle with one or more sensors; mapping sets of motion observations onto a respective feature vector in an at least two-dimensional feature space, each feature vector having a first vector component representative of a longitudinal motion characteristic and a second vector component representative of a lateral motion characteristic; updating determinative parameters of a multivariate Gaussian probability density function modelling a population of collected feature vectors; assigning a riskiness indicator to each feature vector, the calculation of the riskiness indicator being based upon an event severity indictor indicative of how anomalous each feature vector is in comparison to the modelled population and upon a position of the feature vector relative to one or more previous and/or subsequent feature vectors; and integrating the riskiness indicator over time so as to obtain a risk assessment of driving style of the dri

Abstract: An apparatus (1) for calibrating an ADAS sensor of an advanced driver assistance system of a vehicle (9) positioned in a service area (8), comprises: a support structure (3); a vehicle calibration assistance structure (4), mounted on the support structure (3) and including a calibration device (41, 42) configured to facilitate aligning or calibrating the ADAS sensor of the vehicle (9); a positioning system; a computer (102), having access to a database (101) and configured to: receive one or more information items as input; query the database (101) to retrieve a reference parameter (111) and a geometric parameter (112) as a function of the input information; process the reference parameter (111) and the geometric parameter (112) to generate derived data (114) relating to a reference position of the vehicle calibration assistance structure (4).

Abstract: An apparatus (1) for calibrating an ADAS sensor of a vehicle (9) comprises: a base unit (2) including a plurality of wheels (20); a support structure (3) integral with the base unit (2); a vehicle calibration assistance structure (4), mounted on the support structure (3) and including a calibration device (41, 42) configured to facilitate aligning or calibrating the ADAS sensor; a position detector, configured to capture values of a position parameter representing a position of the support structure (3) relative to the vehicle (9); a processing unit, configured to process the values of the position parameter in real time to derive information regarding an actual position of the support structure (3) relative to the vehicle (9).

Abstract: A method for controlling vehicle functions to increase the well-being and/or to increase the attention of at least one vehicle user in a vehicle. A number of vehicle functions are activated when at least one specific user menu is selected. Here, a lead function assigned to the user menu from the number of vehicle functions is predetermined in each case and the time and content processes of the other vehicle functions assigned to the user menu are coordinated with respect to the lead function.

Abstract: An agricultural machine control method includes acquiring control information for an automatic operation mode, controlling the agricultural machine to perform an operation in the automatic operation mode according to the control information, and, in response to determining that the agricultural machine is in an abnormal status, sending an interrupt signal to the agricultural machine to cause the agricultural machine to stop moving and stop the operation. The control information includes an operation path of the agricultural machine.

Abstract: A device for controlling functions for a vehicle. The device includes a monolithically integrated circuit system. The circuit system includes a one-piece substrate including a first sub-section and a second sub-section, at least one first electrical circuit for safety-noncritical functions, and at least one second electrical circuit for safety-critical functions.

Abstract: Systems, apparatuses, and methods for detecting a user gesture or eye tracking for selecting of an object, and responding to the selection, are disclosed. A gesture or eye tracker may be placed near a user, along with a camera positioned to share at least a portion of a field of view with the user. The user may look or gesture to an object within the portion of the field of view, indicating its selection. The object may be recognized, and the user presented with one or more actions to take in response to the selected object.

Abstract: A changing operation assisting apparatus includes a driving assistance control section, an operation section, and an information providing section. The driving assistance control section stores set states regarding driving assistance functions of a vehicle and provides the functions in accordance with the set sates. The set state includes a request state of the function. The operation section is used for changing the set state. The information providing section provides information regarding the set state to a driver of the vehicle. Further, the driving assistance control section executes a setting change confirmation processing upon satisfaction of a specific condition. The setting change confirmation processing is a process of providing confirmation information to confirm whether or not to change the request state of the function, and changing the request state of the function when the driver performs an approving operation in accordance with the confirmation information.

Abstract: A vehicle automated driving system 100 comprises a surrounding environment information acquiring device 10, a vehicle information acquiring device 20, a driver information acquiring device 30, a package selecting part 90, a package proposing part 91, an automated driving executing part 92, and a rejection count detecting part 93. The package selecting part determines the driving assistance package based on at least one of the surrounding environment information, the vehicle information, and the driver information, selects the determined driving assistance package if the rejection count of the determined driving assistance package is less than a predetermined threshold value, and selects a driving assistance package different from the determined driving assistance package if the rejection count of the determined driving assistance package is the threshold value or more.

