A method includes obtaining, using at least one processing device, a vanishing point and a boundary based on image data associated with a scene, where the boundary is associated with a detected object within the scene. The method also includes repeatedly, during multiple iterations and using the at least one processing device, (i) identifying multiple patches within the boundary and (ii) determining a similarity of the image data contained within the multiple patches. The method further includes identifying, using the at least one processing device, a modification to be applied to the boundary based on the identified patches and the determined similarities. In addition, the method includes generating, using the at least one processing device, a refined boundary based on the modification, where the refined boundary identifies a specified portion of the detected object.

A control device for a vehicle is provided, which includes a power source that generates torque for driving or braking the vehicle, an accelerator pedal sensor that detects an operating amount of an accelerator pedal, and a control unit that controls the power source. The control unit sets a target acceleration based on the accelerator pedal operating amount detected by the accelerator pedal sensor. The control unit sets a target jerk based on the target acceleration, and when the target acceleration increases toward 0 from a value below 0, sets the target jerk so that the target jerk becomes smaller as the target acceleration approaches 0. The control unit sets torque to be outputted or regenerated by the power source, based on the target acceleration and the target jerk.

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.

Systems and methods for identifying objects in an environment of a host vehicle are disclosed. In one implementation, a system includes a processor configured to receive images representative of the environment of the host vehicle; assign first pixel descriptor values to a plurality of pixels associated with a first image and second pixel descriptor values to a plurality of pixels associated with a second image; identify object representations in the first image and the second image based on at the first pixel descriptor values and the second pixel descriptor values, respectively; determine a first object descriptor and a second object descriptor based on the first pixel descriptor values and the second pixel descriptor values, respectively; and based on a comparison of the first object descriptor and the second object descriptor, output an indication that the object representations in the first image and the second image represent a common object.

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.

An electronic control device provided in a vehicle that mounts an in-vehicle system is provided. The electronic control device may detect an abnormality that occurs in the in-vehicle system. The electronic control device may detect an operation related to a lane change. The electronic control device may store a travel plan for performing an autonomous driving of the vehicle. The electronic control device may acquire at least one of a subject vehicle information item on the vehicle, a surrounding information item on a surrounding environment of the vehicle, and a driver information item on a driver.

There are provided an object recognition apparatus that raises the recognition accuracy for a surrounding object and a vehicle control apparatus, and an object recognition method and a vehicle control method. An object recognition apparatus receives object data, which is a state value of the object, from a first sensor for detecting a surrounding object; compares estimation data obtained through estimation of a state value of the object, based on recognition data calculated in a past period, with the object data, and determines whether or not the object data is data in a low-resolution state; then, in accordance with the determination result, calculates the state value of the object by use of object data and estimation data and then generates the state value as recognition data, so that the recognition accuracy for an object is raised.