Abstract: A system and method for managing a tractor-trailer and a method are provided. The system includes: a control server to manage a position of a trailer, identification information on the trailer, and identification information on a tractor matched to the trailer with respect to each hub; a trailer to authenticate the tractor by comparing the identification information, which is received from the control server, on the tractor, with identification information received from the tractor, and to release an electronic parking brake (EPB) when an authentication result for the tractor is correct; and a tractor to authenticate the trailer by comparing the identification information, which is received from the control server, on the trailer with identification information received from the trailer to authenticate the trailer, and to be coupled to the trailer, when an authentication result for the trailer is correct.

Abstract: Described are systems and methods for predicting road collisions between a host vehicle and one or more objects in the surroundings of the vehicle. In aspects, range rate and heading information is acquired regarding a moving object in the surroundings of the vehicle; possible vehicle trajectories of the vehicle are calculated; possible object trajectories are calculated from the range rate of the object, the heading of the object, and a possible turn and acceleration of the object; and a collision calculation is performed.

Abstract: A vehicular camera calibration system includes a camera disposed at a vehicle, and an electronic control unit (ECU). The camera calibration system uses structure-from-motion during processing at the ECU of multiple frames of image data captured with the vehicle driven in a normal manner with turns involved. The camera calibration system uses a kinematic model of motion of the vehicle that is derived at least in part from vehicle data provided to the ECU. The camera calibration system, responsive to processing of multiple frames of captured image data, and based at least in part on (i) an intrinsic parameter of the camera and (ii) the kinematic model of motion of the vehicle, determines misalignment of the camera without use of a fiducial marker in a field of view of the camera and without use of reference points on the vehicle.

Abstract: A storage stores observation data (a set of pairs each consists of a parameter vector value representing a point in a D-dimensional space and an observation value of an objective function at the point). A processor determines a low-dimensional search space (R (2?R<D)-dimensional affine subspace passes through a point represented by a parameter vector value in the D-dimensional space), extracts data (a set of pairs corresponding to points at which similarity to a point included in the search space are more than a predetermined value. The points are among points in the D-dimensional space represented by parameter vector values included in the observation data), and proposes a parameter vector value representing a next point based on the extracted data.

Abstract: A method includes transmitting, by a user device associated with a user to a transportation service provider, a request for a service comprising entry into a controlled area associated with the service. The method further includes receiving, by the user device from the transportation service provider, a token to allow the user device to connect with the service and to allow entry into the controlled area associated with the service. The method further includes transmitting, by the user device to a security device associated with the transportation service provider, the token. The security device restricts access to the controlled area associated with the service. The method further includes receiving, by the user device from the security device responsive to the transmitting of the token, the access to the controlled area associated with the service.

Abstract: Disclosed are an apparatus and method for controlling a beam pattern. The apparatus includes an output device that outputs a beam pattern, and a controller that analyzes a driving tendency of a driver and adjusts the beam pattern based on the analyzed driving tendency of the driver.

Abstract: A sensor unit for detecting the approach of a train, the sensor unit having first and second non-rail-mounted sensors, wherein the non-rail-mounted sensors are different from one another. A first control unit, itself having first and second non-rail-mounted sensors, wherein the non-rail-mounted sensors are different from one another in that they work on different physical principles, wherein the first sensor unit and first control unit are arranged to cooperate with one another to detect the approach of a train.

Abstract: Methods and systems for vehicle-to-vehicle communication are disclosed. In some embodiments, the method includes: receiving, from a first vehicle via a network, a request for communicating with another vehicle; receiving, via the network, a first position signal from the first vehicle; determining a position of the first vehicle based on the first position signal; determining a target vehicle of the request, based on the request and the position of the first vehicle; transmitting, via the network, the request to the target vehicle; determining whether the target vehicle drives according to the request; and adding an amount of credit to an account associated with the target vehicle when it is determined that the target vehicle drives according to the request.

Abstract: Systems and methods for controlling an autonomous vehicle are provided. In one example embodiment, a computer-implemented method includes obtaining, from an autonomy system, data indicative of a planned trajectory of the autonomous vehicle through a surrounding environment. The method includes determining a region of interest in the surrounding environment based at least in part on the planned trajectory. The method includes controlling one or more first sensors to obtain data indicative of the region of interest. The method includes identifying one or more objects in the region of interest, based at least in part on the data obtained by the one or more first sensors. The method includes controlling the autonomous vehicle based at least in part on the one or more objects identified in the region of interest.

