Abstract: A marine vessel display device includes an imager that images surroundings of a vessel body, an image processor that generates a bird's-eye view image based on images captured by the imager, a display provided in the vessel body and that displays the bird's-eye view image, and a controller. The controller is configured or programmed to perform a control to switch an image displayed on the display from the bird's-eye view image to an object image obtained by imaging in a direction toward an object from the vessel body based on object information.

Abstract: A lamp device mounted on either side of a bumper of a vehicle includes a lamp casing installed in the bumper; a guide lamp provided at an upper side inside the lamp casing and configured to project light in a predetermined pattern on a road surface to guide a traveling direction of the vehicle; and an illumination lamp provided at a lower side inside the lamp casing and configured to diffuse the light in a traveling direction of the vehicle to illuminate the traveling direction of the vehicle, in which the guide lamp includes a first light source provided at the upper side inside the lamp casing; and a first lens unit provided in front of the first light source and configured to project the light from the first light source in a predetermined pattern on the road surface in order to guide the traveling direction of the vehicle.

Abstract: A computer in a vehicle is programmed to receive sensor data about a vehicle occupant, select a category of behavior of the occupant based on the sensor data, and navigate to a predetermined location based on the selected category. The vehicle may be an autonomous vehicle that can be operated by the computer.

Abstract: Provided is a radar apparatus. The radar apparatus includes a controller configured to generate a variable delay control signal whose value varies with time, a clock generator configured to generate a transmission clock and a reception clock delayed by a delay time varying according to the variable delay control signal than the transmission clock, a transmitter configured to emit a transmission pulse through a transmission antenna based on the transmission clock, a first receiver configured to receive a first echo pulse that the transmission pulse is reflected from a target through a first reception antenna and configured to generate a first recovery signal corresponding to the first echo pulse based on the reception clock, and a second receiver configured to receive a second echo pulse that is the transmission pulse reflected from the target through a second reception antenna and configured to generate a second recovery signal corresponding to the second echo pulse based on the reception clock.

Abstract: A driving assistance system includes a sensor set, a data storage device and an output device. The sensor set observes apparent states of each road user of the plurality of road users at successive time steps, the data processor assigns a behavioral model stored in the data storage device, the data processor calculating a new maneuver distribution that is a probability distribution over a finite plurality of alternative maneuvers and a new state distribution that is a probability distribution of possible states for each alternative maneuver of the finite plurality of alternative maneuvers. The data processor determines a risk of collision of the road vehicle with another road user, based on the new maneuver and state distributions of the target road user, and outputs one or more of a driver warning signal and executes an avoidance action if the risk of collision exceeds a predetermined threshold.

Abstract: A headlight control system controls a headlight of a moving object. The moving object includes the headlight including a plurality of light emission units, and an imaging unit configured to capture images of circumstances in front. The headlight control system includes an irradiation pattern controller configured to perform control for changing at least one of presence or absence of light emission and a degree of light emission of each of the light emission units to change an irradiation pattern of the headlight to one of a plurality of irradiation patterns, an imaging controller configured to perform control such that the imaging unit captures the images of the circumstances in front for each of the irradiation patterns to acquire captured images, and a learning unit configured to learn an irradiation pattern suitable for the circumstances in front based on captured images captured for each of the irradiation patterns.

Abstract: The collision prediction apparatus is installed in a vehicle and predicts a collision between a moving object and the vehicle. The collision predict apparatus includes a vehicle path estimation section, a moving object path estimation section, an obstruction specifying section, a direction change information acquisition section, a moving object extraction area setting section, and a collision predict section. The moving object extraction area setting section sets, as a moving object extraction area, an area that is in the vicinity of an obstruction and is near an outer periphery of the obstruction facing a path of the vehicle after change of a traveling direction indicated by direction change information.

Abstract: System, methods, and other embodiments described herein relate to improving alerts to a passenger about hazards when exiting a subject vehicle. In one embodiment, a method includes, in response to identifying a target in a surrounding environment of the subject vehicle, estimating a target path of the target. The method includes selectively adjusting an activation threshold for providing an alert according to a curvature of the target path. The method includes activating the alert to inform the passenger of a hazard associated with the target according to whether the target path satisfies the activation threshold.

