A processor of a route provision apparatus according to an embodiment of the present invention is characterized in outputting map information received from a server, on a rollable display provided in a vehicle, determining a change in the size of a display area of the rollable display, and requesting the server for map information to be displayed on the changed display area, on the basis of the changed size of the display area, and receiving the map information.

A vehicular vision system includes a camera disposed at a vehicle, at least one non-vision sensor disposed at the vehicle, and a display system of the vehicle that displays video images for viewing by the driver of the vehicle. Image data captured by the camera and sensor data sensed by the non-vision sensor are provided to a control of the vehicle. Responsive at least in part to processing at the control of image data captured by the camera, video images are displayed by a video display screen of the display system. The vehicular vision system determines an augmented reality overlay and the video display screen also displays the augmented reality overlay. The displayed augmented reality overlay pertains to at least one accessory of the equipped vehicle and/or is responsive at least in part to a driving condition of the equipped vehicle.

Power conservation for devices is facilitated based on likelihood of power usage level. An example method can comprise determining, by a first device comprising a processor, that a second device is within a defined proximity of a third device, wherein the third device is determined to be operating in a mode according to a first power consumption operation that satisfies a defined condition, and wherein the operating in the mode according to the first power consumption operation is based on the third device being located at a defined location. The method can also comprise facilitating, by the first device, modification of the mode of the third device based on a determination of a likelihood of usage of a second power consumption operation by the third device. In various embodiments, the third device is configured to operate according to the power save mode or the extended discontinuous reception mode.

A system for usage guidance using wireless communication includes a portable computing device, wherein the portable computing device is designed and configured to wirelessly receive a signal from a wireless signal generator located at an item, parse the first signal for at least a textual element, extract a signal generator class identifier from at least a textual element, identify a remote data structure as a function of the signal generator identifier, retrieve, from the remote data structure, at least an identifier-specific datum, and generate identifier-specific usage guidance as a function of the at least an identifier-specific datum. The system includes a user output component coupled to the portable computing device, wherein the user output component is configured to provide the identifier-specific usage guidance to the user.

An automatic working system comprises a self-moving device moving and working in a working region, a handheld device and a control module. The handheld device is configured to move along a perimeter of the working region with a user and comprises a detecting module, detecting the perimeter information of the working region; and an input module, receiving a command of the user for detecting the perimeter information. The control module comprises a perimeter setting unit, generating virtual data of the perimeter, an area calculation unit calculating the area of the working region and a scheduling unit generating a working schedule. The self-moving device comprises a working module, a driving module and a controller. The controller controls the self-moving device to work according to the working schedule.

A computer-implemented method of refining a high definition (HD) map of a parking lot for autonomous vehicle parking (AVP) is disclosed. The method including: a vehicle navigating in the parking lot using the HD map; the vehicle using one or more sensors to scan for objects in the parking lot; the vehicle augmenting the HD map using a simultaneous localization & mapping SLAM method; adding objects detected by the one or more sensors to the HD map; and contributing towards improving a learning score of the HD map.

An example control system includes a memory and at least one processor to obtain image data from a given region and perform image analysis on the image data to detect a set of objects in the given region. For each object of the set, the example control system may classify each object as being one of multiple predefined classifications of object permanency, including (i) a fixed classification, (ii) a static and fixed classification, and/or (iii) a dynamic classification. The control system may generate at least a first layer of a occupancy map for the given region that depicts each detected object that is of the static and fixed classification and excluding each detected object that is either of the static and unfixed classification or of the dynamic classification.

An information processing apparatus includes: a point group data acquisition unit configured to acquire, based on information from a sensor configured to detect an object existing in surroundings of a vehicle, point group data related to a plurality of points representing the object; a movement amount estimation unit configured to estimate a movement amount of the vehicle; a storage unit configured to store, as a point group map recorded in association with position information including a latitude and a longitude, relative positions of the plurality of points relative to a first reference position that is a place on a travel path of the vehicle; and a position estimation unit configured to estimate a position of the vehicle based on the point group map, the point group data, and the movement amount.

A map management system stores map information used by an automated driving vehicle. The automated driving vehicle detects an obstacle based on the map information, or acquires a margin distance when stopping in front of an obstacle based on the map information. When requiring a remote operator's decision about an action with respect to the obstacle, the automated driving vehicle issues a support request that requests the remote operator to give support. The map management system acquires an operator instruction to the automated driving vehicle issued by the remote operator in response to the support request. The map management system estimates a type of the obstacle based on a state of acquisition of the operator instruction or a content of the operator instruction. Then, the map management system updates the map information according to the type of the obstacle.

A system for usage guidance using wireless communication includes a portable computing device, wherein the portable computing device is designed and configured to receive a signal from a first transmitter, parse the signal for at least a textual element, identify, in a first data structure, a first location and a second location of the signal, retrieve, from a second data structure, a usage data, and generate identifier-specific usage guidance as a function of the first location and the second location of the signal and the usage data. The system includes a user output component coupled to the portable computing device, wherein the user output component is configured to provide the identifier-specific usage guidance to a user.