Abstract: The present invention provides a method for generating a virtual navigation route, by obtaining multiple navigation points each with a flag data; identifying at least two lanes from a front video data; creating a navigation characteristic image according to the flag data, the navigation points, the front video data, and the at least two lanes, wherein the navigation characteristic image has multiple dotted grids; calculating a probability of a navigation route passing through each dotted grid, and setting the dotted grid with the highest probability calculated in each row of the navigation characteristic image as a first default value; and fitting curves for the grids with the first default value as the navigation route; the navigation route is generated in real time and projected over the front video data using an augmented reality (AR) method, achieving AR effects and navigating with better representation of the traffic.

Abstract: The subject matter described in this specification is generally directed control architectures for an autonomous vehicle. In one example, a reference trajectory, a set of lateral constraints, and a set of speed constraints are received using a control circuit. The control circuit determines a set of steering commands based at least in part on the reference trajectory and the set of lateral constraints and a set of speed commands based at least in part on the set of speed constraints. The vehicle is navigated, using the control circuit, according to the set of steering commands and the set of speed commands.

Abstract: A method for determining a motion state of an object in the surroundings of a vehicle. The vehicle includes at least one vehicle camera for providing image data that represent the surroundings. Movability measures and pieces of quality information that are generated by processing the image data, are read in. The movability measures include generated continuous measured values for detecting moving object pixels, using correspondences, recognized using a correspondence algorithm, between pixels in successive images represented by the image data. Pixel-specific pieces of quality information are generated using the read-in pieces of quality information. The pixel-specific pieces of quality information indicate for each pixel the quality of the correspondences. A dynamic object probability is determined for each pixel, using the movability measures and the pixel-specific pieces of quality information.

Abstract: To improve road safety, a method for warning about a hazardous situation in road traffic is specified, wherein the hazardous situation is identified by means of a vehicle guidance system and a warning system is to used to determine whether a road user is within an effective range in surroundings of a motor vehicle. Depending on the identified hazardous situation, the warning system is used to transmit a warning signal to the road user before an automatic reaction to the hazardous situation is initiated or prepared by means of the electronic vehicle guidance system.

Abstract: An on-board sensor system includes: a first sensor configured to detect a situation around a vehicle; a second sensor having a higher angular resolution than the first sensor; an acquisition unit configured to acquire a detection result of the first sensor; and a range decision unit configured to decide, based on the detection result, an observation range to be observed by the second sensor around the vehicle.

Abstract: A control system (10, 19, 185C) for a vehicle (100), the system comprising a processing means (10, 19) arranged to receive, from terrain data capture means (185C) arranged to capture data in respect of terrain ahead of the vehicle by means of one or more sensors, terrain information indicative of the topography of an area extending ahead of the vehicle (100), wherein the terrain information comprises data defining at least one 2D image of the terrain ahead of the vehicle, wherein the processing means (10, 19) is configured to: perform a segmentation operation on image data defining one said at least one 2D image and identify in the image data edges of a predicted path of the vehicle; calculate a 3D point cloud dataset in respect of the terrain ahead of the vehicle based on the terrain information; determine the 3D coordinates of lateral edges of the predicted path of the vehicle by reference to the point cloud dataset, based on the coordinates of edges of the predicted path identified in the 2D image, to dete

Abstract: A graphical ultrasonic module and driver assistance system are provided. The graphical ultrasonic module includes an ultrasonic sensor array and an ultrasonic transmitter array. The ultrasonic sensor array includes three or more ultrasonic sensors, and the ultrasonic sensors form a virtual plane. The ultrasonic transmitter array includes a plurality of ultrasonic transmitters. The geometric center of the ultrasonic transmitter array is substantially the same as the geometric center of the ultrasonic sensor array.