Abstract: The following relates generally to determining effectiveness of an update to a vehicle feature. In some embodiments, information indicating an update to a vehicle feature, and accident record information may be received. A first dataset from before the update was implemented in the vehicle, and a second dataset from after the update was implemented in the vehicle may then be constructed. An effectiveness score may then be calculated based upon the first and second datasets.

Abstract: An automobile includes a traffic information acquisition device that acquires traveling vehicle information, and traffic information from a traffic information management center that manages traffic obstacle information on an obstacle on a road, a display device that displays surroundings map information of a subject vehicle together with a mark showing a current position of the subject vehicle, and a control device. The control device reflects a decorative image based on surroundings traffic obstacle information in the surroundings map information and displays the decorative image on the display device, and associates, with the decorative image, an involved vehicle number image on an involved vehicle number, and displays the involved vehicle number image on the display device. The involved vehicle number is the number of vehicles in the traveling vehicle information involved in the traffic information related to the decorative image.

Abstract: A travel assistance method and a travel assistance device for a vehicle is capable of avoiding any risk that may arise. The method includes obtaining a risk potential of an object detected by the vehicle, associating the risk potential of the object with an encounter location at which the object is encountered, accumulating the risk potential at the encounter location, and using the accumulated risk potential to obtain a primary estimated risk potential of the object predicted to be encountered at the encounter location. The primary estimated risk potential is lower than the risk potential obtained when detecting the object. The method further includes obtaining a secondary estimated risk potential using a predicted travel movement of another vehicle that avoids a risk due to the primary estimated risk potential, and when traveling at the encounter location again, autonomously controlling travel of the vehicle using the secondary estimated risk potential.

Abstract: Embodiments relate to a system, computer program product, and method for determining shelter areas for two-wheeler vehicles, and, more specifically, for dynamically distinguishing the behavior of two-wheeler vehicles and non-two-wheeler vehicles as an indicator of shelter areas from inclement weather. The behavior of the vehicles is distinguished through a plurality of two-wheeler vehicles slowing down and congregating at a particular location as a shelter against inclement weather, while non-two-wheeler vehicles may slow down, however, not stop proximate this location.

Abstract: Smart tolling for vehicles is provided. A toll advertisement message (TAM) is received by a vehicle, broadcast from a road-side unit (RSU) via V2X communication, the TAM defining a plurality of toll road tariff data elements, each of the toll road tariff data elements specifying a set of tolling factors indexed by a unique toll context identifier. Roadway usage of the vehicle is determined. A charge for the roadway usage is determined according to the set of tolling factors of the TAM. A toll usage message (TUM) is sent via the V2X communication, the TUM indicating, to the RSU, the tariff for the roadway usage of the vehicle.

Abstract: The application discloses a method, system and related device of implementing vehicle automatically weighing, so as to achieve the automatically weighing of the unmanned vehicle. The method includes: controlling, by a vehicle controller, a vehicle to drive automatically and stop at a weighing position; weighing, by a weighbridge sensor, the vehicle when sensing the vehicle stopping at the weighing position, and sending weighing end information to the vehicle controller; and controlling, by the vehicle controller, the vehicle to start and leave the weighing position when receiving the weighing end information.

Abstract: A traffic data analysis method, an electronic device, a vehicle and a storage medium are provided, and relate to the technical field of artificial intelligence, in particular to the fields of large data processing, automatic driving and vehicle networking, and can be applied to AI navigation. The method includes: acquiring a plurality of initial traffic data; determining a category of each of the plurality of initial traffic data; receiving a search instruction from an AI analysis model, wherein the search instruction includes target category information; determining target traffic data corresponding to the target category information from the respective initial traffic data according to categories of the respective initial traffic data; and sending the target traffic data to the AI analysis model so that the AI analysis model performs an AI analysis according to the target traffic data.

Abstract: A vehicular camera calibration system includes a camera disposed at a vehicle, and an electronic control unit (ECU). The camera calibration system utilizes an intrinsic parameter of the camera and uses a kinematic model of motion of the vehicle that is determined at least in part via processing of multiple frames of captured image data. The camera calibration system, responsive to processing of multiple frames of image data captured by the camera as the vehicle moves along a path of travel, and based at least in part on (i) an intrinsic parameter of the camera and (ii) the kinematic model of motion of the vehicle, determines misalignment of the camera. The camera calibration system determines camera misalignment without use of a fiducial marker in the field of view of the camera as the vehicle moves along the path of travel and without use of reference points on the vehicle.

