According to one embodiment, a system receives a captured image perceiving an environment of an autonomous driving vehicle (ADV) from an image capturing device of the ADV capturing a plurality of obstacles near the ADV. The system generates a first tunnel based on a width of a road lane for the ADV, where the first tunnel represents a passable lane for the ADV to travel through. The system generates one or more additional tunnels based on locations of the obstacles, where the one or more additional tunnels modify a width of the passable lane according to a level of invasiveness of the obstacles. The system generates a trajectory of the ADV based on the first and the additional tunnels to control the ADV according to the trajectory to navigate around the obstacles without collision.

A set of input conditions is obtained. A plurality of potential decisions is obtained based at least in part on the set of input conditions. A rule-based system is used to process the plurality of potential decisions and obtain a set of one or more updated potential decisions, wherein: the rule-based system specifies a plurality of rules; a rule specifies a rule condition and a corresponding action, wherein when the rule condition is met, the corresponding action is to be performed; and using the rule-based system to process the plurality of potential decisions includes: for a selected potential decision in the plurality of potential decisions, determining whether the rule condition is met for a selected rule among the plurality of rules, wherein the selected rule condition is dependent on, at least in part, the selected potential decision; and in response to the selected rule condition being met, performing the corresponding action. The set of one or more updated potential decisions to be executed is output.

An automatic steering control device includes a forward recognition device, a traveling state detector, a lateral positional deviation calculator, a steering angle controller. The lateral positional deviation calculator calculates a first lateral positional deviation that is the lateral positional deviation ahead of the vehicle by a first distance, and a second lateral positional deviation that is the lateral positional deviation ahead of the vehicle by a second distance larger than the first distance. The steering angle controller performs first control on the steering angle so that an absolute value of the first lateral positional deviation decreases, and second control on the steering angle based on the second lateral positional deviation so that a difference between a change amount of the steering angle in the first control and a change amount of an actual steered angle that is a steered angle of wheels of the vehicle decreases.

When a marker on a road is detected, an automated driving apparatus mounted on a vehicle determines whether to perform automated driving based on comparison between a relative movement log from the marker as a start point according to autonomous navigation and shape point data concerning a lane acquired from the most recent map data.

Autonomously driven vehicles operate in rain, snow and other adverse weather conditions. An on-board vehicle sensor has a beam with a diameter that is only intermittently blocked by rain, snow, dust or other obscurant particles. This allows an obstacle detection processor is to tell the difference between obstacles, terrain variations and obscurant particles, thereby enabling the vehicle driving control unit to disregard the presence of obscurant particles along the route taken by the vehicle. The sensor may form part of a LADAR or RADAR system or a video camera. The obstacle detection processor may receive time-spaced frames divided into cells or pixels, whereby groups of connected cells or pixels and/or cells or pixels that persist over longer periods of time are interpreted to be obstacles or terrain variations. The system may further including an input for receiving weather-specific configuration parameters to adjust the operation of the obstacle detection processor.

An information processing device includes a controller. The controller is configured to generate, when information related to a request to use a cabin unit is acquired from a terminal of a first user who intends an activity in the cabin unit rather than traveling by the cabin unit, a command for causing a traveling unit to pick up the first user. The traveling unit is connected to and carrying a predetermined cabin unit associated with the activity of the first user. The controller is configured to generate, to the traveling unit connected to the predetermined cabin unit where a predetermined number of the first users or more is riding, a command for placing the predetermined cabin unit at a predetermined location.

A mobile object configured for movement in an area equipped with VLC illumination sources comprises a light sensor arranged to detect illumination from at least one of the illumination sources within the view of the light sensor; a computer arranged to determine from the detected illumination (i) a position of the mobile object relative to the at least one illumination source and (ii) the identifier of the at least one illumination source; and a transceiver. The transceiver can receive from another mobile object a message comprising the position of the other mobile object relative to a source of illumination, and the identifier of that source of illumination. From this, the computer determines from its position and the message a distance from the other mobile object. A mobile object which transmits such a message is also envisaged.

A lifting gantry device for containers, in particular of the straddle carrier or sprinter carrier type, having four gantry supports spaced apart from one another and which by wheels of the lifting gantry device is floor-based and freely movable. A vehicle controller is provided such that the lifting gantry device can be controlled automatically. A sensor system is also provided and configured to determine sensor data on the surroundings of the lifting gantry device for automatically controlling the lifting gantry device. The sensor system comprises at least two, preferably four, sensor units for contactless object measurement and in particular object recognition, of which one sensor unit each is arranged on one of the four gantry supports and is configured to determine sensor data on the surroundings of the lifting gantry device for object measurement and in particular object recognition.

A method of operating a user terminal includes receiving occupancy data for an operating environment responsive to navigation of the operating environment by a mobile robot, and displaying a visual representation of the operating environment based on the occupancy data. The method flintier includes receiving information identifying a plurality of electronic devices that are local to the operating environment and respective operating states thereof, and populating the visual representation of the operating environment with visual indications of respective spatial locations of the electronic devices in the operating environment and status indications of the respective operating states of the electronic devices. Related methods for controlling the electronic devices based on their respective spatial locations and the relative spatial context of the operating environment are also discussed.

Provided is a process that includes: obtaining a first version of a map of a workspace; selecting a first undiscovered area of the workspace; in response to selecting the first undiscovered area, causing the robot to move to a position and orientation to sense data in at least part of the first undiscovered area; and obtaining an updated version of the map mapping a larger area of the workspace than the first version.