Abstract: A vehicle information processing apparatus detects the relative positions multiple vehicles that travel on a road having multiple lanes in the same direction. The apparatus includes a vehicle travel information acquisition unit configured to acquire at least one of position information and speed information measured for a first vehicle, and at least one of position information and speed information measured for a second vehicle included in the multiple vehicles, and a vehicle travel information processing unit configured to successively compare acquire first vehicle travel information with second vehicle travel information acquired, and determine that reciprocity which is attribute information indicating a state in which the first vehicle and the second vehicle travel in different lanes is established between the first vehicle and the second vehicle if it is determined that an event that cannot occur when the first vehicle and the second vehicle travel in the same lane occurs.

Abstract: A method for managing payment vehicle data based on location information is provided. The method includes receiving at least one payment vehicle attribute of at least one payment vehicle, receiving location information specifying a geographical location for use of the at least one payment vehicle, retrieving payment vehicle data from one or more databases based on the at least one payment vehicle attribute, filtering the payment vehicle data using the location information, to exclude data that is not applicable to the geographical location, and displaying the filtered payment vehicle data to the user.

Abstract: Identifying a vehicle in a toll system includes accessing image data for a first vehicle and obtaining license plate data from the accessed image data for the first vehicle. A set of records is accessed. Each record includes license plate data for a vehicle. The license plate data for the first vehicle is compared with the license plate data for vehicles in the set of records. Based on the results of the comparison of the license plate data, a set of vehicles is identified from the vehicles having records in the set of records. Vehicle fingerprint data is accessed for the first vehicle. The vehicle fingerprint data for the first vehicle is based on the image data for the first vehicle. Vehicle fingerprint data for a vehicle in the set of vehicles is accessed. Using a processing device, the vehicle fingerprint data for the first vehicle is compared with the vehicle fingerprint data for the vehicle in the set of vehicles.

Abstract: A system for traffic forecasting which calculates a traffic accident incidence within a specific distance from road surface information sensed through a sensor, weather information and traffic information, thereby informing a driver of traffic accident incidence according to the speed and providing the driver with an image corresponding thereto are described. The system includes a sensor part for sensing at least one of a predetermined first information, a communication part for receiving a second information from at least one of weather related organizations and road traffic related organizations, a memory part for saving a plurality of images which are connected with the traffic accident incidence, and a control part for calculating a traffic accident incidence within a specific distance from the system for traffic forecasting using the first and second information.

Abstract: A system includes a camera defining an optical axis and a field of view defined about the optical axis. An illuminator is mounted offset from the optical axis and directed to illuminate at least a portion of the field of view, wherein the illuminator is operatively connected to the camera to provide illumination during an image capturing exposure of the camera. An image processer is operatively connected to the camera and includes machine readable instructions configured to receive image data representative of an image captured with the camera, perform facial detection to detect at least one face in the image, perform license plate detection to detect at least one license plate in the image, and to provide a vehicle overview image.

Abstract: A method of determining geographic positions of a head of train (HOT) unit and an end of train (EOT) unit of a train includes receiving, by the HOT, first satellite radio position data and position correction data; determining, by the HOT, a first geographic location of the HOT based on the first satellite radio position data and the position correction data received by the HOT; receiving, by the EOT, second satellite radio position data; receiving, by the EOT from the HOT via a communication link, a copy of the position correction data received by the HOT; determining, by the EOT, a second geographic location of the EOT based on the second satellite radio position data and the position correction data received by the EOT; and receiving, by the HOT from the EOT, a copy of second geographic location of the EOT.

Abstract: Methods, systems, and devices for an external vehicle charging system. The external vehicle charging system includes a first set of inductive coils. The first set of inductive coils include a first inductive coil and a second inductive coil and are configured to provide an alternating magnetic field to one or more inductive loops of a vehicle. The external vehicle charging system includes a sensor configured to detect a position of the one or more inductive loops and a processor. The processor is configured to determine a first threshold distance between the first inductive coil and the second inductive coil to reduce or eliminate interference. The processor is configured to activate the first inductive coil and the second inductive coil so that the first inductive coil and the second inductive coil align with the one or more inductive loops based on the detected position and the first threshold distance.