Abstract: An object detection system for a vehicle includes a camera vision module and a Lidar module. The camera vision module includes an imaging device viewing to the exterior of the vehicle and operable to capture image data representative of a scene exterior and forward of the vehicle. The Lidar module includes a Lidar device that, with the Lidar module mounted at a front exterior portion of the vehicle, scans a region forward of the vehicle that overlaps with the field of view of the imaging device. Based at least in part on processing of captured image data by an image processor and based at least in part on processing of Lidar data captured by the Lidar device, 3-dimensional and timing information relative to the vehicle of objects present exterior of the vehicle is algorithmically constructed. At least one individual object of the multiple objects is prioritized.

Abstract: A construction machine for building or finishing a road, such as a road finisher, comprises at least a working equipment, a display unit and a plurality of sensors. Each sensor is adapted to measure a value of an operating parameter of the construction machine. The sensors are adapted to output data corresponding to the measured values to the display unit, and the display unit is adapted to output a representation of at least a part of the construction machine together with the measured values of the operating parameters.

Abstract: Examples disclosed herein relate to an autonomous driving system in an ego vehicle. The autonomous driving system includes an antenna system having an antenna controller configured to provide a radar transmission signal for transmission to a target. The antenna system also includes a beacon circuit coupled to the antenna controller and configured to generate a superimposed signal comprising the radar transmission signal and a beacon signal having information that identifies the ego vehicle to other vehicles that are in a range distance of the ego vehicle. The antenna system also includes a metamaterial antenna structure coupled to the beacon circuit and configured to transmit the superimposed signal to the other vehicles. Other examples disclosed herein include a radar system having a beacon system and a method of operating the antenna system in the autonomous driving system of the ego vehicle, for vehicle identification.

Abstract: Disclosed herein is a driver assistance system and a control method thereof. The driver assistance system includes a radar installed in a vehicle to detect other vehicle driving outside of the vehicle, and configured to acquire radar data comprising position information of the other vehicle, and a controller configured to calculate a risk of collision based on a relative distance of the other vehicle with respect to the vehicle. The controller generates a first region of interest partitioned along an expected driving path of the vehicle, generates a second region of interest during the vehicle moves along the expected driving path of the vehicle, when other vehicle is detected in the first region of interest, and calculates a relative distance of the other vehicle detected in the second region of interest.

Abstract: A trailer sideswipe avoidance system for a vehicle towing a trailer is provided herein. The trailer sideswipe avoidance system includes a sensor system configured to detect objects in an operating environment of the vehicle. A controller receiving inputs from the sensor system is configured to determine a travel path of the towed trailer as the vehicle turns, determine whether an object detected in the operating environment of the vehicle is in the travel path of the towed trailer, determine a time until sideswiping of the object with the towed trailer, compare the time until sideswiping with a threshold time value, and prompt one or more vehicle systems to execute a sideswipe avoidance measure when the time until sideswiping is less than the threshold time value.

Abstract: The disclosure includes embodiments for adjusting a blind spot monitor on a vehicle to improve safety of the vehicle. In some embodiments, a method for the vehicle includes detecting a change in a heading of the vehicle. The method includes modifying an operation of the blind spot monitor on the vehicle based on the change in the heading of the vehicle so that performance of the blind spot monitor is enhanced to improve safety of the vehicle in a scenario when the vehicle changes the heading.

Abstract: The present disclosure provides an apparatus for associating sensor data in a vehicle. The apparatus includes a plurality of sensors configured to sense an external object and a processor configured to be electrically connected with the plurality of sensors. The processor is configured to obtain a sensor data set for a target located around the vehicle using the plurality of sensors, select at least a portion of sensor data included in the sensor data set based on at least one of target information, a curvature of a road where the vehicle or the target is traveling, or a type of a sensor configured to sense the target, and generate track data for the target by associating at least the portion of the sensor data.

Abstract: A vehicle control device includes a braking unit 15 for braking a vehicle, an obstacle detection sensor for detecting an obstacle in front of the vehicle, a braking control unit for controlling a braking of the vehicle by the braking unit on the basis of a detection condition of the obstacle, an acquisition unit for acquiring position information indicating a position of the vehicle, and a storage control unit for storing, in a storage unit, braking history information that includes the position information acquired when the braking of the vehicle is performed by the braking unit under control of the braking control unit.

