Provided are systems and methods for a deep learning based beam control. Sensor data associated with the environment and the corresponding detected objects from a perception system are obtained. Object features and image features are extracted. The extracted object features and image features are fused into fused features. A beam control status is predicted according to the fused features, wherein the beam control status indicates a high beam illumination intensity or a low beam illumination intensity of a light emitting device.

A vehicle includes a first sensor for sensing a first image, a second sensor for sensing a second image, and a processor that is configured to generate seating information of a passenger based on the first image, and generate posture information of the passenger with the generated seating information based on at least one of the first image or the second image.

An agricultural machine includes one or more illuminators to illuminate surroundings of the agricultural machine in a traveling direction thereof, and a controller to control self-driving of the agricultural machine while keeping at least one of the one or more illuminators deactivated at nighttime.

Methods of determining relevance of objects that a vehicle's perception system detects are disclosed. A system on or in communication with the vehicle will identify a time horizon, and a look-ahead lane based on a lane in which the vehicle is currently traveling. The system defines a region of interest (ROI) that includes one or more lane segments within the look-ahead lane. The system identifies a first subset that includes objects located within the ROI, but not objects not located within the ROI. The system identifies a second subset that includes objects located within the ROI that may interact with the vehicle during the time horizon, but not excludes actors that may not interact with the vehicle during the time horizon. The system classifies any object that is in the first subset, the second subset or both subsets as a priority relevant object.

An advanced driver assistance system is provided. The advanced driver assistance system of the vehicle comprises a communicator configured to communicate with an obstacle detector configured to detect an obstacle; and a processor configured to determine a riding intention of a user in response to reception of a door unlocking instruction, obtain location information of other vehicles based on obstacle information detected by the obstacle detector in response to determining that the riding intention exists, determine a collision possibility with other vehicles based on the location information of other vehicles, and control output of notification information for a collision in response to determining that the collision possibility exists.

There is provided an automated valet parking server that causes an autonomous driving vehicle in a parking place to perform automated valet parking by instructing the autonomous driving vehicle. The automated valet parking server includes an illuminance information acquisition unit configured to acquire illuminance information of front lighting devices of the autonomous driving vehicle, an illuminance suppression point setting unit configured to set an illuminance suppression point which is a position in the parking place at which illuminance of the front lighting devices of the autonomous driving vehicle is suppressed based on parking place map information of the parking place and the illuminance information of the front lighting devices of the autonomous driving vehicle, and an illuminance suppression instruction unit configured to instruct the autonomous driving vehicle to perform illuminance suppression at the illuminance suppression point.

Disclosed is an electronic device for a vehicle, including a processor acquiring image data acquired by a camera mounted in a vehicle, determining a riding intention of an outside person based on the location, posture, and gesture of the outside person detected from the image data, and generating a control signal to stop the vehicle based on the riding intention.

To realize an apparatus and a method for receiving a recognition level of an own vehicle from another vehicle and/or an infrastructure facility and performing control to improve a recognition level. A recognition level of the own vehicle calculated by another vehicle or the infrastructure facility is received, and control for improvement of a recognition level of the own vehicle is executed in accordance with the received recognition level. As the control for improvement of a recognition level of the own vehicle, any process is executed among: (a) a process of reducing a traveling speed or stopping; (b) a process of turning on a light; and (c) a process of changing transmission information from the own vehicle. As the process of changing transmission information, a process of adding, to the transmission information, vehicle location information, vehicle speed information, vehicle size information, or reference marker position information is executed.

A control method according to the present disclosure includes: obtaining (receiving) position information (a danger warning signal) indicating a target position where a target object is present; determining whether the vehicle is driving autonomously or is being driven manually; when the vehicle is determined to be being driven manually, inspecting whether the target position is located within a predetermined region of a travel route of the vehicle based on the position information; when the target position is located within the predetermined region, changing the light transmission state of the headlight from a first state to a second state; and when the vehicle is determined to be driving autonomously and/or the target position is not located within the predetermined region, maintaining the light transmission state of the headlight.

A method for operating an assistance system for automated driving operation of a vehicle involves continuously determining an emergency trajectory along which the vehicle is brought to a standstill in a longitudinally and transversely controlled manner after activation of an emergency operation of the vehicle. In the event of an imminent or already initiated lane change of the vehicle from a starting lane to a target lane according to a determined standard trajectory, a decision is made as to whether the vehicle should be brought to a standstill in the starting lane or in the target lane when emergency operation is activated. This decision depends on the position of the vehicle on the standard trajectory. The vehicle is then brought to a standstill in the starting lane if an emergency trajectory is planned by means of which the vehicle is brought to a standstill in the starting lane within a predefined path length and/or within a predefined time period, and if in the process a predefined comfort value of a transverse acceleration acting on the vehicle is not exceeded and a predefined penetration depth of the vehicle into the target lane is not exceeded.