Abstract: An apparatus and a method for controlling driving of a vehicle include: a data collecting device configured to collect data for driving scenarios defined according to driving conditions; a pattern generating device configured to generate patterns corresponding to the driving scenarios by analyzing the data collected for the driving scenarios; a determination device configured to determine a current driving situation of the vehicle and to determine a control scenario corresponding to the current driving situation; and a controller configured to generate control data based on a pattern corresponding to at least one driving scenario matched with the control scenario and control driving of the vehicle based on the generated control data.

Abstract: A detection apparatus of vital parameters on a steering wheel is provided. The apparatus includes a horn switch, remote control switches configured to operate devices within a vehicle and a vital signal detector configured to detect a vital signal of an operator. The vital signal detector includes a detection sensor that is configured to detect the vital signal of the operator and a photo sensor that is mounted on the remote control switch. Accordingly, the separate space for the assembling portion of the vital signal detector is not required and the volume of the apparatus and the number of components are reduced. The mountability and the aesthetics are improved.

Abstract: A method of controlling an operation standby time of a driver convenience system installed in a vehicle using a control unit including a memory and a processor includes: setting a plurality of learning positions; generating a plurality of test cases based on a day of a week and a time associated with each of the plurality of set learning positions; receiving a plurality of sensor signals and a plurality of switch signals associated with the driver convenience system; generating a learned neural network algorithm by using a neural network algorithm to learn an operation standby time of each of the plurality of generated test cases based on the plurality of sensor signals and the plurality of switch signals associated with the driver convenience system; and determining an operation standby time of the driver convenience system at a current learning position using the learned neural network algorithm.

Abstract: There is provided a method for determining, by a controller, a road surface based on vehicle data, including: classifying driving conditions of a vehicle into a plurality of cases; applying a learning logic to each of the classified cases according to characteristics of the cases and constructing an inference model for each case; and determining whether a road surface on which the vehicle is running is a high friction road surface or a low friction road surface based on the inference model for each case.

Abstract: A method of controlling an operation standby time of a driver convenience system installed in a vehicle using a control unit including a memory and a processor includes: setting a plurality of learning positions; generating a plurality of test cases based on a day of a week and a time associated with each of the plurality of set learning positions; receiving a plurality of sensor signals and a plurality of switch signals associated with the driver convenience system; generating a learned neural network algorithm by using a neural network algorithm to learn an operation standby time of each of the plurality of generated test cases based on the plurality of sensor signals and the plurality of switch signals associated with the driver convenience system; and determining an operation standby time of the driver convenience system at a current learning position using the learned neural network algorithm.

Abstract: An emergency braking system is provided and brakes a vehicle by more efficiently predicting forward collision. The emergency braking system includes an imaging device that identifies a forward obstacle and a sensor that senses an external environment and a driving state of a vehicle. A controller determines a road on which the vehicle is driven, determines a current driving environment case among a plurality of driving environment cases, using external environment information and road information and learns a driving pattern for the current driving environment case, using obstacle information and driving state information. Additionally, the controller variably adjusts warning and braking intervention timings using the learned driving pattern according to the driving environment cases.

Abstract: A detection apparatus of vital parameters on a steering wheel is provided. The apparatus includes a horn switch, remote control switches configured to operate devices within a vehicle and a vital signal detector configured to detect a vital signal of an operator. The vital signal detector includes a detection sensor that is configured to detect the vital signal of the operator and a photo sensor that is mounted on the remote control switch. Accordingly, the separate space for the assembling portion of the vital signal detector is not required and the volume of the apparatus and the number of components are reduced. The mountability and the aesthetics are improved.

Abstract: An emergency braking system is provided and brakes a vehicle by more efficiently predicting forward collision. The emergency braking system includes an imaging device that identifies a forward obstacle and a sensor that senses an external environment and a driving state of a vehicle. A controller determines a road on which the vehicle is driven, determines a current driving environment case among a plurality of driving environment cases, using external environment information and road information and learns a driving pattern for the current driving environment case, using obstacle information and driving state information. Additionally, the controller variably adjusts warning and braking intervention timings using the learned driving pattern according to the driving environment cases.

Abstract: An obstacle map generation apparatus using an ultrasonic sensor comprises a sensor controller configured to control one ultrasonic sensor of a plurality of ultrasonic sensors to transmit an ultrasonic wave, and control the ultrasonic sensors to receive reflected waves; a signal aligner configured to align the reflected waves received by the ultrasonic sensors; a signal summer configured to sum signals aligned by the signal aligner; an obstacle determiner configured to determine that an obstacle exists if signal strength summed by the signal summer exceeds a threshold; and an obstacle map generator configured to generate an obstacle map based on determining result of the obstacle determiner.

Abstract: Disclosed herein is a system and method of acquiring the bias of a yaw rate sensor for a vehicle. The method includes matching, by a processor, map information based on global positioning system (GPS) information and vehicle speed information and determining a curvature of a road. The method further includes calculating, by the processor, a map based yaw degree based on the curvature of the road using steering angle information and the vehicle speed information. Additionally, the method includes acquiring, by the processor, the bias of the yaw rate sensor by comparing a measured value of the yaw rate sensor with the map based yaw degree.