Abstract: A vehicle may include a communicator configured to receive driver state information from a surrounding vehicle, a detector configured to obtain driving information related to surrounding vehicle, a driving assistance module configured to control at least one of a driving speed or a driving direction and a controller configured to determine whether a driver of the surrounding vehicle is in drowsiness state based on whether the received driver state information satisfies a predetermined condition and if the driver of the surrounding vehicle is determined as drowsiness state, control the driving assistance module to avoid the surrounding vehicle.

Abstract: This technology relates to an information processing apparatus for accurately notifying a mobile object of a position of a moving body nearby, and to an information processing method, a program, and a mobile object for use with the information processing apparatus. The information processing apparatus includes a moving body detection section that detects the moving body near the mobile object on the basis of information input from sensors, and a sound output control section that shifts the position of a sound image of a notification sound giving notification of the position of the moving body in keeping with a detected position thereof in motion. This technology can be applied to apparatuses, systems, or vehicles that provide driver assistance for preventing collision or contact with the moving body, for example.

Abstract: In some examples, one or more processors may receive at least one image of a road, and may determine at least one candidate group of pixels in the image as potentially corresponding to debris on the road. The one or more processors may determine at least two height-based features for the candidate group of pixels. For instance, the at least two height-based features may include a maximum height associated with the candidate group of pixels relative to a surface of the road, and an average height associated the candidate group of pixels relative to the surface of the road. In addition, the one or more processors may determine at least one weighting factor based on comparing the at least two height-based features to respective thresholds, and may determine whether the group of pixels corresponds to debris based at least on the comparing.

Abstract: A vehicle control apparatus comprising: a detector configured to detect a division line of a road; a speed detector configured to detect a speed of a vehicle traveling on the road; and a controller that can execute lane departure suppression control to suppress the vehicle from departing from the division line, wherein the controller changes, in accordance with the speed detected by the speed detector, an execution timing of the lane departure suppression control with respect to the division line.

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: An automotive autonomous driving system comprising automotive on-board systems comprising a propulsion system, a braking system, a steering system, and a sensory system, an automotive user interface, and an automotive electronic control unit connected to, via an automotive on-board communications network, and configured to cooperate with, the automotive on-board systems and the automotive user interface to provide an automotive autonomous driving system. The automotive electronic control unit is further configured to store and populate a database of recurrent low speed manoeuvres and cause recurrent low speed manoeuvres stored in the database of recurrent low speed manoeuvres to be repeated in autonomous driving mode.

Abstract: A vehicular communication apparatus configured to receive movement data related to a movement of other movable bodies includes an acquiring unit, a memory, and a data managing unit. The acquiring unit is configured to acquire the movement data on the other movable bodies. The memory is configured to store and record therein the movement data acquired by the acquiring unit. The data managing unit is configured to manage the record of the movement data in the memory. The data managing unit is configured to acquire a speed of each movable body that is obtained from the movement data recorded in the memory, and invalidate or delete the movement data recorded in the memory on a movable-body by movable-body basis in accordance with the acquired speed of the each movable body.

Abstract: A bumper, which comprises a bumper crossmember having an outer shell and having at least one sensor holder arranged therein, and an outer cladding shell. The at least one sensor holder is implemented as an impressed pocket originating from the front-side termination of the outer shell and having an upper wall, a lower wall and a base connecting the two walls. On the side of the outer cladding shell pointing toward the bumper crossmember, in the region of a sensor holder, the outer cladding shell carries at least one sensor engaging in the sensor holder.

Abstract: A driving mode decision support for a decision to select a driving mode of driving on at least one road segment is provided to a user of an autonomous vehicle. A driver driving profile of a user is received. Segment information defining the at least one road segment is queried. The segment information includes at least a model driver driving profile associated with the at least one road segment. A driving mode decision support for the user is determined for the at least one road segment based on the driver driving profile of the user and the model driver driving profile. An indication of the driving mode decision support is provided to the user. The driving mode decision support includes a recommended driving mode of driving on the at least one road segment.