Abstract: A method for operating an angle resolving radar device for automotive applications comprises: routing at least a first and second antenna signal between a radar circuit and an antenna device, wherein the first and second antenna signals are routed via a common signal port of the radar circuit; transducing between the first antenna signal and a first radiation field, the first radiation field having a first phase center, and between the second antenna signal and a second radiation field, the second radiation field having a second phase center, wherein a location of the second phase center is shifted with respect to a location of the first phase center; constructing at least one angle resolving virtual antenna array using the location of the first phase center as a first antenna position and the location of the second phase center of the second radiation field as a second antenna position.

Abstract: The disclosure includes embodiments for extracting roadway features from Vehicle-to-Everything (V2X) data to build a map having an improved accuracy. In some embodiments, a method for a connected vehicle includes transmitting, via a communication unit of the connected vehicle, a V2X message that includes V2X data. The method includes receiving, via the communication unit, map data describing a map that depicts one or more roadway features in a roadway region of the connected vehicle. The one or more roadway features are generated through a vehicle clustering analysis based on an aggregation of the V2X data in the roadway region so that an accuracy of the map is improved. The method includes modifying an operation of a vehicle control system of the connected vehicle based on the map data to improve the operation of the connected vehicle by reducing a risk of a collision involving the connected vehicle.

Abstract: Automated parking lot digital map generation and use thereof is disclosed. Imagery of a parking lot is received from a video camera, the imagery depicting lines that define a plurality of parking spots. A parking lot digital map comprising data that defines a location and dimensions of each parking spot is generated. The parking lot digital map is stored in a memory.

Abstract: An object is to share information of detected obstacles on a road among communication devices, using efficient communication. A communication device according to the present disclosure includes: a wireless receiving unit for receiving wireless information including first obstacle information of a first obstacle which is at least one obstacle, from outside; a first obstacle extraction unit for extracting the first obstacle information from the wireless information; a second obstacle detection unit for detecting second obstacle information of a second obstacle which is at least one obstacle present in an own surrounding area by a sensor; and an overlap information removing unit which, if there is overlap obstacle information between the first obstacle information and the second obstacle information, removes the overlap obstacle information from the second obstacle information, to generate difference obstacle information.

Abstract: A vehicle computing system may identify an obstruction along a route of travel and may connect to a service computing device for guidance. The service computing device may include a guidance system configured to receive waypoint and/or orientation input from an operator. The operator may evaluate the scenario and determine one or more waypoints and/or associated orientations for the vehicle to navigate the scenario. In some examples, the guidance system may validate the waypoint(s) and/or associated orientation(s). The service computing device may send the waypoint(s) and/or associated orientation(s) to the vehicle computing system. The vehicle computing system may validate the waypoint(s) and/or associated orientation(s) and, based on the validation, control the vehicle according to the input. Based on a determination that the vehicle has navigated the scenario, the guidance system may release vehicle guidance back to the vehicle computing system.

Abstract: Vehicles according to at least some embodiments of the disclosure include a sensor, and a computing device comprising at least one hardware processing unit. The computing device is programmed to perform operations comprising capturing an image with the sensor, identifying an object in the image, and in response to an accuracy of the identification meeting a first criterion, pre-loading a braking system of the autonomous vehicle. In some aspects, the computing device may predict that an object not currently within a path of the vehicle has a probability of entering the path of the vehicle that meets a second criterion. When the probability of entering the path meets the second criterion, some of the disclosed embodiments may pre-load the braking system.

Abstract: A vehicular control system includes a central control module vehicle, a plurality of vehicular cameras disposed at a vehicle and viewing exterior of the vehicle, and a plurality of radar sensors disposed at the vehicle and sensing exterior of the vehicle. The central control module receives vehicle data relating to operation of the vehicle. The central control module is operable to process (i) vehicle data, (ii) image data and (iii) radar data. The central control module at least in part controls at least one driver assistance system of the vehicle responsive to (i) processing at the central control module of vehicle data, (ii) processing at the central control module of image data captured by at least the forward-viewing vehicular camera and (iii) processing at the central control module of radar data captured by at least a front radar sensor.

