Provided are an automatic parking method and device. The automatic parking method includes: acquiring a global waypoint map of a parking lot where a vehicle is to be parked and position information of available parking spaces, and performing global path planning according to the global waypoint map and the available parking space position information; starting automatic driving according to the global path planning, acquiring vehicle visual information, and performing local path planning and obstacle avoidance processing according to the vehicle visual information; and searching for a parking space when automatically driving to the vicinity of the available parking spaces, and performing parking after finding an available parking space that satisfies a parking condition.

Provided is a sensor information processing device that processes the detection results of the plurality of external-environment sensors that recognize the lane marker that divides the lane and can identify the lane marker more accurately than before. A sensor information processing device 100 includes a storage device 102 that stores a past detection result De of an external-environment sensor 200 as time-series data, and a central processing unit 101 that identifies a lane marker on the basis of the time-series data. The central processing unit 101 determines that the new detection result De belongs to the existing lane marker or the new lane marker on the basis of the comparison between the new detection result De not included in the time-series data and the time-series data.

A vehicle periphery warning device includes a detector device and a hardware processor. The detector device detects a second vehicle differing from a first vehicle. The hardware processor functions as a setting unit, an activation controller, and a corrector. The setting unit serves to set a warning area on a downstream side in a traveling direction of the first vehicle in accordance with an angle between the traveling direction of the first vehicle and a traveling direction of the second vehicle. The activation controller serves to, when the second vehicle enters the warning area, activate a warning operation activator device performing a warning operation. The corrector serves to correct the warning area when accuracy of detecting the second vehicle by the detector device is lower than a predetermined degree of accuracy.

The present invention relates to a method for assisting a driver of an ego-vehicle in a traffic situation, wherein an ego-trajectory of the ego-vehicle and a trajectory of a traffic participant are calculated, an ego-trajectory alternative is generated by applying a lateral shift to the calculated ego-trajectory, an uncertainty area at least with respect to a lateral direction is determined for each trajectory, a spatio-temporal closeness of the uncertainty area of the ego-trajectory and the uncertainty area of the trajectory of the traffic participant is estimated for each of the plurality of ego-trajectories and an ego-trajectory is selected from the plurality of ego-trajectories based on the evaluated spatio-temporal closeness.

Controlling an automated vehicle using visual anchors, including receiving, from one or more cameras of an autonomous vehicle, first video data; identifying one or more visual anchors in the first video data; determining one or more differentials between the one or more visual anchors and one or more predicted visual anchors; and determining, based on the one or more differentials, one or more control operations for the autonomous vehicle to reduce the one or more differentials.

An illustrative example embodiment of a system for controlling a vehicle includes at least one sensor configured to detect at least one localization reference and at least one processor configured to determine a location of the vehicle with a first precision based on an indication from the at least one sensor while the vehicle is traveling in a first lane of a roadway. The processor is configured to determine that at least one characteristic of the first precision is below a threshold and, based on the at least one characteristic being below the threshold, maneuver the vehicle to a second lane of the roadway.

The driving support device executes self-position estimation of an own vehicle by odometry. In the case where landmarks around the own vehicle are detected, the driving support device corrects the self-position and creates an environment map. Next, the driving support device estimates the correction accuracy of the estimated self-position. In the case where the correction accuracy is high, the driving support device selects a first operating mode of driving support. In the case where the correction accuracy is low and the accuracy of odometry is also low, the driving support device selects a second operating mode of driving support. The second operating mode is a mode in which the degree of driving support is lower than that in the first operating mode.

An autonomous vehicle and a system and method of operating the autonomous vehicle. The system includes a sensor and a processor. The processor determines an effective observation area of the sensor, the effective observation area being affected by an extrinsic condition. The processor determines an available time for performing a lane change based on the effective observation area and performs the lane change based on the available time.

A vehicle includes an inertial measurement unit (IMU); and a controller electrically connected to the IMU. The controller is configured to receive an output signal including at least one of an angular velocity and an acceleration from the IMU, to identify a driving state of the vehicle according to at least one of the output signal, a steering angle of the vehicle, a steering angular velocity of the vehicle, a number of gear stages of the vehicle, a wheel speed of the vehicle, and a braking pressure of the vehicle, to identify an offset and an offset reliability of the output signal according to the driving state of the vehicle, and to transmit a signal from which the offset is removed from the output signal according to the offset and the offset reliability.

Provided are a method and a device for assisting with driving of a vehicle, the method including sensing an ambient environment of location of a vehicle by using one or more sensors mounted on or in the vehicle; obtaining sensing information about the ambient environment based on the sensing of the ambient environment; comparing map information stored in the vehicle with the obtained sensing information; determining a map reliability of the map information based on a result of the comparing; and controlling the driving of the vehicle based on the determined map reliability.