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: Embodiments described herein are directed to employing an aggregation of participant sensor coverage areas to determine if there are missing coverage areas or unwanted overlapping coverage areas. If there are missing coverage areas, then at least one participant is instructed to modify its sensor coverage area to at least partially cover the missing coverage area. Conversely, if at least one participant has a sensor that is providing unwanted overlap of other sensor coverage areas, then that participant may be instructed to stop using that sensor, utilize that sensor for other data transmission purposes, or modify the coverage area to be non- or less-overlapping.

Abstract: An information notification apparatus is mounted on a straddle type vehicle and is capable of performing information notification mutually with a vehicle existing on the periphery of the straddle type vehicle. The information notification apparatus comprises: a plurality of detection units, having detection areas of different characteristics, configured to detect relative information representing a relative relationship with the vehicle; and a detection control unit configured to control, based on vehicle speed information of the straddle type vehicle, switching of a detection unit used for the information notification in the plurality of detection units.

Abstract: Example methods and systems for calibrating sensors using road map data are provided. An autonomous vehicle may use various vehicle sensors to assist in navigation. Within examples, the autonomous vehicle may calibrate vehicle sensors through performing a comparison or analysis between information about the environment received by sensors with similar information provided by map data (e.g., a road map). The autonomous vehicle may compare object locations as provided by the sensors and as shown by map data. Based on the comparison, the autonomous vehicle may adjust various sensors to accurately reflect the information as provided by the road map. In some instances, the autonomous vehicle may adjust the position, height, orientation, direction-of-focus, scaling, or other parameters of a sensor based on the information provided by a road map.

Abstract: A method for dynamically calibrating a vehicular trailer angle detection system includes providing at least a rear camera at a rear portion of the vehicle. A trailer is hitched at the vehicle and the vehicle is driven forward while towing the trailer. The control determines an expected location of a portion of the trailer based on provided vehicle-trailer parameters as the vehicle is driven forward and towing the trailer. An actual location of the portion of the trailer is determined via processing at the control of captured image data as the equipped vehicle is driven forward and towing the trailer. The vehicular trailer angle detection system is calibrated responsive to determination, via processing at the control of captured image data as the equipped vehicle is driven forward and towing the trailer, that the determined actual location of the portion of the trailer is not at the determined expected location.

Abstract: Provided is a ranging apparatus capable of acquiring an image and high-accurately measuring a distance. The ranging apparatus includes a camera 10 which includes an optical system 53 and an image pickup device 12 having a plurality of pixels arranged therein, an image analysis section 13, and a distance information acquisition section 14, the optical system 53 includes an aperture 51 disposed between two lenses 11a and 11b, the aperture 51 includes two aperture holes 52 corresponding to two ranging pupils 31 and 32, and the pixels include two image pickup pixels 12b corresponding to two aperture holes 52.

Abstract: A vehicle control apparatus, a vehicle control method, and a program that can curb unnecessary driving control are provided.

Abstract: An image processing apparatus includes side cameras attached to a side portion of a vehicle and configured to provide an image obtained by capturing the rear of the side portion including a vehicle body region; a fisheye camera attached to a rear portion of the vehicle and configured to provide an image including the rear of the vehicle captured at a wide angle of view; a narrow-angle camera attached to the rear portion of the vehicle and configured to provide an image including the rear of the vehicle captured at a narrow angle of view; and a synthesizing unit configured to synthesize the image of the fisheye camera and the image of the narrow-angle camera corresponding to the vehicle body region of the image of the side camera in the vehicle body region.

Abstract: A sensing method and system includes equipping a vehicle with a first sensor at a forward portion of a side of the vehicle such that a principal axis of the first sensor's zone of sensing is rearward and sideward and at an acute angle relative to the body, and a second sensor at a rearward portion of the side of the vehicle such that a principal axis of the second sensor's zone of sensing is forward and sideward and at an acute angle relative to the body. Data sensed by the sensors when each sensor senses with zone of sensing and an adjusted zone of sensing are communicated to a control, which determines the presence of one or more objects exterior the vehicle and within the zone of sensing and the adjusted zone of sensing of the at least one of the sensors.