Abstract: A method for fusing state data via a control unit. State data of a first mobile unit and of an object ascertained via a sensor system of the first mobile unit are received. State data of an object ascertained via a sensor system of a second mobile unit and/or state data of the second mobile unit, transmitted via a communication link from the second mobile unit to the first mobile unit, are received. A node is created in a time-position diagram for each set of received state data of the first mobile unit, the second mobile unit, and the objects. A data optimization of the state data ascertained by the first mobile unit and/or by the second mobile unit is carried out. An optimization problem is created based on the optimized state data ascertained by the first mobile unit and the optimized state data received from the second mobile unit.

Abstract: A system is provided and generally includes a server and an associate computing device. The server may receive location video data comprising at least one image from a camera directed to a location, such as a designated area of a parking lot. The server may detect one or more objects in the image, and determine a bounding box based on the detected objects. The server may also determine a confidence value corresponding to the bounding box. The confidence value may be determined based on an area of the image defined by the bounding box and a predefined class. The server may then generate an arrival message based on the determined confidence value, and transmit the arrival message to the associate computing device.

Abstract: An advance in the art is made according to aspects of the present disclosure directed to distributed fiber optic sensing systems (DFOS), methods, and structures that advantageously monitor and identify—in real-time—roadway traffic and patterns across a multiple-lane highway by employing a multiple-transverse fiber optic cable arrangement of optical fiber cable positioned under the highway/roadway to detect, monitor, and/or identify traffic.

Abstract: A method for providing a service linked to the condition and/or behavior of a vehicle and/or of a tire comprises the following steps: when a vehicle passes a road infrastructure equipped with a system for assessing the condition of a vehicle, determining an identifier of the vehicle and/or of a tire of the vehicle, at the same time, determining at least one parameter representative of the condition of the vehicle and/or of a component of the vehicle, transmitting the determined data to a remote data server, from the identification data, retrieving external data concerning the vehicle and/or the tire and/or the running conditions, combining the determined information with the external data such as to determine a relevant indicator concerning the condition and/or the behavior of a vehicle, and transmitting the relevant indicator to a provider of a service linked to the condition and/or to the behavior of a vehicle and/or of a tire.

Abstract: In various examples, a path perception ensemble is used to produce a more accurate and reliable understanding of a driving surface and/or a path there through. For example, an analysis of a plurality of path perception inputs provides testability and reliability for accurate and redundant lane mapping and/or path planning in real-time or near real-time. By incorporating a plurality of separate path perception computations, a means of metricizing path perception correctness, quality, and reliability is provided by analyzing whether and how much the individual path perception signals agree or disagree. By implementing this approach—where individual path perception inputs fail in almost independent ways—a system failure is less statistically likely. In addition, with diversity and redundancy in path perception, comfortable lane keeping on high curvature roads, under severe road conditions, and/or at complex intersections, as well as autonomous negotiation of turns at intersections, may be enabled.

Abstract: In order to reduce a driving frequency of a wiper configured to wipe a surface of an optical member on a front surface of a photographing lens, an imaging device includes: a lens; an optical member provided on a front surface side of the lens; a wiper configured to wipe a surface of the optical member, and at least one processor or circuit which functions as a detection unit configured to detect at least one of a focal length of the lens, an aperture value, and a subject size; and a control unit configured to drive the wiper so that a driving frequency of the wiper is reduced as the focal length becomes longer, the aperture value becomes smaller, or the subject size becomes larger.

Abstract: The present disclosure relates to a vehicular electronic device including a power supply configured to supply power, an interface configured to receive HD map data on a specific area from a server through a communication device and receive data on driving condition information of a vehicle, and a processor configured to continuously generate electronic horizon data on a specific area based on the high-definition (HD) map data in the state of receiving the power and to set a geographical range of the electronic horizon data based on data on the driving condition information.

Abstract: A system for monitoring movement of vehicles in an arena. Imaging devices are positioned to capture images of vehicles present in the arena. Each path in which a vehicle can travel in the arena has an associated sequence of imaging devices I1, . . . Im-1, Im, . . . In, such that a vehicle traveling along the path appears sequentially in the field of view of imaging devices I1, . . . Im-1, Im, . . . In. For at least one path among the paths in the arena, there is no overlap in the fields of view of at least one pair of two consecutive imaging devices in the sequence of imaging devices associated with the path. A processor executes image analysis software and recursively identifies a vehicle in images obtained by the imaging devices in the sequence.

