The present disclosure relates to an apparatus and method for controlling an autonomous vehicle to allow an autonomous vehicle to safely pass through a road according to a driver's choice when the width of the road is narrow. The apparatus includes a sensor for acquiring information data of obstacles and vehicles in front of and on a side of a host vehicle, a signal processor for outputting data with respect to positions and media of obstacles and a determination signal representing presence or absence of a vehicle on a driving path, a controller for determining whether driving is possible by analyzing information acquired by the sensor and outputting a control signal corresponding to a selection signal of the driver, an interface for displaying an image processed by the signal processor, and an autonomous driving function unit for performing autonomous driving according to the control signal.

The present disclosure relates to an apparatus and method for controlling an autonomous vehicle to allow an autonomous vehicle to safely pass through a road according to a driver's choice when the width of the road is narrow. The apparatus includes a sensor for acquiring information data of obstacles and vehicles in front of and on a side of a host vehicle, a signal processor for outputting data with respect to positions and media of obstacles and a determination signal representing presence or absence of a vehicle on a driving path, a controller for determining whether driving is possible by analyzing information acquired by the sensor and outputting a control signal corresponding to a selection signal of the driver, an interface for displaying an image processed by the signal processor, and an autonomous driving function unit for performing autonomous driving according to the control signal.

The present invention discloses a system for detecting an obstacle for a vehicle. The system includes an information collection unit that monitors movement information of a vehicle, road information, and location information of the vehicle; a determination unit that determines whether the vehicle enters a special mode in which the vehicle turns and moves backward on a road through the movement information of the vehicle, the road information, and the location information of the vehicle from the information collection unit; and a controller that deactivates a rear monitoring function of either side of the vehicle in response to a determination that the vehicle enters the special mode.

An ADAS-linked active hood apparatus includes an ADAS device that measures information regarding a driving state of a vehicle and an object and a collision sensor unit that is positioned at a front of the vehicle and measures collision with the object. An active hood lift system (AHLS) raises one end of a hood of the vehicle based on a signal from the collision sensor unit. A controller sets a pedestrian detection threshold (PDT) turn, receives information regarding a plurality of front objects from the ADAS device to compensate for a PDT, compensates for an output reference value of the collision sensor unit based on the compensated PDT, and determines whether collision occurs using the collision sensor unit to adjust pop-up of the AHLS when an output value equal to or greater than the compensated reference value is applied.

An ADAS-linked active hood apparatus includes an ADAS device that measures information regarding a driving state of a vehicle and an object and a collision sensor unit that is positioned at a front of the vehicle and measures collision with the object. An active hood lift system (AHLS) raises one end of a hood of the vehicle based on a signal from the collision sensor unit. A controller sets a pedestrian detection threshold (PDT) turn, receives information regarding a plurality of front objects from the ADAS device to compensate for a PDT, compensates for an output reference value of the collision sensor unit based on the compensated PDT, and determines whether collision occurs using the collision sensor unit to adjust pop-up of the AHLS when an output value equal to or greater than the compensated reference value is applied.

A method for the preparation of an obstacle map, wherein the obstacle map comprises cells, includes assigning each of the cells to segments of an environment of the vehicle, and assigning to each of the cells information as to whether the corresponding segment of the environment is occupied by an obstacle. The method also includes preparing an environment map that comprises the cells, and determining a threshold value specification, where the threshold value specification specifies different threshold values for the cells of the environment map. The threshold value specification is determined depending on a trajectory of the vehicle. An obstacle map is then determined on the basis of the environment map and the threshold value specification.

A method for the preparation of an obstacle map, wherein the obstacle map comprises cells, includes assigning each of the cells to segments of an environment of the vehicle, and assigning to each of the cells information as to whether the corresponding segment of the environment is occupied by an obstacle. The method also includes preparing an environment map that comprises the cells, and determining a threshold value specification, where the threshold value specification specifies different threshold values for the cells of the environment map. The threshold value specification is determined depending on a trajectory of the vehicle. An obstacle map is then determined on the basis of the environment map and the threshold value specification.

An autonomous vehicle (AV) can include a set of sensors generating sensor data corresponding to a surrounding environment of the AV. The AV can further include a control system that determines imminent lighting conditions for one or more cameras of the set of sensors, and executes a set of configurations for the one or more cameras to preemptively compensate for the imminent lighting conditions.

An autonomous vehicle (AV) can include a set of sensors generating sensor data corresponding to a surrounding environment of the AV. The AV can further include a control system that determines imminent lighting conditions for one or more cameras of the set of sensors, and executes a set of configurations for the one or more cameras to preemptively compensate for the imminent lighting conditions.

In some examples, a controller receives information of a route of a vehicle, and selects a first parameter set from among a plurality of parameter sets based on the route of the vehicle, the plurality of parameter sets corresponding to different conditions of usage of the vehicle, where each parameter set of the plurality of parameter sets includes one or more parameters that control adjustment of one or more respective adjustable elements of the vehicle. The controller causes application of the first parameter set to control a setting of the one or more adjustable elements of the vehicle.