Abstract: A method of wireless communication by a device includes detecting whether the device is in an outdoor environment in response to a start of a reevaluation timer. The method also determines a mobility level of the device in response to the start of the reevaluation timer. The method further includes enabling a vehicle-to-everything (V2X) pedestrian mode in response to the device being in the outdoor environment and/or the mobility level exceeding a threshold value.

Abstract: A vehicle alert apparatus acquires an object distance between an object and a vehicle, presumes a predicted moving route of the vehicle when the object distance is shorter than or equal to a threshold object distance. The vehicle alert apparatus calculates a collision distance which the vehicle has moves along the predicted moving route until the vehicle collides with the object or the vehicle has moved to a position closest to the object when determining that the vehicle potentially collides with the object, based on the predicted moving route. The vehicle alert apparatus performs a first alert when the collision distance is larger than a threshold collision distance. The vehicle alert apparatus performs a second alert having a higher alert level of alerting the driver than the alert level of the first alert when the collision distance is shorter than or equal to the threshold collision distance.

Abstract: The present invention proposes an ECU and a lane departure warning system capable of improving safety of all traveling vehicles including a host vehicle by using an environment sensor to warn another vehicle about departure of the other vehicle from a lane. An ECU (13) detects the departure from the lane. The ECU (13) determines whether another vehicle (100) leaves the lane on the basis of a detection signal from an environment sensor (11), and visually or aurally warns the other vehicle (100) in the case where the other vehicle (100) leaves the lane.

Abstract: There is provided a driving assistance device that executes deceleration assistance of a host vehicle when a relative situation between a deceleration object in front of the host vehicle and the host vehicle satisfies a preset deceleration assistance precondition and a driver of the host vehicle does not operate an accelerator and a brake, the driving assistance device including a first deceleration assistance execution unit configured to execute a first deceleration assistance when the deceleration assistance precondition is satisfied in a state in which the driver of the host vehicle does not operate the accelerator and the brake, and a second deceleration assistance execution unit configured to execute a second deceleration assistance when the driver releases the accelerator or the brake in a state in which the deceleration assistance precondition is satisfied.

Abstract: A parking lot management device configured to manage traveling of vehicles by setting a scheduled passage time for each node indicating a travel route in a parking lot includes: an acquisition unit configured to acquire an actual passage time at which a first vehicle has actually passed a first node; a determination unit configured to determine a collision risk between a second vehicle and the first vehicle based on the actual passage time, the second vehicle being scheduled to pass, following the first vehicle, a second node that is located forward of the first node in a traveling direction of the first vehicle; and a setting unit configured to delay a first scheduled passage time at which the second vehicle passes the second node to cause the second vehicle to pass the second node following the first vehicle when it is determined that there is the collision risk.

Abstract: The attention calling system includes a detection unit for detecting an object around a moving body, and a attention calling unit for outputting a visual display in a horizontally extending belt-like range on an interior structure of the moving body using a light projection device. The attention calling unit outputs the visual display in the belt-like range at a position corresponding to a direction of the object.

Abstract: A method for displaying and/or calculating relative movement of a second moved object to a first moved object, wherein a future first change in position of the first object is calculated from an expired first change in position, and wherein a future second change in relative position of the second object is calculated from an expired second change in relative position, which future first change in position is compared with the future second change in relative position.

Abstract: A computer-implemented method includes receiving a vehicle condition query via a computer network and retrieving condition data corresponding to a vehicle from a vehicle condition database. Further, the method includes determining a condition of the vehicle based on a collective analysis of the condition data, where the condition of the vehicle includes a market value of the vehicle and an overall quality level of the vehicle, and receiving a geographic location of a computing device. Still further, the method includes generating a vehicle condition report, where the vehicle condition report includes an interactive image of a first set of one or more visual condition descriptors indicative of the condition of the vehicle. Moreover, the method includes customizing the vehicle condition report according to the climate associated with the geographic location for the computing device, and communicating the vehicle condition report to the second computing device.