Abstract: A vehicle control device includes a plurality of imaging units that images an outside world of a vehicle, a surrounding screen image composition unit that combines a plurality of captured images captured by the plurality of imaging units to generate a surrounding screen image, a collision determination unit that determines whether an obstacle is present on a traveling route of the vehicle, an alarm screen image generation unit that selects, from a plurality of captured images, a captured image in which the obstacle is imaged to generate an alarm screen image including the selected captured image, and a display screen image switching unit that performs a process of displaying the surrounding screen image when the collision determination unit determines that the obstacle is not present, and displaying the alarm screen image when the collision determination unit determines that the obstacle is present.

Abstract: The invention is related to a method for managing a light pattern and an automotive lighting device (10). The method comprises the steps of projecting an original light pattern, providing a reach distance between a retroreflective object (4, 5) and the automotive lighting device, estimating a reach time before the automotive lighting device reaches the retroreflective object (4, 5) and using the reach time to decide whether to activate a light pattern management functionality. If the light pattern management functionality is activated, using an image provided by an image sensor (1) in real time to decide the location of a mask. If the light pattern management functionality is activated, calculating an optimum light pattern for the mask and modifying the original light pattern including the mask with the optimum light pattern.

Abstract: A system that performs a method is disclosed. Image data from a first camera mounted on a vehicle is received, the vehicle including a first element configured to open into a first space external to the vehicle, and the image data indicative of motion of a first object during a first time period, the first object located outside of the first space. Whether the motion of the first object during the first time period indicates that the first object will interfere with operation of the first element during a second time period, after the first time period, is determined. In accordance with a determination that the motion of the first object indicates that the first object will interfere with the operation of the first element during the second time period, an action that avoids the interference is performed.

Abstract: Among other things, equipment is located at an intersection of a transportation network. The equipment includes an input to receive data from a sensor oriented to monitor ground transportation entities at or near the intersection. A wireless communication device sends to a device of one of the ground transportation entities, a warning about a dangerous situation at or near the intersection, there is a processor and a storage for instructions executable by the processor to perform actions including the following. A machine learning model is stored that can predict behavior of ground transportation entities at or near the intersection at a current time. The machine learning model is based on training data about previous motion and related behavior of ground transportation entities at or near the intersection.

Abstract: A sensing device detects an object in a blind spot in a surrounding environment of a mobile body. The sensing device includes a distance measurer, a detector, a controller, and a state receiver. The distance measurer acquires distance information indicating a distance from the mobile body to the surrounding environment. The detector detects the object in the blind spot. The controller controls operation of the detector. The state receiver acquires condition information indicating a state relating to slipperiness of the mobile body on a road surface on which the mobile body travels. The contoller detects the blind spot in the surrounding environment, based on the distance information acquired by the distance measurer. The controller controls precision at which the detector is caused to detect the object in the blind spot, according to the condition information acquired by the state receiver.

Abstract: Among other things, equipment is located at an intersection of a transportation network. The equipment includes an input to receive data from a sensor oriented to monitor ground transportation entities at or near the intersection. A wireless communication device sends to a device of one of the ground transportation entities, a warning about a dangerous situation at or near the intersection, there is a processor and a storage for instructions executable by the processor to perform actions including the following. A machine learning model is stored that can predict behavior of ground transportation entities at or near the intersection at a current time. The machine learning model is based on training data about previous motion and related behavior of ground transportation entities at or near the intersection.

Abstract: Provided are techniques for a personalized, social navigation coach. While a commuter is commuting on a commute path, periodically, current conditions for the commute path are determined. One or more risk factors of having an accident based on the current conditions and a commute model are identified, where the one or more risk factors are associated with one or more icons, and where the commute model uses sensor data comprising historic data at different points in time. A graphic range is generated with an indicator that indicates an amount of risk of having an accident along the graphic range. The one or more icons and the graphic range are displayed.

Abstract: A steering-system for an automated vehicle is provided. The system includes an object-detector and a controller. The object-detector indicates a height and/or a width of an object approached by a host-vehicle. The controller is configured to steer the host-vehicle and is in communication with the object-detector. The controller steers the host-vehicle to straddle the object when the height of the object is less than a ground-clearance of the host-vehicle, and/or the width of the object is less than a track-width of the host-vehicle.

