An autonomous guidance system that operates a vehicle in an autonomous mode includes a camera module, a radar module, and a controller. The camera module outputs an image signal indicative of an image of an object in an area about a vehicle. The radar module outputs a reflection signal indicative of a reflected signal reflected by the object. The controller determines an object-location of the object on a map of the area based on a vehicle-location of the vehicle on the map, the image signal, and the reflection signal. The controller classifies the object as small when a magnitude of the reflection signal associated with the object is less than a signal-threshold.

An autonomous guidance system that operates an automated vehicle in an autonomous mode includes a camera module, a radar module, and a controller. The camera module outputs an image signal indicative of an image of an object in an area about a vehicle. The radar module outputs a reflection signal indicative of a reflected signal reflected by the object. The controller generates a map of the area based on a vehicle-location of the vehicle, the image signal, and the reflection signal, wherein the controller classifies the object as small when a magnitude of the reflection signal associated with the object is less than a signal-threshold.

Aspects of the disclosure relate generally to controlling an autonomous vehicle in a variety of unique circumstances. These include adapting control strategies of the vehicle based on discrepancies between map data and sensor data obtained by the vehicle. These further include adapting position and routing strategies for the vehicle based on changes in the environment and traffic conditions. Other aspects of the disclosure relate to using vehicular sensor data to update hazard information on a centralized map database. Other aspects of the disclosure relate to using sensors independent of the vehicle to compensate for blind spots in the field of view of the vehicular sensors. Other aspects of the disclosure involve communication with other vehicles to indicate that the autonomous vehicle is not under human control, or to give signals to other vehicles about the intended behavior of the autonomous vehicle.

A control device of a vehicle comprises: a driving plan generating part 90 configured to generate a driving plan in automated driving of the host vehicle; a package extracting part 91 configured to extract driving assistance packages packaging permissions for a plurality of driving assistance operations based on at least one of the surrounding environment information, the vehicle information, and the driver information; a package proposing part 92 configured to propose driving assistance packages to the driver of the host vehicle based on the driving assistance packages extracted by the package extracting part and the driving plan; and an automated driving executing part 93 configured to perform driving assistance operations permitted in a driving assistance package proposed by the package proposing part and approved by the driver of the host vehicle.

The invention relates to a vacuum cleaner robot comprising a dust collector arrangement mounted on wheels, a suction hose and a floor nozzle mounted on wheels, where the floor nozzle is fluidically connected to the dust collector arrangement via the suction hose, also comprising a motorized fan unit for suctioning an air stream in through the floor nozzle, where the motorized fan unit is arranged between the floor nozzle and the dust collector arrangement in such a manner that an air stream suctioned in through the floor nozzle flows through the motorized fan unit and into the dust collector arrangement. where the dust collector arrangement comprises a drive device in order to drive at least one of the wheels of the dust collector arrangement, and where the floor nozzle comprises a drive device in order to drive at least one of the wheels of the floor nozzle.

The present invention relates to a vacuum cleaner robot comprising a floor nozzle supported on wheels and a dust collection unit, wherein the floor nozzle comprises a driving device for driving at least one of the wheels of the floor nozzle, wherein one of the wheels, a plurality of or all of the wheels of the floor nozzle are omnidirectional wheels, wherein the floor nozzle comprises a base plate with a base surface, which, when the vacuum cleaner robot is in operation, faces the surface to be cleaned, the base plate having provided therein an air flow channel, which extends parallel to the base surface and through which air to be cleaned enters the floor nozzle, and wherein the floor nozzle comprises a rotating means for rotating the air flow channel about an axis perpendicular to the base surface.

A driving support Electronic Control Unit (ECU) initializes a target trajectory calculation parameter at a start of Lane Change Assist Control (LCA), calculates, based on the target trajectory calculation parameter, a target trajectory function representing a target lateral position in accordance with an elapsed time from the start of LCA; and calculates a target control amount according to the target trajectory function. When it is determined that the own vehicle has crossed a boundary white line, the driving support ECU again initializes the target trajectory calculation parameter, and calculate the target trajectory function based on the target trajectory calculation parameter.

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.

Systems and methods for determining object prioritization and predicting future object locations for an autonomous vehicle are provided. A method can include obtaining, by a computing system comprising one or more processors, state data descriptive of at least a current or past state of a plurality of objects that are perceived by an autonomous vehicle. The method can further include determining, by the computing system, a priority classification for each object in the plurality of objects based at least in part on the respective state data for each object. The method can further include determining, by the computing system, an order at which the computing system determines a predicted future state for each object based at least in part on the priority classification for each object and determining, by the computing system, the predicted future state for each object based at least in part on the determined order.

A self-moving device, including: a moving module, a task execution module, a control module. The control module is electrically connected to the moving module and the task execution module, controls the moving module to actuate the self-moving device to move, controls the task execution module to execute a working task. The self-moving device further includes a satellite navigation apparatus, electrically connected to the control module and configured to receive a satellite signal and output current location information of the self-moving device. The control module determines whether quality of location information output by the satellite navigation apparatus at a current location satisfies a preset condition, controls, if the quality does not satisfy the preset condition, the moving module to actuate the self-moving device to change a moving manner, to enable quality of location information output by the satellite navigation apparatus at a location after the movement to satisfy the preset condition.