Abstract: Provided herein is technology related to a distributed driving system (DDS) that provides transportation management and operations and vehicle control for connected and automated vehicles (CAV) and intelligent road infrastructure systems (IRIS) and particularly, but not exclusively, to methods and systems for sending individual vehicles with customized, detailed, and time-sensitive control instructions and traffic information for automated vehicle driving, such as vehicle following, lane changing, route guidance, and other related information.

Abstract: A vehicle driving assistance system includes a travel route generation system that acquires travel road information and obstacle information acquired by sensor(s), and generates the target travel route, on which a host vehicle travels, on a travel road. When the host vehicle changes lanes, the system acquires information on three peripheral vehicles, which exist near the host vehicle, on a change destination lane from the obstacle information, sets a target space, to which the host vehicle 1 should move, between two each of the three peripheral vehicles on the change destination lane based on this information on the three peripheral vehicles, predicts a change in size of each of the target spaces, and generates the target travel route, on which the host vehicle travels during the lane change, on the basis of this predicted change in the size of each of the target spaces.

Abstract: The present application generally relates to a method and apparatus for generating an action policy for controlling an autonomous vehicle. In particular, the method and apparatus are operative for detecting, by a vehicle sensor, a distance from a host vehicle to a lane edge, determining a status of a vehicle system, calculating, by a processor, a risk index in response to the status of the vehicle system, calculating, by the processor, an intervention threshold in response to the risk index, generating, by the processor, a vehicle path in response to the distance of the host vehicle to the lane edge being less than the intervention threshold, and controlling the vehicle, by a vehicle controller, in response to the vehicle path.

Abstract: A vehicle control apparatus calculates an approximation equation of an N-th degree function as a movement trajectory of a preceding vehicle from at least two pieces of relative position information. The vehicle control apparatus also calculates a coefficient of a predetermined degree in each approximation equation, and in the calculation of the coefficient of the predetermined degree and uses an approximation equation calculated from the at least two pieces of relative position information acquired when setting a retrospective range to the same range or a narrower range compared to when calculating a coefficient of a relatively low degree when calculating a coefficient of a relatively high degree. The vehicle control apparatus also uses an approximation equation when setting the retrospective range to a narrower range compared to when calculating a coefficient of a lowest degree at least when calculating a coefficient of a highest degree.

Abstract: An electronic circuit comprises at least one radiation-emitting element (2), a current regulator (12) with a current-producing terminal (O), and a measurement element (14) generating a signal (Vmes) that is representative of the current flowing therethrough. A switch (6) is controlled by a modulation signal (M) so as to open and close, successively, an electrical path passing through the current-producing terminal (O), the radiation-emitting element (2) and the measurement element (14). A conversion circuit (16) is further interposed between the measurement element (14) and the current regulator (12) so as to transform the representative signal (Vmes) into a smoothed signal (S) that is intended for a regulation terminal (Reg). A time-of-flight sensor comprising such an electronic circuit is also provided.

Abstract: Systems and methods for processing telematics data streams for event detection are provided. The methods involve operating at least one processor to: receive a telematics data stream; define a plurality of sliding windows for the telematics data stream, each sliding window containing a portion of the telematics data stream, each sliding window overlapping with one or more neighboring sliding windows, each sliding window including: a logical window; a first buffer preceding the logical window; and a second buffer following the logical window; the logical window being adjacent with one or more neighboring logical windows of the one or more neighboring sliding windows without overlapping the one or more neighboring logical windows; identify a vehicle event based on the portion of the telematics data stream contained within one of the sliding windows; and store an indication of the vehicle event.

