Abstract:
차선이탈을감지하는주행제어시스템이개시된다. 본시스템은요철을감지하는요철감지부, 차선을인지하는신뢰도가소정값을만족하지않는경우, 노면감지로직을구동하고, 요철감지부를통해적어도하나의타이어에요철이감지되면, 이에대응되는동작을수행하는주행제어부를포함할수 있다. 이에따라주행효율성이향상될수 있다.
Abstract:
차량은, 운전자의조향에따른조향정보를감지하는조향감지부; 차량전방의차선정보를감지하는차선감지부; 및상기조향정보또는차선정보에기초하여상기운전자의운전성향을판단하고, 상기판단된운전성향에기초하여상기운전자의조향의도를판단하는제어부; 를포함할수 있다. 이와같은차량및 그제어방법에의하면, 운전자의의도에의한차선변경상태인지부주의에의한차선이탈상태인지를구분함으로써불필요한경보를감소시키고, 차선이탈경보시스템에대한신뢰도를향상시킬수 있다. 또한, 운전자별로판단된운전성향을차선이탈경보시스템에적용함으로써, 차선이탈경보또는차선유지보조역할을더욱더효과적으로수행할수 있다.
Abstract:
The present invention relates to an apparatus and a method for calculating a driving concentration level. The purpose of the present invention is to provide an apparatus and a method for calculating a driving concentration level which calculates a driving concentration level (reaction time) of a driver based on acceleration of a vehicle and a velocity relative to a preceding vehicle. The apparatus for calculating the driving concentration level includes a network communication unit obtaining acceleration of a vehicle; a relative information measurement unit measuring a velocity relative to a preceding vehicle; a noise removal unit removing noise from the acceleration of the vehicle obtained by the network communication unit, and removing noise from the velocity relative to the preceding vehicle measured by the relative information measurement unit; a correlation value calculation unit calculating a correlation value based on the acceleration of the vehicle and the velocity relative to the preceding vehicle in which noises are removed by the noise removal unit; and a driving concentration level detection unit detecting the point in which the maximum correlation value was calculated among the correlation values calculated by the correlation value calculation unit as a driving concentration level.
Abstract:
본 발명은 최근의 무선통신 속도 및 데이터 저장/처리 용량이 기하급수적으로 늘어나면서 빠른 시간 안에 서버에서 대용량의 빅데이터를 취합하여 저장/가공한 후 의미있는 결과를 호스트에게 전송해주는 것이 가능해졌으므로, 이를 활용해 주행중인 다수 차량에 대한 빅데이터를 수집하여 차량 주행 중 주변 위험 차량에 대한 필요하고 정확한 경고 정보를 제공하여 안전 운전 환경을 제공할 수 있는 방법 및 시스템에 관한 것이다.
Abstract:
본 발명은 부주의 운전 판정 장치 및 그 방법에 관한 것으로, 운전 초기 기준시간 동안의 주행 데이터를 이용하여 정상 운전패턴을 생성하고, 상기 정상 운전패턴을 이용하여 기준개수 이상의 부주의 운전패턴을 검출하며, 교사 학습(Supervised Learning) 방식을 통해 정상 운전과 부주의 운전의 경계를 결정한 후 이를 기반으로 운전자의 부주의 운전을 판정함으로써, 부주의 운전을 신뢰도 높게 판정할 수 있는 부주의 운전 판정 장치 및 그 방법을 제공하고자 한다.
Abstract:
The present invention relates to an apparatus and a method for monitoring driver state through driving pattern learning. The apparatus for monitoring driver state through driving pattern learning includes: a traveling pattern monitoring part for monitoring traveling pattern by analyzing vehicle operation state sensed through an internal sensor of a vehicle and surrounding condition information sensed through an external sensor of the vehicle during vehicle traveling; a driver recognition part for recognizing a driver corresponding to the traveling pattern from the driving pattern monitoring part, by calling a driver DB where driving pattern information of the driver is registered; a driving pattern learning part for learning driving pattern of the driver on the ground of the traveling pattern from the traveling pattern monitoring part, and for storing the driving pattern learning information per driver into a driving pattern learning DB; and a driver state monitoring part which calls the driving pattern learning information corresponding to the driver recognized by the driver recognition part from the driving pattern learning DB and compares the driving pattern learning information with the traveling pattern from the traveling pattern monitoring part, and monitors attention dispersion state of the driver from the comparison result. [Reference numerals] (110) Control unit; (120) Surrounding condition monitoring part; (130) Operation sensing part; (140) Driving pattern learning part; (150) Driver recognition part; (160) Traveling pattern monitoring part; (170) Driver state monitoring part; (180) Alarm control part; (191) Driver DB; (195) Driving pattern learning DB; (200) Alarming unit
Abstract:
A lane detection method of the vehicle is disclosed, which is capable of effectively selecting a region of interest for lane detection and providing lane detection using a precision map when lanes are not detected from images collected by a camera. The lane detection method of the present invention comprises the steps of: collecting the location information of a differential global positioning system, collecting image information by a camera and matching the collected information to a precision map including lane information stored in a database to confirm whether the vehicle is located at any lane on the road; converting the lane information of the precision map based on the view criteria of the camera; setting a region of interest for lane detection based on the lane information of the precision map and an average positioning error of the differential global positioning system; and calculating and correcting an error between differential global positioning system-based lane information and image-based lane information and repeatedly setting a region of interest smaller than that first set to detect lanes. [Reference numerals] (102) Camera;(103) Database;(104) Control unit;(AA) Lane detection information
Abstract:
PURPOSE: An approaching obstacle detection apparatus in an area impossible for visual determination and a method thereof are provided to easily announce a warning of an approaching obstacle to a driver even when the approaching obstacle is present in a limited area(i.e., an area impossible for visual determination) for the driver to recognize the obstacle visually. CONSTITUTION: An approaching obstacle detection(100) in an area impossible for visual determination comprises a receiving part, a first determination part, a radar beam, a sending/receiving part, and a third determination part. An approaching obstacle detection method in an area impossible for visual determination comprises the following steps. (First determining stage) Whether the area impossible for visual determination is located in the predicted distance in a forward direction of a vehicle movement is determined by the determination of a satellite signal received from an electronic control device. (Obtaining stage) When the area impossible for visual determination is located, location information about a structure forming a reflection angle corresponding with the area impossible for visual determination is obtained. (Second determining stage) A radar beam is transmitted in a sending direction of the radar beam generated based on the location information about the structure, and an effective radar beam received after passing through the reflective material is determined. (Determining stage) Whether an approaching obstacle is present in the area impossible for visual determination is determined using the result of the determination about the intensity of the effective radar beam.