Abstract: An online system builds a high definition (HD) map for a geographical region based on sensor data captured by a plurality of autonomous vehicles driving through a geographical region. The autonomous vehicles detect map discrepancies based on differences in the surroundings observed using sensor data compared to the high definition map and send messages describing these map discrepancies to the online system. The online system updates existing occupancy maps to improve the accuracy of the occupancy maps (OMaps), and to thereby improve passenger and pedestrian safety. While vehicles are in motion, they can continuously collect data about their surroundings. When new data is available from the various vehicles within a fleet, this can be updated in a local representation of the occupancy map and can be passed to the online HD map system (e.g., in the cloud) for updating the master occupancy map shared by all of the vehicles.

Abstract: A method and device for controlling a vehicle based on neighboring vehicles is disclosed. The method includes identifying a fiduciary object associated with each of at least one neighboring vehicle based on at least one image captured for the at least one neighboring vehicle. The method further includes tracking a position of the fiduciary object associated with each of the at least one neighboring vehicle based on a bounding box surrounding the fiduciary object. The method includes determining a direction-speed vector for the vehicle and determining trajectory data associated with each of the one or more neighboring vehicles. The method further includes correlating the position of the fiduciary object and the trajectory data associated with each of the at least one neighboring vehicle. The method includes re-computing the direction-speed vector of the vehicle based on a result of correlating and controlling the vehicle thereafter.

Abstract: A method for estimating a moving speed of a vehicle includes: sequentially capturing, by an image capturing unit, a first driving vehicle image and a second driving vehicle image having a time difference; performing image analysis on the first driving vehicle image to obtain a first pixel area and a first inclination of a first license plate image; performing image analysis on the second driving vehicle image to obtain a second pixel area and a second inclination of a second license plate image; and estimating the moving speed according to the first pixel area, the first inclination, the second pixel area, the second inclination and the time difference.

Abstract: A communication control device is provided with: an erroneous communication prevention antenna capable of receiving electromagnetic waves transmitted from an electromagnetic wave leakage monitoring region, which is defined in a region different from a dedicated short-range communication region where valid communication with a dedicated short-range communication antenna is carried out; a signal alteration unit which is provided on a communication interconnection between the dedicated short-range communication antenna and an antenna controller, and which alters a signal received from the dedicated short-range communication antenna; and a signal alteration unit control unit which, when the erroneous communication prevention antenna has received electromagnetic waves, causes the signal transmitted from the dedicated short-range communication antenna to the antenna controller to be altered.

Abstract: The sensors on a vehicle can have difficulties identifying surrounding objects in the environment. Markers with predetermined properties that match with reading capabilities of the on-vehicle sensors would provide information about the surrounding environment. In particular, adjacent vehicles may have markers with predetermined properties that match with reading capabilities of the vehicle sensors. The sensors would obtain information about the surrounding vehicles on the road, which could be used to provide context for decision making of the advanced driver assistance system.

Abstract: A system and method for monitoring vehicle traffic and collecting data indicative of pedestrian right of way violations by vehicles is provided. The system comprises memory and logic for monitoring traffic intersections and recording evidence indicating that vehicles have violated pedestrian right of way. Two sensor modalities collecting video data and radar data of the intersection under observation are employed in one embodiment of the system. The violation evidence can be accessed remotely by a traffic official for issuing of traffic citations.

Abstract: Systems and method are disclosed for adaptive and/or autonomous traffic control. In one illustrative implementation, there is provided a method for processing traffic information. Moreover, the method may include receiving data regarding travel of vehicles associated with an intersection, using neural network technology to recognize types and/or states of traffic, and using the neural network technology to process/determine/memorize optimal traffic flow decisions as a function of experience information. Exemplary implementations may also include using the neural network technology to achieve efficient traffic flow via recognition of the optimal traffic flow decisions.

Abstract: Radio frequency device, system comprising radio frequency device, and corresponding methods. Radio Frequency devices are provided where a radio frequency circuit may be selectively coupled to a radar circuit or a communication circuit.