Abstract: A method, apparatus, and computer program product are provided to determine whether a vehicle should be re-routed in response to an emergency. In the context of a method, the determination is made by receiving an indication relating to a level of criticality of the emergency. This method also includes determining a projected route for an emergency vehicle servicing the emergency. The method further includes comparing the projected route of the emergency vehicle with a projected route of the vehicle. The method still further includes determining whether the projected route of the vehicle should be altered. In response to determining that the projected route of the vehicle should be altered, the method includes causing a signal to alter the projected route of the vehicle to be provided. A corresponding apparatus and computer program product are also provided.

Abstract: A vehicular vision system includes an electronic control unit having at least four coaxial connectors. At least four coaxial cables are electrically connected at respective coaxial connectors of the electronic control unit and respective cameras of at least four cameras. Each of the coaxial cables carries DC power from the electronic control unit to the respective camera. Each of the coaxial cables carries respective control data from the electronic control unit to the respective camera. Each of the coaxial cables carries image data captured by an imager of the respective camera to the electronic control unit via low-voltage differential signaling. Image data carried to the electronic control unit is processed at the electronic control unit by a processor of the electronic control unit.

Abstract: A display control device is disposed in a vehicle in which a camera photographing a first captured image indicating an image on a rear right side of the vehicle and a display displaying the first captured image are mounted. The display control device includes an image acquiring unit acquiring the first captured image from the camera and a display control unit controlling the first captured image displayed on the display. The display control unit causes the display to display one of a narrow angle image indicating a part of the first captured image and a wide angle image indicating an image in a range wider than the narrow angle image in the first captured image and to display the first captured image such that a size of a first region in displaying the wide angle image is larger than a size of the first region displaying the narrow angle image.

Abstract: In a parking assistance method of a parking control device which executes parking control with respect to a free parking space surroundings a host vehicle, a first frame line of free parking space in a direction orthogonal to a vehicle width direction and a second frame line which forms a pair with the first frame line are detected, and a parking target is set on a straight line connecting between a point on the first frame line and a point on the second frame line, for example, the parking target is set on the straight line connecting between an end on the first frame line and an end on the second frame line, and parking control is executed so that a position of wheels of the host vehicle is matched with the parking target.

Abstract: A transmission/reception control device is configured to control transmission and reception in an ultrasonic sensor. The ultrasonic sensor includes an ultrasonic transducer. The ultrasonic transducer is configured to transmit a probe wave as an ultrasonic wave and receive a reception wave. The reception wave includes a reflected wave of the probe wave. The transmission/reception control device includes a transmission frequency setting unit, a reception signal processing unit, and an object detection unit. The transmission frequency setting unit sets a frequency of the probe wave to a transmission frequency different from a resonance frequency of the ultrasonic transducer. The reception signal processing unit processes a reception result of the reception wave based on the probe wave transmitted with the transmission frequency. The object detection unit detects the object based on a result of processing by the reception signal processing unit.

Abstract: A vehicle and a control method of the same are provided. The vehicle may include a braking, a camera configured to capture an image of a front side of the vehicle and obtain image data, a radar configured to obtain radar data including distance information with respect to another vehicle traveling in an opposite direction at an intersection and speed information of the other vehicle, and a controller configured to estimate a collision risk on a side of the other vehicle based on the image data and the radar data when the vehicle is turning at the intersection, and control the brake based on the collision risk on the side of the other vehicle.

Abstract: Self-driving and autonomous vehicles are very popular these days for scientific, technological, social, and economical reasons. In one aspect of this technology, path prediction and target classifications are main pillars and enablers for safety and mobility applications. Accurate Estimation of the lane assignment of the remote vehicle with respect to the host vehicle lane results in the accurate threat assessment. V2X and C-V2X are emerging technology for safety applications, and they cover relatively long range. Long range means more room for error in path prediction/target classification. Therefore, here, we offer an efficient path prediction and target classification algorithm to enable these technologies performing safety and mobility applications. The method fuses target vehicles data and host vehicle data in an efficient algorithm to perform this task. Other variations are also presented here.

Abstract: An information-processing device of the present invention includes an acquisition unit that acquires sensor detection information indicating a detection result from a sensor mounted in a vehicle, a derivation unit that derives a plurality of indices for a surrounding environment based on the sensor detection information acquired by the acquisition unit, and an evaluation unit that evaluates attribute information of a point at which the sensor detection information is acquired based on the plurality of indices derived by the derivation unit.