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:
The present invention provides a steering risk decision system and method that determine and provide a steering risk of a vehicle to a driver. The system includes an obstacle sensor that senses an obstacle to generate first sensor data and a driving state sensor senses a driving state of a vehicle to generate second sensor data. In addition, a processor extracts feature points from first sensor data to indicate the obstacle in point and line shapes and predicts a driving region of the vehicle using second sensor data. Further, the processor calculates a relationship between the vehicle and the obstacle using information for the obstacle indicated in the point and line shapes and information for the driving region to determine a steering risk of the vehicle based on the calculated result.
Abstract:
A method for detecting a narrow road includes calculating relative heights of points from a distance measuring sensor to a ground based on distance information. A left boundary point and a right boundary point, at which a difference in relative heights from adjacent points becomes maximal, are acquired. A road boundary line of a driving road is acquired based on the left boundary point and the right boundary point depending on a movement trajectory of the vehicle when a difference in relative heights at the left boundary point and the right boundary point is more than or equal to a reference value. A road width of the driving road is calculated based on the road boundary line. It is detected whether the driving road of the vehicle is a narrow road based on the road width.
Abstract:
An apparatus and a method for controlling driving of a vehicle are provided and the apparatus includes a sensor unit that has at least one sensor disposed at sides of a vehicle. In addition, a controller uses sensing information received from the sensor unit to confirm whether the vehicle enters a path and detects obstacles located in the path. The controller calculates a left and right width of the path based on the obstacles and then confirms whether the path is a narrow road. Further, the controller is configured to output a driving guidance to the confirmed narrow road.
Abstract:
A method of controlling autonomous driving of a vehicle includes: selecting a target object ahead of the vehicle based on driving information, generating a velocity profile for maintaining a desired distance to the target object, calculating a desired acceleration based on the velocity profile and a delay time of the vehicle, and controlling an actuator of the vehicle based on the desired acceleration.
Abstract:
A traveling control system of an autonomous vehicle includes a 2D LIDAR sensor, a wheel speed sensor for detecting a speed of the vehicle, a yaw rate sensor for detecting a rotational angular speed of the vehicle, and an error corrector for determining a straight-line situation using a LIDAR point detected by the 2D LIDAR sensor, extracting a straight lateral distance value according to the result of determination, accumulating the LIDAR point according to the trajectory of traveling of the vehicle detected by the wheel speed sensor and the yaw rate sensor, estimating an error between the accumulated point and the extracted straight line, and calculating and feeding back an offset correction parameter of the yaw rate sensor when the estimated error value is greater than a predetermined threshold value to automatically correct an error parameter of the yaw rate sensor.
Abstract:
An apparatus and method for controlling a vehicle speed based on information about forward vehicles that travel in the same lane may be acquired using Vehicle to Everything (V2X) communications in a cooperative adaptive cruise control (CACC) system. The CACC system includes a communication unit receiving vehicle information from neighboring vehicles using V2V communications; an information collection unit collecting vehicle information of the neighboring vehicles and the subject vehicle using sensors; and a control unit determining a forward vehicle and a far-forward vehicle using the sensors, selecting first and second target vehicles for being followed by the subject vehicle based on the vehicle information of the forward vehicle and the far-forward vehicle and the vehicle information of the neighboring vehicles, and controlling the driving speed of the subject vehicle based on speed information of the first and second target vehicles.
Abstract:
A method for detecting a narrow road includes calculating relative heights of points from a distance measuring sensor to a ground based on distance information. A left boundary point and a right boundary point, at which a difference in relative heights from adjacent points becomes maximal, are acquired. A road boundary line of a driving road is acquired based on the left boundary point and the right boundary point depending on a movement trajectory of the vehicle when a difference in relative heights at the left boundary point and the right boundary point is more than or equal to a reference value. A road width of the driving road is calculated based on the road boundary line. It is detected whether the driving road of the vehicle is a narrow road based on the road width.
Abstract:
The present disclosure provides a lane estimating apparatus and method. The apparatus includes: a lane determiner, an obstacle position calculator, a vehicle position corrector, and a lane estimator. The lane determiner compares a first lane detected by a first sensor with a lane on an actual road or a second lane on a local map to determine reliability of the first lane. The obstacle position calculator detects, when the reliability of the detected first lane is less than a preset reference, a first obstacle in the vicinity of a vehicle and a second obstacle on the local map, and calculates a difference between slopes and positions of straight lines extracted from the first obstacle and the second obstacle. The vehicle position corrector corrects a heading direction and a position of the vehicle based on the difference between the slopes and positions of the straight lines. In addition, the lane estimator estimates a driving lane on the local map.
Abstract:
An apparatus and method for identifying surrounding vehicles is provided. The apparatus includes a sensor that measures position coordinates of a first surrounding vehicle and a yaw rate and a speed of a subject vehicle and a V2V communication unit that receives a coordinate history and a speed from the plurality of surrounding vehicles. Additionally, a controller generates a traveling trajectory and a speed pattern as first identification information by applying accumulated behaviors of the subject vehicle to the position coordinates of the first surrounding vehicle and calculate each traveling trajectory and speed pattern as n-th identification information based on the coordinate history and the speed received via the V2V communication unit. The controller then compares the first identification information with the n-th identification information to recognize the surrounding vehicle corresponding to identification information most similar to the first identification information as the first surrounding vehicle.