Abstract: A system is provided that allows a driver to customize one or more vehicle components such as lights. The system may allow the user to specify how each light behaves in response to certain conditions or triggers. The customizations may include displaying predetermined or customized shapes and colors, and may include customizing the timing and brightness of the lights. To ensure that the customizations comply with one or more laws, the system may determine the current location of the vehicle. The system may use the location of the vehicle to determine what rules, regulations, and laws apply to the vehicle. The system may then determine if the customizations comply with the determined rules, regulations, and laws. If the customizations comply, the system may allow the vehicle component to operate according to the customizations. If the customizations do not comply, the driver may be alerted and/or the customizations may be adjusted to comply.

Abstract: A computer implemented information processing method includes acquiring a first photographed image that represents an inside portion of a vehicle, identifying a driver who drives the vehicle from the first photographed image, acquiring driver information that indicates at least one of an attribute of the identified driver and a driving history of the identified driver. Then the method determines whether or not the identified driver satisfies a condition of experienced driver using the driver information. Finally the method decides a threshold value that is used for detection of occurrence of an event to be a trigger of photographing or recording of a second photographed image which represents an outside portion of the vehicle based on a result of the determination.

Abstract: A sensing system for a vehicle includes at least one radar sensor disposed at the vehicle and having a field of sensing exterior of the vehicle. The at least one radar sensor includes an antenna array having multiple transmitting antennas and multiple receiving antennas. Sensed radar data provides a data set of radar reflection responses for an object in the field of sensing of the at least one radar sensor, and the data set of radar reflection responses is compared to stored data sets representative of particular vehicle types. Responsive to the data set of radar reflection responses being determined to correspond to a stored data set, the sensing system classifies the detected object as that particular vehicle type.

Abstract: A system and method for updating map data for updating map data for an autonomous vehicle (AV) is provided. The method includes collecting, using one or a plurality of AV sensors of a first AV, sensor data, and comparing the sensor data collected against map data for determining a presence of potential changed data. The method further includes generating a proof of work (PoW) block including the potential changed data, and collecting, using one or a plurality of AV sensors of a second AV, first verification sensor data. The potential changed data is then compared with the first verification sensor data for generating a first verified map block based on the first verification sensor data, and adding the first verified map block to a first verified map blockchain.

Abstract: A method for identifying a trajectory for each vehicle involved in an accident. The method begins by plotting on a Cartesian Coordinate Plane GNSS locations corresponding to a vehicle involved in the accident. Next, the method identifies GNSS locations on the Cartesian Coordinate Plane where the vehicle was speeding. Next, the method marks those GNSS locations on the Cartesian Coordinate Plane where the vehicle involved in the accident was skidding. The process of plotting and identifying speeding as well as skidding is repeated for all vehicles involved in the accident. The Cartesian Coordinate plane then having all vehicle trajectories residing therein is sent to an output device.

Abstract: A method for three-dimensional imaging includes emitting an output light with a structured light illuminator in a structured light pattern, receiving a trigger command, changing a field of illumination of the illuminator, and changing a field of view of an imaging sensor. The field of view and the field of illumination are linked, such that the field of view of the imaging sensor is the same as the field of illumination of the illuminator at a short throw field of view and a long throw field of view. The method further includes detecting a reflected light with the imaging sensor and measuring a depth value by calculating a distortion of the structured light pattern.

Abstract: A system to monitor vehicle accidents using a network of aerial based monitoring systems, terrestrial based monitoring systems and in-vehicle monitoring systems is described. Aerial vehicles used for this surveillance include manned and unmanned aircraft, satellites and lighter than air craft. Aerial vehicles can also be deployed from vehicles. The deployment is triggered by sensors registering a pattern in the data that is indicative of an accident that has happened or an accident about to happen.

Abstract: A method for security and/or automation systems is described. In one embodiment, the method may include receiving image data associated with an area via an image sensor, receiving sound data associated with an object via an audio sensor, analyzing the image data in relation to the sound data, detecting an object's presence based at least in part on the analyzing, and identifying at least one characteristic relating to the object based at least in part on the detecting.

Abstract: An image information collecting system comprises: a position transmitting device for transmitting first position information indicating a position of the image information collecting system itself; a plurality of cameras for collecting image data, storing the image data in a storage medium of the image information collecting system itself, generating data identification including oriented direction information of a camera and time information at a time point at which the image data has been collected, and transmitting the data identification information through a network; and a service server for receiving the first position information and the data identification information, and determining whether a target camera for photographing a current position of the position transmitting device exists among the plurality of cameras, using the data identification information and second position information indicating positions of the plurality of cameras.