Abstract: A method for the adaptation of a driving behavior of a vehicle by a control unit. Measurement data collected by at least one radar sensor and/or LIDAR sensor are received and, by evaluating the received measurement data, at least one obstacle within a scanning range of the radar sensor and/or LIDAR sensor is ascertained. Based on the ascertained obstacle and an installation position of the radar sensor and/or LIDAR sensor, a section of the scanning range concealed by the obstacle is ascertained. An object prediction is generated for the concealed section of the scanning range that a dynamic object may potentially cross a driving lane of the vehicle from the concealed section of the scanning range. A driving behavior of the vehicle is adapted as a function of the situation based on the object prediction. A control unit, a computer program, and a machine-readable storage medium are also described.

Abstract: A vehicle acquires position information of the obstacle, identifies a collision point that may collide with the obstacle based on the acquired position information of the obstacle, controls one of steering and braking based on the position information of the identified collision point, and when controlling the steering, acquires a collision avoidance margin distance value corresponding to the position information of the identified collision point, predicts the collision position based on the position information of the obstacle and the information detected by the velocity detector, acquires a distance value between the predicted collision position and the current position, acquires a lateral movement distance value based on the acquired distance value and a preset turning radius of the vehicle, acquires a steering angle based on the acquired lateral movement distance value and the acquired collision avoidance margin distance value and controls steering based on the acquired steering angle.

Abstract: Systems and methods are provided for navigating a vehicle to veer around a lane obstruction safely into a neighboring lane. The system may plan a trajectory around the obstructed lane. Over a temporal horizon, the system determines temporal margins by measuring an amount of time between a predicted state of a moving actor in the neighboring lane and a predicted state of the vehicle. The system identifies a minimum temporal margin of the temporal margins and determines whether the minimum temporal margin is equal to or larger than a required temporal buffer. If the minimum temporal margin is equal to or larger than the required temporal buffer, the system generates a motion control signal to cause the vehicle to follow the trajectory to veer around the obstruction into the neighboring lane. Otherwise, the system generates a motion control signal to cause the vehicle to reduce speed or stop.

Abstract: This document describes a pedestrian alert system that can draw a driver's attention to a pedestrian on or near a roadway. The described pedestrian alert system can help prevent collisions with pedestrians and other objects in poor visibility environments or when drivers may be distracted. For example, a system can determine a presence of an object in or near a travel path of a host vehicle. The system can also determine the object's position relative to the host vehicle and control a light bar to provide an indication of the object. The indication can have specific characteristics to indicate the object's position relative to the host vehicle. In this way, the described pedestrian alert system can utilize sensors to focus a driver's attention on an object before a potential crash occurs and reduce the number of traffic-related deaths.

Abstract: An example trailer monitoring system includes a trailer monitoring unit (TMU) that has an image capture arrangement disposed within the TMU, the image capture arrangement to capture first image data, and an accelerometer carried by the TMU, the accelerometer to generate acceleration data of the TMU. The system also has one or more processors configured to access the acceleration data and configured to compare the acceleration data to a reference acceleration data range to determine if the acceleration data is within the reference acceleration range, in response to the acceleration data being outside the reference acceleration data range, the one or more processors are to record an impact event associated with the TMU being impacted, and in response to the acceleration data being outside the reference acceleration data range, the one or more processors are to generate a message associated with the impact event.

Abstract: Aspects of the disclosure relate to controlling a vehicle having an autonomous driving mode. This may include receiving, by one or more processors of the vehicle, first information identifying a current relative humidity measurement within a sensor housing of a vehicle having an autonomous driving mode. The relative humidity measurement and pre-stored environmental map information may be used by the one or more processors to estimate a condition of a sensor within the sensor housing at a future time. This estimated condition may be used by the one or more processors to control the vehicle.

Abstract: The invention discloses a method, system and related device of implementing vehicle automatic loading and unloading, so as to achieve the automatic loading and unloading of the unmanned vehicle. The method includes: controlling, by a vehicle controller, a vehicle to drive automatically and stop at a loading and unloading position; obtaining, by a loading and unloading control apparatus corresponding to the loading and unloading position, vehicle identification information of the vehicle; verifying the vehicle identification information and controlling a loading and unloading machine to load and unload when the verification succeeds; sending a loading and unloading completion indication to the vehicle controller after the loading and unloading is completed; and controlling, by the vehicle controller, the vehicle to leave the loading and unloading position when receiving the loading and unloading completion indication.