Abstract: Disclosed herein are methods and systems that allow users to report traffic violations and obtain information concerning reported violations using mobile devices. In one embodiment, a method comprises receiving, at a server, one or more images or videos captured by a mobile device of an offending vehicle committing a potential traffic violation and an extended metadata tag; storing the one or more images or videos and the extended metadata tag as unstructured content in a content lake; generating database tables on top of the content lake; receiving a request from another mobile device to view traffic violation content; querying the database tables and retrieving at least one of the one or more images or videos of the offending vehicle committing the potential traffic violation from the content lake; and generating a GUI to be displayed via the other mobile device showing the traffic violation content.

Abstract: A vehicle environment detection system (40) in an ego vehicle (1), including a sensor arrangement (4) and a main control unit (8) is arranged to detect and track at least one oncoming vehicle (9), and to determine whether the ego vehicle (1) has entered a curve (17). The main control unit (8) is arranged to determine a common curve (12) with a radius (R), along which common curve (12) the ego vehicle (1) is assumed to travel, determine a measured oncome direction (13, 13?) of the oncoming vehicle (9) on the common curve (16), corresponding to an outcome angle (?track), determine a difference angle (?) between the measured oncome direction (13, 13?) and an oncome direction (13) corresponding to if the oncoming vehicle (9) would be moving along the common curve (12), compare the difference angle (?) with a threshold angle (?max), and to determine that the oncoming vehicle (9) is crossing if the difference angle (?) exceeds the threshold angle (?max).

Abstract: A method, apparatus and computer program product are provided to identify the class of vehicle driving over a road surface based upon audio data collected as the vehicle drives thereover. With respect to predicting a class of a vehicle, audio data is obtained that is created by the vehicle while driving over the road surface. The audio data includes one or more audio frequency features and/or one or more audio amplitude features. The audio data including the one or more audio frequency features and/or the one or more audio amplitude features is provided to a machine learning model and the class of the vehicle that created the audio data is predicted utilizing the machine learning model. A method, apparatus and computer program product are also provided for training the machine learning model to predict the class of the vehicle driving over the road surface.

Abstract: A vehicle computer comprises a processor and a memory. The memory stores instructions executable by the processor to receive a location of a first stationary directional short-wave antenna, to determine a line from a vehicle location to the location of the first stationary antenna, to transmit a short-wave request message to the first stationary short-wave antenna based on the determined line, the message including vehicle data, and upon receiving a short-wave acknowledgment message from the first stationary short-wave antenna, to transmit a second short-wave message including vehicle data.

Abstract: A computer system receives a request to locate a vehicle within a facility. The computer system parses the request to identify one or more characteristics of the vehicle. The computer system identifies a sensor corresponding to the vehicle based on the one or more characteristics of the vehicle. The computer system identifies a most recent location of the vehicle based on the last registered position of the vehicle within the facility. The computer system transmits a signal to a parking spot sensor at the most recent location of the vehicle in the facility. The computer system receives the unique identification. The computer system determines that the unique identification of the vehicle sensor co-located with the parking spot sensor matches the sensor of the requested vehicle. The computer system reports to the user a current location of the vehicle within the facility based on a location of the parking spot sensor.

Abstract: A system for telematics integration includes a video system configured to receive an event email notification from a telematics system. The telematics system was provided an email address for the event email notification. The video system is further configured to scrape the event email notification for event information and to determine whether event information satisfies criteria to generate trigger criteria for an event of interest. Then video system is further configured to, in the event that the event information satisfies the criteria to generate the trigger criteria, retrieve associated video from a video repository of the video system based at least in part on the trigger criteria.

Abstract: A movable body monitoring apparatus is configured to receive movement data related to movements of a movable body. The apparatus includes an acquiring unit, a memory, a detector, and a non-support managing unit. The acquiring unit acquires movement data on a non-support movable body from a support movable body. The memory stores and records the acquired movement data. The detector detects passing of a movable body from the host vehicle. The non-support managing unit manages the movement data on the non-support movable body recorded in the memory. When it is determined that the non-support movable body the movement data on which has been recorded in the memory has passed by based on detection data by the detection of the detector, the non-support managing unit invalidates or deletes the movement data on the non-support movable body from the memory on a movable-body by movable-body basis.