Abstract: A method of calibrating a vehicular camera includes disposing a camera at a vehicle, moving the vehicle along an arbitrary path, capturing image data with the camera, and processing, via a processor, image data captured by the camera. Responsive to tracking a determined feature across multiple frames of captured image data during movement of the vehicle along the arbitrary path, and responsive to received vehicle data representative of the movement of the vehicle along the arbitrary path, misalignment of the camera is determined. The determined camera misalignment is corrected (i) without use of a target in the field of view of the camera as the vehicle moves along the arbitrary path and (ii) without processing of image data captured by the camera that is representative of a target in the field of view of the camera as the vehicle moves along the arbitrary path.

Abstract: A system and method for traffic violation detection using a mobile vehicle-mounted unit (20) with multiple imaging cameras (32-37), for recording and processing as evidence. The mobile unit (20) includes a monitoring device (60) that stores videos locally on a hard drive (62), and an input device (65) by which the operator flags potential infractions observed visually and compile a potential infraction log including links to relevant video frames, date and time, and geolocation. At the end of the operator's shift, the infraction log and videos are uploaded to a data vault (80) for video screening of the potential infractions by a desk operator who compiles a listing of apparent infractions inclusive of time/date, location, violation type, vehicle plates, and a URL link to the data vault (80). This listing is transmitted to police (52) running a web application (55) who can double-check and verify suspected infractions and directly compose a traffic citation.

Abstract: A monitor target shooting information generation unit extracts, from each of a plurality of images, as information to be used for estimating the identify of a monitor target, monitor target identification information that is identification information of the monitor target, and the monitor target shooting information generation unit then generates multiple pieces of monitor target shooting information each including both the extracted monitor target identification information and a shooting time at which the monitor target was shot. An appearance history generation unit generates, from the generated multiple pieces of monitor target shooting information, an appearance history of the monitor target that has been estimated to be identical. A determination unit determines the monitor target the appearance history of which matches a specified rule.

Abstract: A computer system for calculating traffic speed using sparse data. Sensors provide location data, over time, for a sampling of vehicles on the road network, such as a fleet of vehicles. This location data from a sampling of vehicles is sparse with respect to both road segments in the road network and time. From the location data, the computer system generates sample data associating speed of sampled vehicles on the road segments to points of time in a plurality of time slots. The computer system accesses other information that defines correlations among different road segments and among different time slots. The computer system derives at least an average vehicle speed for each road segment in the road network for at least the current time slot using the correlation data and the sparse sample data. The computer system can inter traffic volume from average vehicle speeds, and then compute environmental data.

Abstract: Tracking an object using an unmanned aerial vehicle is disclosed. A plurality of images showing the object is received from a camera of the unmanned aerial vehicle. A first static characteristic, a second static characteristic, a first dynamic characteristic, and a second dynamic characteristic of the object are determined. The second static characteristic is compared to the first static characteristic, and the second dynamic characteristic is compared to the first dynamic characteristic. It is determined that the second static characteristic is approximately equal to the first static characteristic, and that the second dynamic characteristic is approximately equal to the first dynamic characteristic. Finally, it is determined that the object is moving.

Abstract: An arrangement for determining at least one feature of a vehicle moving along a traffic lane, having a light sensitive sensor for recording an image of the vehicle and having an evaluation device for determining the at least one feature on the image, as well as a method for determining at least one feature of a vehicle moving along a traffic lane, especially by means of such an arrangement, wherein an image of the vehicle is recorded with a line scan camera and the image is evaluated for determining at least one feature of the vehicle.

Abstract: A vehicle-to-vehicle communication apparatus includes a host vehicle information storage unit, a receiver, a provisional information generator, and an output controller. Based on vehicle information received by the receiver, the provisional information generator regards narrow vehicles determined as satisfying predetermined conditions as a single provisional vehicle. One condition is that client vehicles and a host vehicle running on the lane of the same running direction include more than one narrow vehicle. Another condition is that no wide vehicle is in a region formed by line segments connecting the narrow vehicles with one another. The provisional information generator generates provisional information of the provisional vehicle from sets of vehicle information of the narrow vehicles which are regarded as the provisional vehicle. The output controller outputs the provisional information.

