A method for selecting at least one connection pattern drivable by road users using a control device. Trajectory data are received from at least one area. On the basis of the received trajectory data, starting points and end points of drivable trajectories are determined. All the connection patterns between the starting points and the end points of the drivable trajectories are determined in the form of connecting lines. The determined connection patterns are filtered by at least one filter. Connection patterns remaining after filtering are compared with route profiles from the trajectory data. For each remaining connection pattern a number of route profiles which correspond to the connection pattern are counted. A connection pattern with the highest number of matching route profiles is selected. A control device, a computer program, and a machine-readable storage medium are also described.

A system for an attention-based perception includes a camera device configured to provide an image of an operating environment of a vehicle. The system further includes a computerized device monitoring the image, analyzing sensor data to identify a feature in the image as corresponding to an object in the operating environment and assign a score for the feature based upon an identification, a location, or a behavior of the object. The computerized device is further operable to define candidate regions of interest upon the image, correlate the score for the feature to the candidate regions of interest to accrue a total region score, select some of the candidate regions for analysis based upon the total region scores, and analyze the portion of the candidate regions to generate a path of travel output. The system further includes a device controlling the vehicle based upon the output.

Systems and methods are provided for vehicle navigation. In one implementation, a system may comprise at least one processor. The processor may be programmed to receive images representative of an environment of the host vehicle and analyze the images to identify a first object and a second object. The processor may determine a first predefined navigational constraint implicated by the first object and a second predefined navigational constraint implicated by the second object, wherein the first and second predefined navigational constraints cannot both be satisfied, and the second predefined navigational constraint has a priority higher than the first predefined navigational constraint. The processor may determine a navigational action for the host vehicle satisfying the second predefined navigational constraint, but not satisfying the first predefined navigational constraint and, cause an adjustment of a navigational actuator of the host vehicle in response to the determined navigational action.

A method for performing an at least partially automatic vehicle function of a vehicle depending on a travel route to be assessed by means of a driver assistance system is disclosed. The method comprises providing a plurality of clusters from route data with respect to at least one known travel route, wherein the clusters group the route data sectionwise according to predefined geometric parameters. The method comprises providing recorded course data that indicate a course of the travel route to be assessed and applying the clusters to the course data in order to divide the travel route to be assessed into route sections corresponding to the clusters. The method comprises determining at least one uncertainty quantity which is characteristic of an uncertainty with respect to the assignment made and determining a control quantity as a function of the uncertainty quantity and providing the control quantity for performing the vehicle function.

A robotic cleaner may include a body, one or more driven wheels configured to urge the body across a surface to be cleaned, one or more distance sensors disposed at least partially within the body such that the one or more distance sensors face the surface to be cleaned and a processor. The one or more distance sensors may be configured to output a measure of a detection distance that extends in a direction of the surface to be cleaned. The processor may be configured to determine whether an abnormality has been detected based, at least in part, on the measure of the detection distance and may be configured to determine a first velocity estimate based, at least in part, on the detection of the abnormality.

Aspects of the disclosure provide a method of managing maneuvering of an autonomous vehicle in certain situations. For instance, a state of the autonomous vehicle may be identified, for example by one or more processors of a planning system of a vehicle, a state of the autonomous vehicle. Based on the state of the autonomous vehicle, the one or more processors of the forward planning system may determine whether the autonomous vehicle has become stuck. Based on the determination that the autonomous vehicle has become stuck, engaging a maneuver planning system having one or more processors capable of generating trajectories that allow the autonomous vehicle to maneuver in reverse may be engaged. After engaging the maneuver planning system, a new trajectory for the autonomous vehicle to follow may be generated. The autonomous vehicle may be controlled according to the new trajectory.

Systems for collision avoidance by an autonomous vehicle include a navigational controller adapted to (i) control a driving path of the autonomous vehicle, (ii) process sensor signals from a first sensor system, and (iii) determine whether an object is present in the driving path of the autonomous vehicle based on the sensor signals from the first sensor system. The systems can also include a processor, operationally independent from the navigational controller, adapted to (a) process sensor signals from a second sensor system and (b) determine whether an object is present in the driving path of the autonomous vehicle based on the sensor signals from the second sensor system.

A vehicle control interface includes a control unit configured to: connect between a vehicle platform including a first computer that performs travel control of a vehicle and an automated-driving platform including a second computer that performs automated-driving control of the vehicle and acquire a first control command containing an instruction for the vehicle platform from the second computer; convert the first control command to a second control command for the first computer; and send the second control command to the first computer. The control unit is configured to send, to the second computer, a specifiable range of a physical quantity that is specified by the second computer via the first control command.

An embodiment system for updating high-definition maps for autonomous driving includes a vehicle electronic device configured to transmit determination result data of whether there is consistency with a high-definition map or analysis result data of a difference from the high-definition map, with respect to positioning data for a current location provided from a plurality of sensors according to a presence or an absence of policy information for a driving section and a server configured to provide the policy information and high-definition map data for the driving section to the vehicle electronic device, to determine whether an update is required based on the data received from the vehicle electronic device, and to update the high-definition map data based on the received positioning data.

In one embodiment, a driving environment is perceived based on sensor data obtained from a variety of sensors, including determining a current speed of an ADV. In response to a request for driving with an idle speed, a speed guideline is generated based on an idle speed curve in view of the current speed of the ADV. A speed planning operation is performed by optimizing a cost function based on the speed guideline to determine the speeds of the trajectory points at different points in time along a trajectory planned to drive the ADV. One or more control commands are then generated to control the ADV with the planned speeds along the planned trajectory, such that the ADV moves according to an intended idle speed.