Abstract: A toll collection system includes: a roadside antenna operable to carry out wireless communications with an onboard unit mounted on a vehicle; a wireless communication control device operable to carry out communication processing with the onboard unit; a toll collection processing unit operable to acquire, from the wireless communication control device, a result of the communication processing, and to carry out toll collection processing for the onboard unit based on the result of the communication processing; a vehicle detector operable to detect a vehicle entering a communication range of the roadside antenna; a soundness determination unit operable to determine, based on a detection result of the vehicles by the vehicle detector and a result of the toll collection processing carried out by the toll collection processing unit, whether an abnormality has occurred in at least any one of the roadside antenna, the wireless communication control device, and the toll collection processing unit.

Abstract: An electronic apparatus and method for traffic speed enforcement based on license plate detection is provided. The electronic apparatus controls an image-capture device on a first vehicle to capture a sequence of images of a second vehicle and detects a license plate of the second vehicle in the captured sequence of images. The electronic apparatus extracts a set of license plate images from a set of images in the sequence of images and determines a first change in a size of a first license plate image with respect to that of a second license plate image. The electronic apparatus further determines a speed of the first vehicle and a traffic speed violation by the second vehicle based on the determined first change and the determined speed of the first vehicle. The electronic apparatus further controls a media device to output a notification indicative of the determined traffic speed violation.

Abstract: Apparatuses, methods and computer programs for a first transportation vehicle and a second transportation vehicle. The method for the first transportation vehicle includes generating an environmental perception message based on a perception model of an environment of the first transportation vehicle, wherein the perception model includes detected objects; transmitting the environmental perception message to one or more transportation vehicles located in a vicinity of the first transportation vehicle; determining one or more second transportation vehicles among the detected objects; and transmitting one or more wireless messages to the one or more second transportation vehicles. The one or more second transportation vehicles are addressed as destination of the one or more wireless messages by referencing one or more objects of the detected objects corresponding to the one or more second transportation vehicles within the environmental perception message.

Abstract: A vehicle control system includes a virtual line setter configured to set virtual lines in front of a gate on the basis of the position of the gate, and a gate passing controller configured to perform vehicle control when a vehicle passes through the gate on the basis of the virtual lines set by the virtual line setter.

Abstract: Techniques are disclosed for objectively assessing the driving performance of rideshare drivers and/or vehicles. The techniques include collecting data from various sources to aggregate trip data for several drivers and passengers over several ridesharing trips. This data may include telematics data collected from several passengers and/or drivers during each of their respective ridesharing trips, which indicates various aspects associated with operation of the vehicle. Each driver may then be correlated to his own set of trip data, such that a driving assessment may be made for each individual driver. When a new user subsequently requests a ride via a ridesharing provider, this driver assessment may be made available to the user, thereby providing the user with an objective assessment of the driver prior to the start of the scheduled ride.

Abstract: The present disclosure describes a device which is able to detect and deter wildlife. The present solution provides for a modular system which can have various modules received in a module housing and those modules can be replaced without the need for the device to be serviced by the manufacturer or a certified repair technician.

Abstract: Provided is a same vehicle detection device, including: a first license plate information acquisition unit configured to store, in a first recording unit, first license plate information acquired from an onboard unit installed in a vehicle; a second license plate information acquisition unit configured to store, in a second recording unit, second license plate information of the vehicle read in, based on an image captured by shooting a predetermined region including the license plate of the vehicle; and a same vehicle determination unit configured to determine whether the first license plate information stored in the first recording device relates to the same vehicle as the second license plate information stored in the second recording device.

Abstract: A capturing camera has a lens block that includes a lens for focusing light from a subject including a face of a person riding in a vehicle and a license plate of the vehicle, an image sensor that performs a capturing process based on the light from the subject focused by the lens, and a processor that generates a face image of the person riding in the vehicle and a license plate image of the vehicle, corresponding to a same vehicle, based on a captured image of the subject generated by the capturing process. The processor has the image sensor perform the capturing process using a plurality of capturing conditions at a time of capturing based on the light from the subject.

Abstract: A method of displaying surveillance video streams is provided that includes receiving surveillance video streams generated by a plurality of video cameras, and displaying a selected subset of the surveillance video streams in a summary view on at least one display device, wherein, for each surveillance video stream in the summary view, only a relevant portion of each frame in the surveillance video stream is displayed, and wherein a relevant portion is a subset of a frame for at least some of the surveillance video streams in the summary view.