Abstract: A method for providing notifications related to service information of a machine located at a worksite is provided includes detecting, by a worksite management system, an entry of the machine in a first predefined service zone based on machine location data and machine identification data. The first predefined service zone is defined in the worksite management system corresponding to a first service area at the worksite. The method also includes generating, by the worksite management system, a first notification based on at least one predefined parameter and the machine identification data upon the entry of the machine in the first predefined service zone. The first notification includes information related to a service to be performed at the first service area. The method further includes detecting, by the worksite management system, an exit of the machine from the first predefined service zone based on the machine location data.

Abstract: A control system includes a sensor or other input device and one or more processors configured to receive event data associated with a vehicle from the sensor. The one or more processors also are configured to receive a designated chargeable usage of the vehicle and to determine one or more rules dictating rule-based chargeable usage of the vehicle based on the event data. The one or more processors compare the event data with the one or more rules to determine the rule-based chargeable usage of the vehicle and compare the rule-based chargeable usage with the designated chargeable usage to identify one or more discrepancies between the rule-based chargeable usage and the designated chargeable usage. The one or more rules dynamically change with changing conditions of the vehicle. The one or more processors are configured to generate control signals based on the rule-based chargeable usage and/or the identified discrepancies.

Abstract: A vehicle lamp includes a plurality of types of light output units having different illumination functions, a light emission drive unit configured to cause the plurality of types of light output units to output lights, and a monitoring sensor. The vehicle lamp is arranged at an upper part of a vehicle.

Abstract: A device for three-dimensional imaging includes a structured light illuminator and an imaging sensor. The structured light illuminator has one or more movable illuminator lenses positioned proximate an output of the illuminator that are configured to vary a field of illumination of the illuminator. The imaging sensor has one or more movable imaging lenses positioned proximate an input of the imaging sensor that are configured to vary a field of view of the imaging sensor.

Abstract: Systems and associated methods are disclosed for automatically configuring cameras to be associated with a known physical location in response to exposing the camera to a fiducial marker. In certain embodiments, boundaries for a zone of interest within images from the camera can be defined using the fiducial markers physically placed within the physical space.

Abstract: A location anomaly for a mobile device can be detected using non-location information from the mobile device. The non-location information does not include data from a location based device, such as a GPS. A probabilistic model is created using historical non-location information accumulated from the mobile device. Current non-location data is compared with the probabilistic model to determine a probability associated with the current non-location information. If the probability is less than a predetermined or configurable threshold, a location anomaly is detected. A notification of the location anomaly may be displayed and/or transmitted in response to detecting the location anomaly.

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: An online system builds a high definition (HD) map for a geographical region based on sensor data captured by a plurality of autonomous vehicles driving through a geographical region. The autonomous vehicles detect map discrepancies based on differences in the surroundings observed using sensor data compared to the high definition map and send messages describing these map discrepancies to the online system. The online system ranks the autonomous vehicles based on factors including an upload rate indicating how often the vehicle was used providing data to the online system. The sensor data from vehicles is uploaded to the online system (e.g., in the cloud) to create the HD map while spreading the burden of uploading this data as evenly as possible across a fleet of vehicles. Data uploads are expensive and time consuming, so the system makes this negligible for each vehicle by balancing/managing the uploads carefully across the fleet.

Abstract: Embodiments are disclosed for responding to an incoming alert using vehicle resources to scan and report on an environment of a vehicle. An example an in-vehicle computing system of a vehicle includes a sensor subsystem in communication with a sensor, a communication interface, a processor, and memory storing instructions executable by the processor to receive, via the communication interface, an alert including one or more alert parameters, instruct the sensor to scan an assigned region around the vehicle, receive, from the sensor, locally scanned data corresponding to the assigned region, determine that the scanned data includes an object having features matching a selected alert parameter of the one or more alert parameters, and transmit, to an alert service, a notification identifying the object and the features matching the selected alert parameter, the notification including a location of the object.