Abstract: A collision avoidance system for at least one off-road vehicle operating in an environment, wherein the collision avoidance system includes a receiving unit for receiving signals transmitted by transmitting units associated with other vehicles and/or objects, a processor for processing signals received by the receiving unit; and a display for displaying color patterns or sequences that indicates the type(s) of the vehicle and/or objects detected, wherein the display of the color patterns or sequences indicates the type(s) of the vehicles or objects detected in the environment by the receiving unit of the off-road vehicle.

Abstract: The disclosure relates to a method for displaying safety-relevant information on a display device of a vehicle. A speed of the vehicle, environment data representing an environment of the vehicle, a driver reaction time, and an emergency braking reaction time for an emergency braking driver assistance function are input, and used to superimpose an emergency braking marker and a driver intervention marker on the map representing a lane in which the vehicle is travelling in the display device. The emergency braking marker represents a future point in time and/or future location for an intervention of the emergency braking driver assistance function, and the driver intervention marker represents a future point in time and/or a future location for the latest possible intervention of the driver prior to the intervention of the emergency braking driver assistance function.

Abstract: A method for prompting an evasive maneuver by at least one first autonomous or semi-autonomous vehicle. A vehicle state of the at least one first vehicle is ascertained by a control unit of the at least one first vehicle. Vehicles within a minimum distance are ascertained by the at least one first vehicle. The ascertained data of the at least one first vehicle are transmitted within the minimum distance to ascertained vehicles by the at least one first vehicle in order to prompt an adaptation of a trajectory and/or a speed of the ascertained vehicles. The at least one first vehicle being transferred into a safe state. A system is also provided.

Abstract: A driving assistance device includes: an information receiver configured to receive information required for estimation of an other vehicle predicted route which is a predicted traveling route of another vehicle, from the other vehicle through wireless communication; and an electronic control unit configured to acquire a host vehicle predicted route which is a predicted travel route of a host vehicle, acquire the other vehicle predicted route; provide a warning to a driver of the host vehicle when the host vehicle predicted route and the other vehicle predicted route intersect each other, and prohibit the electronic control unit from providing the warning when determining that a predetermined parking lot traveling condition is satisfied, the predetermined parking lot traveling condition being a condition that is satisfied when the electronic control unit determines that the host vehicle is likely to be traveling in a parking lot.

Abstract: There is provided a control device configured to perform a collision preventing control based on an output of an obstacle detection unit. A risk level determination unit determines a collision risk level based on a distance between the obstacle and the electric vehicle. A control level adjustment unit adjusts a control level of the collision preventing control based on the collision risk level. The control level adjustment unit lowers the control level when a releasing unit configured to temporarily release the collision preventing control is operated by a driver during the collision preventing control and causes the electric vehicle to display presence of the obstacle.

Abstract: To allow an alarm vibration generated by a vibration generator to be recognized by a user through a vibration transmission member. A vehicle alarm device (100) includes a vibration generator (30) configured to generate an alarm vibration having a frequency corresponding to a frequency of a received alarm signal, a vibration transmission member (90) configured to transmit the alarm vibration to a user, a travel situation information acquisition unit (70) configured to acquire travel situation information in accordance with a travel situation of the vehicle, and an alarm signal generator (70) configured to generate the alarm signal such that when the value of the acquired travel situation information is high, a signal to be inputted to the vibration generator (30) includes at least a high-band frequency and such that when the value of the travel situation information is low, the signal to be inputted to the vibration generator (30) includes at least a low-band frequency.

Abstract: Disclosed are autonomous vehicles that may autonomously navigate at least a portion of a route defined by a service request allocator. The autonomous vehicle may, at a certain portion of the route, request remote assistance. In response to the request, an operator may provide input to a console that indicates control positions for one or more vehicle controls such as steering position, brake position, and/or accelerator position. A command is sent to the autonomous vehicle indicating how the vehicle should proceed along the route. When the vehicle reaches a location where remote assistance is no longer required, the autonomous vehicle is released from manual control and may then continue executing the route under autonomous control.

