A vehicle driving assist apparatus sets a lower limit of an enlarged vehicle moving speed control range such that a first lower limit difference is smaller than a second lower limit difference while an enlarged constant speed moving control is executed. The first lower limit difference is a difference between the lower limit of the enlarged vehicle moving speed control range and a set vehicle moving speed when a constant speed acceleration determination change condition is satisfied. The second lower limit difference is the difference between the lower limit of the enlarged vehicle moving speed control range and the set vehicle moving speed when the constant speed acceleration determination change condition is not satisfied. The constant speed acceleration determination change condition is a condition that the set vehicle moving speed is equal to or smaller than a predetermined vehicle moving speed.

The present disclosure provides a vehicle control device and method. The vehicle control device includes: a vehicle detection part that detects vehicles existing around the driver's vehicle and outputs a detection result; and a control part coupled to the vehicle detection part. The control part includes: a vehicle control part that controls a vehicle distance to a preceding vehicle based on the detection result; and an adaptive part that uses an adaptation algorithm to accelerate/decelerate the driver's vehicle according to the acceleration/deceleration instruction from the driver when the vehicle control part is executing control of the vehicle distance. The adaptive part changes the vehicle acceleration/deceleration characteristic of the driver's vehicle in the control of the vehicle distance based on the history of the acceleration/deceleration instruction.

Among other things, techniques are described for screening and monitoring the health of a vehicle user including receiving sensor data produced by a sensor at the vehicle, processing the sensor data to determine at least one health condition of the user of the vehicle, and in response to determining the at least one health condition, executing a vehicle function selected from a plurality of vehicle functions based on the at least one health condition.

Performance anomalies in autonomous vehicle can be difficult to identify, and the impact of such anomalies on systems within the autonomous vehicle may be difficult to understand. In examples, systems of the autonomous vehicle are modeled as nodes in a probabilistic graphical network. Probabilities of data generated at each of the nodes is determined. The probabilities are used to determine capabilities associated with higher level functions of the autonomous vehicle.

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.

Provided is a system and method that can control a merge of an autonomous vehicle when other vehicles are present on the road. In one example, the method may include iteratively estimating a series of values associated with one or more vehicles in an adjacent lane with respect to an ego vehicle, identifying a trend associated with the one or more vehicles from the iteratively estimated series of values, determining merge intentions of the one or more vehicles with respect to the ego vehicle based on the identified trend over time, verifying the merge intentions against a simulated change in the trend, selecting a merge position of the ego vehicle with respect to the one or more vehicles within the lane based on the verified merge intentions, and executing an instruction to cause the ego vehicle to perform a merge operation based on the selected merge position.

A method for operating a first vehicle operated in an at least semiautomated manner. Surrounding-area information and operating data of the first vehicle operated in an at least semiautomated manner are initially acquired. At least one second vehicle traveling ahead in the direction of travel of the first vehicle is detected as a function of the acquired surrounding-area information. At least one collision-free evasive trajectory of the first vehicle is calculated in response to a predicted collision of the second vehicle, as a function of the acquired surrounding-area information and the acquired operating data of the first vehicle. A distance from the first vehicle to the second vehicle is adjusted in such a manner that at least one collision-free evasive trajectory is available. A processing unit and a first vehicle including the processing unit are also described.

Disclosed is an electronic apparatus for vehicles, including; a processor configured to receive sensor data including an image of the outside of a vehicle, to identify a danger-factor from the sensor data through a first learning model, to learn a danger determination criterion depending on the danger-factor through a second learning model, and, when the danger-factor satisfies the danger determination criterion, to generate a warning signal for warning a user of presence of the danger-factor. One or more of the autonomous vehicle of the present disclosure, a user terminal and a server may be connected to or combined/integrated with an Artificial Intelligence module, an Unmanned Aerial Vehicle (UAV), such as a drone, a robot, an Augmented Reality (AR) apparatus, a virtual reality (VR) apparatus, an apparatus related to 5G service, etc.

A driving assist apparatus for a vehicle includes a front-side-environment recognition camera, a front-side-environment recognition sensor, and a control device. The front-side-environment recognition camera is configured to recognize a driving environment ahead of the vehicle. The front-side-environment recognition sensor is configured to recognize the driving environment ahead of the vehicle. In a case where image recognition of the front-side-environment recognition camera for a leading vehicle for adaptive cruise control has deteriorated during execution of the adaptive cruise control, the control device is configured to continue executing the adaptive cruise control based on a distance from the vehicle to the leading vehicle obtained by the front-side-environment recognition sensor.

In a vehicle traveling remote control system, vehicles and a remote control apparatus communicate repeatedly transmit, from the remote control apparatus to each vehicle, a remote control value to be used to control traveling of the vehicle. The vehicle traveling remote control system includes the remote control apparatus and a traveling control unit. The remote control apparatus includes a remote control value generating unit that repeatedly generates the remote control value for traveling control of each vehicle, on the basis of detection information detected by each vehicle. The traveling control unit is provided in each vehicle and executes the traveling control on the basis of the remote control value repeatedly received from the remote control apparatus. The remote control value generating unit generates the remote control value by a process that varies depending on a communication delay of vehicle information including the detection information received from each vehicle.