Abstract: A system for interdicting access to a secured venue by automatically detecting the presence of weapons or other threats on attendees as they enter the site is provided. Cameras or other detectors, coupled with machine learning techniques identify from video streams or other sensor signals whether attendees openly or covertly have weapons or other threats on or near their person. In addition, wellness checks such as temperature measurements are performed. The system may also incorporate an automatic ticket scanner.

Abstract: Methods, computer programs, and apparatuses for a command center and a transportation vehicle, a transportation vehicle and command center. The method for a command center to teleoperate a transportation vehicle includes receiving input data from the transportation vehicle, estimating a current uplink delay based on the input data from the transportation vehicle, determining an estimated downlink and uplink delay based on the input data and the estimated current uplink delay, and determining control information for the transportation vehicle which at least partly compensates the estimated downlink and uplink delay. The method also includes transmitting information related to the control information to the transportation vehicle.

Abstract: Aspects of the subject disclosure may include, for example, determining, by a system comprising a processor, a driver profile according to a driver identity for a driver of a vehicle, selecting a driver-specific enforcement scenario for the vehicle according to the driver profile and traffic enforcement information that is associated with a vehicle location, and presenting an in-vehicle alert to convey the driver-specific enforcement scenario to the driver. Other embodiments are disclosed.

Abstract: A capturing camera has a lens block that includes a lens for focusing light from a vehicle as a subject, an image sensor that captures an image based on light from the vehicle focused by the lens, a filter unit that rotatably supports a polarization filter which limits the light from the vehicle received by the image sensor, a sensor that detects a daytime mode or a night mode, a processor that disposes the polarization filter on a front side of the image sensor in the daytime mode, and disposes a band pass filter on the front side of the image sensor in the night mode, and an illuminator that irradiates the subject with IR light in the night mode. The filter unit switchably supports the polarization filter and the band pass filter that transmits the IR light.

Abstract: The present invention relates to a system and a method for correcting position information of a surrounding vehicle, which provide accurate position information of a surrounding vehicle by correcting the position information of the surrounding vehicle received through vehicle-to-vehicle communication, and identifies a license-plate number of a front vehicle through a sensor mounted in a vehicle, calculates a position of the front vehicle, and compare position information, which is included in information including the identified number of the front vehicle in information received from the surrounding vehicle, with the calculated position of the front vehicle to correct the position information of the surrounding vehicle.

Abstract: The present invention relates to a system and a method for correcting position information of a surrounding vehicle, which provide accurate position information of a surrounding vehicle by correcting the position information of the surrounding vehicle received through vehicle-to-vehicle communication, and identifies a license-plate number of a front vehicle through a sensor mounted in a vehicle, calculates a position of the front vehicle, and compare position information, which is included in information including the identified number of the front vehicle in information received from the surrounding vehicle, with the calculated position of the front vehicle to correct the position information of the surrounding vehicle.

Abstract: The present invention relates to a system and a method for correcting position information of a surrounding vehicle, which provide accurate position information of a surrounding vehicle by correcting the position information of the surrounding vehicle received through vehicle-to-vehicle communication, and identifies a license-plate number of a front vehicle through a sensor mounted in a vehicle, calculates a position of the front vehicle, and compare position information, which is included in information including the identified number of the front vehicle in information received from the surrounding vehicle, with the calculated position of the front vehicle to correct the position information of the surrounding vehicle.

Abstract: The present invention relates to a system and a method for correcting position information of a surrounding vehicle, which provide accurate position information of a surrounding vehicle by correcting the position information of the surrounding vehicle received through vehicle-to-vehicle communication, and identifies a license-plate number of a front vehicle through a sensor mounted in a vehicle, calculates a position of the front vehicle, and compare position information, which is included in information including the identified number of the front vehicle in information received from the surrounding vehicle, with the calculated position of the front vehicle to correct the position information of the surrounding vehicle.

Abstract: The present invention relates to a system and a method for correcting position information of a surrounding vehicle, which provide accurate position information of a surrounding vehicle by correcting the position information of the surrounding vehicle received through vehicle-to-vehicle communication, and identifies a license-plate number of a front vehicle through a sensor mounted in a vehicle, calculates a position of the front vehicle, and compare position information, which is included in information including the identified number of the front vehicle in information received from the surrounding vehicle, with the calculated position of the front vehicle to correct the position information of the surrounding vehicle.