Abstract: Various examples are directed to systems and methods for routing autonomous vehicles. A system may receive an indication of a roadway element associated with a routing graph for routing autonomous vehicles and may determine an impact score for the roadway element. The impact score may describe an impact of applying a routing graph modification to the routing graph to modify routing to the roadway element. Based at least in part on the impact score, the system may apply the routing graph modification to the routing graph to generate a constrained routing graph and generate a route for a first autonomous vehicle based at least in part on the constrained routing graph. The system may instruct the first autonomous vehicle to begin traversing the route.

Abstract: Various examples are directed to systems and methods for controlling an autonomous vehicle. For example, a navigator system at an autonomous vehicle may generate a plurality of local routes beginning at a vehicle location and extending to a plurality of local route end points. The navigator system may access general route cost data, the general route cost data describing general route costs from the plurality of local route end points to a trip end point. The navigator system may select the first local route of the plurality of routes based at least in part on the general route cost data. A vehicle autonomy system at the autonomous vehicle may begin to control the autonomous vehicle along the first local route.

Abstract: An autonomous vehicle uses machine learning based models to predict hidden context attributes associated with traffic entities. The system uses the hidden context to predict behavior of people near a vehicle in a way that more closely resembles how human drivers would judge the behavior. The system determines an activation threshold value for a braking system of the autonomous vehicle based on the hidden context. The system modifies a world model based on the hidden context predicted by the machine learning based model. The autonomous vehicle is safely navigated, such that the vehicle stays at least a threshold distance away from traffic entities.

Abstract: A vehicle control device is provided with a timing selection unit configured to select, during automated driving, either one of a first notification timing at which notification of a driving takeover request is issued in the case that a remaining distance to a scheduled switching point from the automated driving to manual driving has become less than or equal to a predetermined distance, and a second notification timing at which notification of the driving takeover request is issued in the case that a remaining time period until reaching the scheduled switching point is less than or equal to a predetermined time period, wherein the timing selection unit selects the first notification timing or the second notification timing based on a present travel speed or a scheduled travel speed.

Abstract: A safety device for use in a vehicle which is configured to be operated at least intermittently in an automated driving mode, in which the vehicle drives in an automated manner, and which includes a first data source which is designed as a human machine interface and configured to output data about a driving status, including computing device and a first data interface, the safety device being configured to receive data about the driving status from the first data source via the first data interface, the safety device being configured to receive data about the driving status from a second data source different from the first data source, and the safety device being configured to output pieces of information about the driving status to a driver, using an information output device and based on the data received from the first data source and the second data source.

Abstract: A learning method for calculating collision probability, to be used for determining whether it is appropriate or not to switch driving modes of a vehicle capable of an autonomous driving, by analyzing a recent driving route of a driver is provided. And the method includes steps of: (a) a learning device, on condition that a status vector and a trajectory vector are acquired, performing processes of (i) instructing a status network to generate a status feature map and (ii) instructing a trajectory network to generate a trajectory feature map; (b) the learning device instructing a safety network to calculate a predicted collision probability representing a predicted probability of an accident occurrence; and (c) the learning device instructing a loss layer to generate a loss by referring to the predicted collision probability and a GT collision probability, which have been acquired beforehand, to learn at least part of parameters.

Abstract: A system, a transportation vehicle, a network component, apparatuses, methods, and computer programs for a transportation vehicle and a network component. The method for a transportation vehicle to determine a route section includes operating the transportation vehicle in an automated driving mode and determining an exceptional traffic situation. The method also includes transmitting information related to the exceptional traffic situation to a network component using a mobile communication system and receiving information related to driving instructions for the route section to overcome the exceptional traffic situation from the network component.

Abstract: The present technology relates to an intelligent road infrastructure system and, more particularly, to systems and methods for a heterogeneous connected automated vehicle highway (CAVH) network in which the road network has various RSU and TCU/TCC coverages and functionalities. The heterogeneous CAVH network facilitates control and operations for vehicles of various automation level and other road users by implementing various levels of coordinated control among CAVH system entities and providing individual road users with detailed customized information and time-sensitive control instructions, and operations and maintenance services.