Abstract:
Provided are an apparatus and method for transforming augmented reality information of a head-up display (HUD) for a vehicle. The apparatus for transforming augmented reality information of a head-up display for a vehicle includes a first projection transforming formula generation unit configured to extract a conjugate point by performing feature point matching on a first feature point of a forward recognition image of the vehicle input from a forward recognition camera and a second feature point of a first driver-based viewpoint image input from a driver-based viewpoint camera whose installation position is different from that of the forward recognition camera, and generate a first projection transforming formula; a second projection transforming formula generation unit configured to generate a second projection transforming formula using a straight-line intersection of a second driver-based viewpoint image, which is extracted from a second driver-based viewpoint image input from the driver-based viewpoint camera, and HUD coordinates pre-defined on the HUD; and an augmented reality information transformation unit configured to sequentially apply the generated first and second projection transforming formulas to recognition coordinates of a forward object, which is recognized from the first forward recognition image, to calculate primary and secondary transformation coordinates, and render the secondary transformation coordinates on the HUD.
Abstract:
A vehicle parking method in a smart parking system is provided. The vehicle parking method includes measuring, by parked vehicles, inter-vehicle distance values by using sensors embedded therein, receiving, by a parking target vehicle, the inter-vehicle distance values from the parked vehicles by using vehicle-to-vehicle (V2V) communication, selecting one distance value from among the inter-vehicle distance values, and determining the selected distance value as a parking space, transmitting, by the parking target vehicle, a movement request message to two parked vehicles configuring the parking space by using the V2V communication, moving, by the two parked vehicles, based on the movement request message and extending the parking space to an available parking space, and performing, by the parking target vehicle, an automatic parking process for parking in the available parking space.
Abstract:
A vehicle detecting apparatus obtains a magnetic signal from strength of a geomagnetic field generated due to a movement of a vehicle, and detects and classifies the moving vehicle on the basis of information regarding the latest magnetic signal change pattern indicating a change in the magnetic signal and information regarding a magnetic signal change pattern with respect to each vehicle stored in a database. The vehicle detecting apparatus receives detection and classification information regarding a vehicle which has actually moved, from an external information providing server, and gradually updates it through learning of a magnetic signal change pattern of the corresponding vehicle.
Abstract:
Provided are a method of recognizing an emotion of a driver and an apparatus using the same. The method includes receiving emotion recognition information including at least one of vehicle state information and driver emotion state information, determining whether a dominant emotion state exists among one or more emotion states possessed by the driver on the basis of the emotion recognition information and an emotion recognition model, and performing a reaction inducing interaction with respect to the driver determined on the basis of the determined dominant emotion state together with the driver when the dominant emotion state of the driver is determined to exist.
Abstract:
Provided are an apparatus and method for providing safe driving information. The method includes building a database including group information obtained by grouping driving environment information and driving situation information according to attributes of the driving environment information and the driving situation information, and provision forms and provision timings of safe driving information determined according to conditions in groups; collecting driving environment information, driving situation information, obstacle information, and information on a driver's line of sight in real time; determining a provision form and a provision timing of safe driving information based on the collected information and the database; and providing the safe driving information according to the determined provision form and timing
Abstract:
Disclosed is a method of assisting a lane change based on augmented reality. In the method, when it is necessary to change a lane while a driver drives a vehicle to a destination, lane change guidance information based on augmented reality can be expressed in the sight line of the driver. Therefore, it is possible to eliminate inconvenience and distraction in the case of checking driving direction of the lane, thereby improving safety and convenience of the driving.
Abstract:
Disclosed are a vehicle wireless sensor network system and an operating method thereof. The vehicle wireless sensor network system according to an embodiment of the present invention includes at least one vehicle wireless sensor node that is mounted in a vehicle and detects information about the vehicle in an arbitrary position of the vehicle, and a vehicle base station that collects information from the vehicle wireless sensor node and an electronic control unit (ECU) of the vehicle, generates an information collection command based on the information collected from the ECU of the vehicle to transmit the generated information collection command to the vehicle wireless sensor node to perform the generated information collection command, and selectively transmits sensor information collected from the vehicle wireless sensor node to the ECU of the vehicle.
Abstract:
A method and apparatus for providing a vehicle camera calibration includes choosing overlap images from among the image information captured by a camera mounted on a vehicle, and filtering images having the same vehicle attitude from among the chosen overlap images on a basis of a map coordinate system and status information of the vehicle, picking out objects in the filtered images, separating stationary objects from the picked out objects, and predicting an angular misalignment with respect to the separated stationary objects.