Abstract: A vehicle for autonomous driving is capable of performing a minimum risk maneuver. The vehicle includes: at least one sensor, a processor and a controller, where the processor may detect whether a minimum risk maneuver (MRM) is required based on at least one of surrounding environment information and vehicle state information during autonomous driving of the vehicle, determine an MRM type based on a possibility of colliding with a neighboring vehicle when the MRM is required, and control to stop the vehicle based on the determined MRM type.

Abstract: An embodiment method for operating a vehicle includes monitoring a state of the vehicle, determining a type of a minimum risk maneuver based on the state of the vehicle, wherein the type of the minimum risk maneuver comprises a straight-ahead stopping type in which the vehicle stops after driving straight ahead only and a lane change stopping type in which the vehicle stops after changing a lane, and executing the determined type of the minimum risk maneuver.

Abstract: An embodiment method of operating a vehicle includes generating a minimal risk maneuver request of the vehicle in response to a determination that there is an abnormality in a state of the vehicle, in response to the minimal risk maneuver request being generated, selecting a minimal risk maneuver type from among a plurality of minimal risk maneuver types based on the state of the vehicle, and performing a minimal risk maneuver based on the selected minimal risk maneuver type.

Abstract: An embodiment method for operating a vehicle includes monitoring a state of the vehicle, determining a type of an emergency stop from a plurality of types of emergency stops based on the state of the vehicle, and executing the determined type of the emergency stop. An embodiment vehicle includes sensors, a processor configured to control automated driving of the vehicle based on state information of components of the vehicle and surrounding environment information of the vehicle detected by the sensors, and a controller configured to control an operation of the vehicle based on a control of the processor, wherein the processor is further configured to monitor a state of the vehicle, determine a type of an emergency stop from a plurality of types of emergency stops based on the state of the vehicle, and execute the determined type of the emergency stop by controlling the controller.

Abstract: An apparatus for predicting a concurrent lane change of multiple vehicles to prevent or minimize collision, and a vehicle using the same. The apparatus includes a subject vehicle state estimator for estimating a state of a subject vehicle based on subject vehicle information and surrounding lane state information, a surrounding vehicle state estimator for estimating a state of a surrounding vehicle based on the subject vehicle state information and surrounding vehicle information, a lane state estimator for estimating a state of a surrounding lane based on the estimated subject vehicle state information and surrounding lane information, and a lane change predictor for predicting concurrent lane change of the subject vehicle and the surrounding vehicle based on the estimated subject vehicle state information, the estimated surrounding vehicle state information and the estimated surrounding lane state information.

Abstract: A close cut-in vehicle identification apparatus includes an information generator configured to generate sensor fusion information, estimated vehicle state information, and risk determination information based on surrounding vehicle information upon receiving the surrounding vehicle information, a feature combination generator configured to extract a plurality of features based on the sensor fusion information, the estimated vehicle state information, and the risk determination information and to combine the extracted features to generate a plurality of feature combinations, a classification learner configured to classify and learn the plurality of feature combinations depending on a weight factor, and a vehicle intention determination device configured to determine intention of a surrounding vehicle based on a classification learning result value to select an optimum feature combination corresponding to identification of the close cut-in vehicle and configured to determine a situation of the close cut-in veh

Abstract: An apparatus and a method are capable of accurately deciding a maneuver of a surrounding vehicle. The apparatus includes a first surrounding vehicle information detector configured to obtain first surrounding vehicle information for a surrounding vehicle of a vehicle by using a front radar device. The apparatus further includes a second surrounding vehicle information detector configured to obtain second surrounding vehicle information for the surrounding vehicle by using a corner radar device. The apparatus also includes a processor configured to decide a motion of the surrounding vehicle by using the first surrounding vehicle information and the second surrounding vehicle information. The processor is also configured to decide a maneuver of the surrounding vehicle by using maneuver decision logic derived by a mechanical training technique. The processor is further configured to decide a final maneuver of the surrounding vehicle by using the two decision results.

Abstract: A close cut-in vehicle identification apparatus includes an information generator configured to generate sensor fusion information, estimated vehicle state information, and risk determination information based on surrounding vehicle information upon receiving the surrounding vehicle information, a feature combination generator configured to extract a plurality of features based on the sensor fusion information, the estimated vehicle state information, and the risk determination information and to combine the extracted features to generate a plurality of feature combinations, a classification learner configured to classify and learn the plurality of feature combinations depending on a weight factor, and a vehicle intention determination device configured to determine intention of a surrounding vehicle based on a classification learning result value to select an optimum feature combination corresponding to identification of the close cut-in vehicle and configured to determine a situation of the close cut-in veh

Abstract: An apparatus for predicting a concurrent lane change vehicle is capable of accurately predicting another vehicle performing concurrent lane change to prevent or minimize collision, and a vehicle using the same. The apparatus includes a subject vehicle state estimator for estimating a state of a subject vehicle based on subject vehicle information and surrounding lane state information, a surrounding vehicle state estimator for estimating a state of a surrounding vehicle based on the subject vehicle state information and surrounding vehicle information, a lane state estimator for estimating a state of a surrounding lane based on the estimated subject vehicle state information and surrounding lane information, and a lane change predictor for predicting concurrent lane change of the subject vehicle and the surrounding vehicle based on the estimated subject vehicle state information, the estimated surrounding vehicle state information and the estimated surrounding lane state information.

Abstract: An apparatus and a method are capable of accurately deciding a maneuver of a surrounding vehicle. The apparatus includes a first surrounding vehicle information detector configured to obtain first surrounding vehicle information for a surrounding vehicle of a vehicle by using a front radar device. The apparatus further includes a second surrounding vehicle information detector configured to obtain second surrounding vehicle information for the surrounding vehicle by using a corner radar device. The apparatus also includes a processor configured to decide a motion of the surrounding vehicle by using the first surrounding vehicle information and the second surrounding vehicle information. The processor is also configured to decide a maneuver of the surrounding vehicle by using maneuver decision logic derived by a mechanical training technique. The processor is further configured to decide a final maneuver of the surrounding vehicle by using the two decision results.

Abstract: An apparatus for recognizing a following vehicle includes a rear radar for detecting an object located in the rear of a subject vehicle, a guardrail area detector for detecting a guardrail area of a road using a road image of front of the subject vehicle and an image of a stationary object among objects detected by the rear radar, and a following vehicle recognizing unit for recognizing, as a following vehicle, a vehicle located on a road in the same traveling direction as that of the subject vehicle among objects detected by the rear radar, wherein the following vehicle is not included in the guardrail area detected by the guardrail area detector.