Abstract: A travel control method includes a detector that detects information on lane boundary lines of a lane around a subject vehicle as real boundary line information from an actual environment around the subject vehicle. The travel control method also includes integrating the real boundary line information and map boundary line information to generate integrated boundary line information. The map boundary line information is information on the lane boundary lines of the lane included in map information. The travel control method further includes outputting the generated integrated boundary line information.

Abstract: A train wireless system includes a train detecting apparatus on the ground and a controller on a train. The detecting apparatus includes a detector and a calculator. The detector detects that the train is on rails in a block. The calculator measures an on-rail time during which the detector detects the train in the block, and calculates an on-rail detecting time during which the train has been on the rails in the block. The controller includes a distance measurer, a time measurer, a recorder, and a train-length calculator. The distance measurer measures a travelling distance of the train from a beginning of the block, the time measurer measures an elapsed time since the distance measurer starts the measurement, the recorder records the elapsed time and the travelling distance, and the train-length calculator searches the recorder based on the detecting time, and calculates the train length using a selected travelling distance.

Abstract: A speed limit violation control system of the present disclosure includes: imaging units (320, 330) which image a running vehicle; recorder (420) that records one of videos imaged by the imaging units (320, 330); and controller (360) that calculates a speed of the vehicle based on the videos of imaging units (320, 330) and determines a starting point and an ending point of the one of the videos, which is to be recorded in recorder (420), based on the calculated speed.

Abstract: An information processing apparatus capable of assisting safe driving of a vehicle at a place such as an intersection where the view from the vehicle is obstructed or restricted is provided. A detection processing unit detects a traffic mirror in an image and an object in the traffic mirror on the basis of image information representing an image captured by an image capturing apparatus mounted in a vehicle. And a calculating unit calculates a difference between a size of the detected traffic mirror and a reference size and calculates a size of the object by using the calculated difference. Driving assist information for the vehicle is generated on the basis of the calculated size of the object, and the generated driving assist information is output.

Abstract: A camera controller for selectively controlling illumination around a vehicle comprises an image capture portion having a viewing area; an output for transmitting lighting control messages; and control logic. The control logic determines that a change in illumination is necessary in the viewing area and transmits a lighting control message at the output in response to the determination that illumination change is necessary. The lighting control message directs at least one lighting source associated with the vehicle in the viewing area of the camera controller to be adjusted.

Abstract: A car wash with integrated diagnostic functions is provided that includes the ability to wash and dry a connected vehicle and perform various diagnostic functions. The various diagnostic functions such as tread depth measurement, measuring tire pressures, performing safety inspection, emissions testing and performing vehicle diagnostics and the like may be performed while the connected vehicle is at the car wash. The results of the diagnostic tests may be provided to the driver at the end of the car wash via the driver's wireless computing device.

Abstract: An image processing apparatus including a wide-angle camera, an auxiliary camera, and a controller is provided. The wide-angle camera has a first Field Of View (FOV), and captures a first image of a first area of a scene. The auxiliary camera has a second FOV which is narrower than the first FOV, and captures a second image of a second area of the scene. In particular, the wide-angle camera and the auxiliary camera are disposed on the same surface of the image processing apparatus, and synchronized to capture the first image and the second image, respectively. The controller determines a portion of the first image, which corresponds to the second area of the scene, and superimposes the second image on the portion of the first image to generate an enhanced image.

Abstract: There is provided a kit comprising a base member adapted to be releasably attached to an upper region of a vehicle; a pole member comprising a first end that is adapted to be releasably coupled to the base member; an identification tag adapted to be mounted on the pole member and at a predetermined distance from the first end; and a light adapted to be positioned on the pole member. Such a kit is quite useful for tracking vehicles such as vehicles left outdoors that can be covered with ice and snow.

Abstract: A method of neural network operations by using a grid generator is provided for converting modes according to classes of areas to satisfy level 4 of autonomous vehicles. The method includes steps of: (a) a computing device instructing a pair detector to acquire information on locations and classes of pairs for testing by detecting the pairs for testing; (b) the computing device instructing the grid generator to generate section information by referring to the information on the locations of the pairs for testing; (c) the computing device instructing a neural network to determine parameters for testing by referring to parameters for training which have been learned by using information on pairs for training; and (d) the computing device instructing the neural network to apply the neural network operations to a test image by using each of the parameters for testing to thereby generate one or more neural network outputs.

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.