Abstract: An autonomous vehicle safety system may activate to prevent collisions by detecting that a planned trajectory may result in a collision. If the safety system is overly sensitive, it may cause false positive activations, and if the system isn't sensitive enough the collision avoidance system may not activate and prevent a collision, which is unacceptable. It may be impossible or prohibitively difficult to detect false positive activations of a safety system and it is unacceptable to risk a false negative, so tuning the safety system is notoriously difficult. Tuning the safety system may include detecting near-miss events using surrogate metrics, and tuning the safety system to increase or decrease a rate of near-miss events as a stand-in for false positives.

Abstract: A system for providing remote assistance to an autonomous vehicle is disclosed herein. The system includes at least one remote assistance button configured to be selectively activated to initiate remote assistance for the autonomous vehicle. Each remote assistance button corresponds to a dedicated remote assistance function for the autonomous vehicle. For example, the system can include remote assistance buttons for causing the autonomous vehicle to stop, decelerate, or pull over. The system includes a controller configured to detect activation of the remote assistance button(s) and to cause remote assistance to be provided to the autonomous vehicle in response to the activation. For example, the autonomous vehicle may perform an action corresponding to the activated button with input assistance from the controller but without the system taking over control of the autonomous vehicle.

Abstract: In accordance with various implementations, a method is performed at an electronic device with one or more processors, a non-transitory memory, and a display. The method includes determining an engagement score that characterizes a level of engagement between a user and a first object. The first object is located at a first location on the display. The method includes determining an interruption priority value that characterizes a relative importance of signaling a presence of a second object to the user. The second object is detectable by the electronic device. In some implementations, the method includes presenting the second object according to one or more output modalities of the electronic device. The method includes, in response to determining that the engagement score and the interruption priority value collectively together satisfy an interruption condition, presenting a notification.

Abstract: A method determines damage which occurs on the vehicle in the event of an accident between a vehicle and a collision partner. The method analyzes information about an acceleration profile of the vehicle provided by an acceleration sensor. The analysis is performed as to whether the acceleration profile exhibits at least one sudden change or jump. The method generates an output signal which includes an item of information about damage which has occurred on the vehicle in the event of the accident, based on a number of changes or jumps which are identified during the analysis of the acceleration profile.

Abstract: Certain aspects provide a method for radar detection by an apparatus. The method including transmitting a radar waveform in transmission time intervals (TTIs) to perform detection of a target object. The method further includes varying the radar waveform across TTIs based on one or more radar transmission parameters.

Abstract: One or more driving analysis computing devices in a driving analysis system may be configured to analyze driving data, determine driving behaviors, and determine whether a collision is imminent or has occurred using vehicle-to-vehicle (V2V) communications. Determination of whether a collision has occurred may be based on X-axis, Y-axis, and Z-axis positional data from two vehicles. Driving data from multiple vehicles may be collected by vehicle sensors or other vehicle-based systems, transmitted using V2V communications, and then analyzed and compared to determine various driving behaviors by the drivers of the vehicles.

Abstract: Aspects of the disclosure relate generally to generating and providing route options for an autonomous vehicle. For example, a user may identify a destination, and in response the vehicle's computer may provide routing options to the user. The routing options may be based on typical navigating considerations such as the total travel time, travel distance, fuel economy, etc. Each routing option may include not only an estimated total time, but also information regarding whether and which portions of the route may be maneuvered under the control of the vehicle alone (fully autonomous), a combination of the vehicle and the driver (semiautonomous), or the driver alone. The time of the longest stretch of driving associated with the autonomous mode as well as map information indicating portions of the routes associated with the type of maneuvering control may also be provided.

