Abstract:
An apparatus for preventing a pedestrian collision accident, a system having the same, and a method thereof are provided. The apparatus includes a pedestrian sensing unit that senses a pedestrian moving into a dangerous area and calculates velocity and direction information of the pedestrian. A communication unit transmits the velocity and direction information of the pedestrian to a surrounding vehicle. A time-to-collision (TTC) calculating unit calculates a TTC using velocity and direction information of a subject vehicle and second velocity and direction information of the pedestrian, when the TTC calculating unit receives the second velocity and direction information of the pedestrian from another vehicle. A controller outputs based on the TTC a warning to a driver of the subject vehicle or the pedestrian.
Abstract:
A method and an apparatus for detecting a pedestrian by a vehicle during night driving are provided, in which the apparatus includes: a first camera configured to take a first image including color information of a vicinity of the vehicle during night driving; a second camera configured to take a second image including thermal distribution information of the vicinity of the vehicle; a pedestrian detector configured to detect a non-pedestrian area by using the color information from the first image and detect a pedestrian area by excluding the non-pedestrian area from the second image; and a display configured to match and display the pedestrian area on the second image.
Abstract:
A vehicle for supporting an object processing includes a lidar sensor configured to collect multi-layer data corresponding to sensor information for a lateral surface for each vertical interval. A controller is configured to classify objects by clustering each layer for the multi-layer data, extract contours and shapes of the objects, and then control a convergence of the objects based on a calculated value of a Mahalanobis distance between the clustered objects, and a method for an object processing.
Abstract:
A method of measuring a position of a vehicle using a cloud computing includes obtaining surrounding information according to a driving of the vehicle and driving information of the vehicle. The obtained surrounding information and the driving information of the vehicle are transmitted to a server which is remotely located from the vehicle and equipped with map data. A position of the vehicle is calculated through the surrounding information and the driving information of the vehicle by the server. The calculated position of the vehicle is transmitted to the vehicle. The calculated position of the vehicle is outputted.
Abstract:
An apparatus and a method are provided for recognizing driving environment for an autonomous vehicle. The apparatus includes a controller configured to receive navigation information from a satellite navigation receiver. The controller is further configured to receive map data from a map storage and image data from an image sensor regarding captured images from around a vehicle and distance information from a distance sensor regarding sensed objects positioned around the vehicle. The controller is also configured to determine a fusion method for information measured by the image sensor and the distance sensor based on a receiving state of the satellite navigation receiver and precision of the map data to recognize the driving environment.
Abstract:
A vehicle speed control apparatus is provided. In particular, a storage configured to store a table (hereinafter, referred to an area table) recording an area corresponding to a speed of a vehicle and a condition of a road; an imaging device configured to take a front image of the vehicle; an image processor configured to calculate an area of a shape made by a driving lane of the vehicle and a preceding vehicle in the driving lane from the front image of the vehicle taken by the imaging device; a road information collector configured to collect condition information of the road; and a controller configured to set a speed corresponding to the condition information collected by the road information collector and the area calculated by the image processor as a driving speed of the vehicle, based on the area table.
Abstract:
A method and an apparatus for detecting a pedestrian by a vehicle during night driving are provided, in which the apparatus includes: a first camera configured to take a first image including color information of a vicinity of the vehicle during night driving; a second camera configured to take a second image including thermal distribution information of the vicinity of the vehicle; a pedestrian detector configured to detect a non-pedestrian area by using the color information from the first image and detect a pedestrian area by excluding the non-pedestrian area from the second image; and a display configured to match and display the pedestrian area on the second image.
Abstract:
An apparatus for navigation control includes: a GPS configured to locate a current position of a vehicle and a speed bump ahead of the vehicle; a sensor configured to acquire detailed information of the speed bump and a current speed of the vehicle; a controller configured to locate the current position of the vehicle to divide a distance from the current position to the speed bump into one or more regions, to check the current speed of the vehicle, to calculate a recommended speed for passing over the speed bump based on the detailed information of the speed bump, and to generate a warning message if the current speed is above the recommended speed; and an outputter configured to output the warning message under control of the controller.
Abstract:
An apparatus and method for managing failure in an autonomous navigation system are provided. The method includes collecting, by a controller, failure information in the autonomous navigation system and a monitoring a driver condition. The controller is configured to collect the failure information in the autonomous navigation system, and determine whether to switch control from the autonomous navigation vehicle to a manual driving mode based on the driver condition.
Abstract:
An apparatus and a method for recognizing a driving lane are provided and include a processor that is configured to detect driving environment information acquired by a plurality of driving environment information collecting devices installed within a vehicle. In addition, the processor is configured to determine the driving lane in which the vehicle is currently traveling by combining at least two pieces of the detected driving environment information and output the recognized driving lane information as a result of the determination.