An apparatus for controlling an autonomous vehicle disclosure may include a processor and a memory configured to be operatively connected to the processor and to store at least one code performed in the processor, wherein the memory may store a code that, when executed by the processor, causes the processor to control the autonomous vehicle to travel on the basis of a distance from a preceding vehicle in a travel lane in which the autonomous vehicle travels or a preset speed, determine a risk level of a lane change on the basis of a speed of the autonomous vehicle, a speed of a side vehicle traveling in a target lane of a lane change, and a distance between the autonomous vehicle and the side vehicle upon occurrence of a lane change request, and perform longitudinal or lateral control for the lane change on the basis of the risk level.

A vehicular collision avoidance system includes a forward-viewing camera, a rearward-viewing camera, a rearward-sensing non-vision sensor and an electronic control unit. The vehicular collision avoidance system detects vehicles present forward and/or rearward of the equipped vehicle. Responsive to at least one selected from the group consisting of (i) data processing of image data captured by the rearward-viewing camera and (ii) data processing of sensor data captured by the rearward-sensing non-vision sensor, the vehicular collision avoidance system detects another vehicle approaching the equipped vehicle from the rear, determines that the other vehicle is traveling in the same traffic lane as the equipped vehicle, determines speed difference between the vehicles, and determines distance from the equipped vehicle to the other vehicle. Based on such determinations, the system determines that impact with the equipped vehicle by the other vehicle is imminent.

A control device for collision avoidance assistance includes a processor. The processor is configured to execute region setting processing for setting an assistance determination region indicating a particular region forward of a vehicle, and to execute accumulation processing in which the processor gives an object a determination value and accumulates the determination value. The object is located in the assistance determination region. The determination value is decided according to the position of the object. The processor is configured to perform collision avoidance assistance control of assisting in avoidance of collision of the vehicle and the object based on driving environment information indicating a driving environment of the vehicle, when a cumulative value regarding the object calculated in the accumulation processing exceeds a predetermined threshold value.

A vehicle display control device displays a predetermined image at a display region showing a view ahead of a vehicle, the device including: a memory; and a processor coupled to the memory, the processor being configured to: acquire a travel state of the vehicle, and in a case in which the acquired travel state is a first mode in which an object ahead of the vehicle is detected and travel of the vehicle is controlled, display, at the display region, a first image indicating that the travel state is the first mode at a position that does not overlap with the object ahead of the vehicle.

Example methods and systems for controlling speeds of a vehicle may generally determine a target vehicle acceleration using an autonomy control module of the vehicle. The target vehicle acceleration may be determined based upon at least one of a target vehicle following distance, a target vehicle following speed, or a target vehicle speed. The determined vehicle acceleration may be mapped to a level of vehicle torque using a vehicle dynamics module of the vehicle. Additionally, the level of vehicle torque may be applied to one or more wheels of the vehicle.

A vehicle includes a controller programed to: collect a set of data related to a driver of the vehicle; predict a driving setting for the driver using the set of data and an initial student-T process (STP) machine learning (ML) model; generate an updated STP ML model based on the prediction of the driving setting as to the set of vehicle data; transmit incremental learning related to the updated STP ML model to a server; and receive, from the server, a personalized driving setting for the driver output from a cloud STP ML model trained by the incremental learning.

A surrounding situation information acquisition device acquires surrounding situation information of a vehicle. A steering angle sensor detects a steering angle and a steering direction of the vehicle. A steering assist controller executes traveling control involving steering assist control based on information output from the surrounding situation information acquisition device and information output from the steering angle sensor. The steering assist controller recognizes, based on the information output from the surrounding situation information acquisition device, an oncoming vehicle in an oncoming lane adjacent to a traveling lane of the vehicle and an avoidance target on a road shoulder side of the traveling lane of the vehicle, estimates an avoidance priority level of the oncoming vehicle and an avoidance priority level of the avoidance target, and sets a new target lane keeping traveling path of the vehicle based on the avoidance priority levels.

Disclosed are an apparatus for controlling a stop of a vehicle and a method thereof. In order to prevent a collision accident occurring by a second rear vehicle in an emergency stop of the vehicle in advance, the apparatus includes a vehicle sensor that detects various types of information on a target vehicle, a rear sensor that detects a first rear vehicle and a second rear vehicle driving behind the target vehicle, and a controller that is electrically connected to the vehicle sensor and the rear sensor to control an emergency stop of the target vehicle in consideration of a state of a field of view of the second rear vehicle with respect to the target vehicle when the target vehicle is stopped in emergency.

In deceleration set processing, first-class and second-class deceleration are specified. The first-class deceleration is deceleration of the vehicle corresponding to a first-class state. The first-class state is a state of a slowdown target of the vehicle. The second-class deceleration is deceleration of a following moving body corresponding to a second-class state. The second-class state is a state of the vehicle as viewed from the following moving body. If a minimum value of the first-class deceleration (a first-class minimum value) is equal to or greater than a minimum value of the second-class deceleration (a second-class minimum value), target deceleration is set to the first-class minimum value. Otherwise, based on a second-class minimum value phase, the target deceleration is set to deceleration equal to or greater than the second-class minimum value. The second-class minimum value phase is a phase to which the second-class minimum value belongs in a second deceleration feature.

A pedestrian protection apparatus may include: an active sensor configured to sense a forward obstacle of a vehicle; a passive sensor configured to sense a collision of the vehicle; a storage unit configured to store a collision threshold value which is set according to the passive sensor and a protection subject; a protection module driving unit configured to drive a protection module for protecting the protection subject in case of a collision with the vehicle; and a control unit configured to identify the protection subject based on the sensing result of the active sensor, adjust the collision threshold value according to the protection subject, compare the sensing result of the passive sensor to the collision threshold value, and operate the protection module driving unit.