Abstract: A warning condition adjusting apparatus may include: a processor configured to determine whether a parking direction of an ego vehicle is a first direction or a second direction, using traveling information of a target vehicle; and to maintain a preset warning condition of a rear cross collision warning (RCCW) system when the parking direction of the ego vehicle is the first direction, and change the warning condition of the RCCW system when the parking direction of the ego vehicle is the second direction.

Abstract: A method of analysing and tracking machine systems has the steps of sensing operational data from equipment, the operational data comprising at least location, time, and one or more operational condition data related to the equipment; analysing the operational data to identify data patterns; logging the data patterns as events in a database; comparing the events to a database of predetermined patterns to classify each data pattern as a known event or an unknown event; updating the database to include a new data pattern related to any unknown events; and alerting a user to further classify the unknown events manually.

Abstract: Disclosed is a dynamic collision avoidance method for an unmanned surface vessel based on route replanning. The method comprises the following steps: acquiring navigation information and pose information of a neighboring ship of an unmanned vessel itself via a vessel-borne sensor; constructing a collision cone between the unmanned vessel and the neighboring ship; introducing a degree of uncertainty with respect to observing movement information of the neighboring ship and applying a layer of soft constraint to the collision cone; applying a speed and a heading limit range of the unmanned vessel; acquiring an ultimate candidate speed set; introducing a cost function to select an optimum collision avoidance speed; and performing an internal recycle of navigation simulation with the optimum collision avoidance speed to obtain a route replanning point for dynamic collision avoidance of the unmanned vessel.

Abstract: An example method includes detecting a potential threat to a vehicle that is external to the vehicle, determining a severity level of the potential threat and a location of the potential threat relative to the vehicle, and displaying an indication of the potential threat on an electronic display in a particular portion of the electronic display corresponding to the location and with a particular display attribute corresponding to the severity level. The particular portion is one of a plurality of different portions of the electronic display each corresponding to different threat locations, and the particular display attribute is one of a plurality of different display attributes corresponding to different severity levels. A corresponding system that detects and displays notifications of potential threats is also disclosed.

Abstract: Biometric data are collected about a user in a vehicle. A user is prompted to provide an input on a wearable device to identify an object based on the biometric data.

Abstract: A vehicle display control apparatus is equipped with a display device, and a control unit that causes the display device to display a peripheral screen for presenting a driver of an own vehicle with a position of a different vehicle running around the own vehicle with respect to the own vehicle. The control unit is configured to acquire the position of the different vehicle with respect to the own vehicle and a driving manner score as a numerical rating scale representing how good driving manners of the different vehicle are, and display the driving manner score on the peripheral screen in such a manner as to correspond to the position of the different vehicle with respect to the own vehicle.

Abstract: The present disclosure relates to an active rear collision avoidance apparatus and method. The apparatus includes a sensor for acquiring information by detecting at least one of a preceding vehicle, a vehicle at risk of collision or other vehicles; and a controller for determining a possibility of collision between the vehicle at risk of collision and the host vehicle, determining a direction of avoidance preferentially from where an avoidable area exists in response to the driving of the vehicle at risk of collision, if the possibility of collision is higher than or equal to a threshold point, controlling the host vehicle to drive to avoid in the determined direction of avoidance, and controlling the host vehicle to drive to avoid a possible collision in response to a response to the transmitted avoidance request signal from the preceding vehicle and/or the other vehicle.

Abstract: A system configured to determine candidate sets of values for enforceable parameters for a physical system, and for each candidate set of values, determine a performance measurement for the physical system and generate a data point having an input portion indicative of the candidate set of values and an output portion indicative of the determined performance measurement. The system is further arranged to augment each data point to include an additional dimension comprising a bias value; project each augmented data point onto a surface of a unit hypersphere of the first number of dimensions; determine, using the projected augmented data points, a set of parameter values for a sparse variational Gaussian process, GP, on said unit hypersphere; and determine, using the sparse variational GP with the determined set of parameter values, a further set of values for the set of enforceable parameters.