A device for searching a parking space includes at least one space detection sensor mounted on a vehicle, and a controller that analyzes sensed information obtained through the space detection sensor to recognize space and object information within a parking lot, predicts a distribution of available parking spaces in the parking lot based on the recognized space and object information, and determines an optimal available parking space based on the distribution of the available parking spaces and characteristics of a driver.

A system and method of operation of a computing system comprising: receiving a current location; determining a travel path based on the current location; determining a directionality along the travel path while in a free drive navigation mode; predicting a connectivity area based on the directionality; generating map information for a connectivity segment in the connectivity area with a low connectivity; and communicating the map information for storing onto a device for displaying when the connectivity segment is at a surrounding geographic adjacent area relative to the current location and while in the free drive navigation mode.

A system and method for generating shard data based on semantic sharding is proposed. Shard data is generated by a map sharder that is configured to generate the shard data based on semantic objects in a geographical area and a definition of sections. The sections cover parts of the geographical area. The map sharder searches, for each of the sections, for semantic objects that are located at least partly in a section and stores found objects in a shard data entry of the shard data.

Systems and methods of processing crowdsourced navigation information for use in autonomous vehicle navigation are disclosed. A method may include processing, by a mapping server, crowdsourced navigation information from a plurality of vehicles obtained by sensors coupled to the plurality of vehicles, wherein the navigation information describes road lanes of a road segment; collecting data about landmarks identified proximate to the road segment, the landmarking including a traffic sign; generating, by the mapping server, an autonomous vehicle map for the road segment, wherein the autonomous vehicle map includes a spline corresponding to a lane in the road segment and the landmarks identified proximate to the road segment; and distributing, by the mapping server, the autonomous vehicle map to an autonomous vehicle for use in autonomous navigation over the road segment.

The present disclosure provides methods and apparatuses of a highly sensitive and reliable IoT location tracking device in a form factor of a vehicle taillight. The tracking device replaces the existing taillight and comprises custom-designed GPS and Cellular antennae that are specially integrated with a novel dual-PCBA structure and an anti-theft tactile switch detection mechanism. The purposes of the new methods and apparatuses are to achieve the following: (1) improved reliability of signal reception and transmission with taillight integration; (2) improved electronic shielding of the processor board and PCB (printed circuit board) assembly; (3) high sensitivity of the new GPS and cellular antennae geometry and dimension design; (4) novel anti-theft security and better vehicle tracking management.

A map update data processing apparatus and method are provided. The method includes: obtaining first information from at least one vehicle terminal in a time window; determining, based on the first information and second information in a map, first change information of the second information and precision information and/or confidence information of the first change information, wherein the first change information indicates a difference between the first information and the second information; and finally, sending the first change information of the second information and the precision information and/or the confidence information to a first vehicle terminal.

An electronic control device is mounted on a vehicle and executes automatic driving control using a plurality of pieces of map information. Each piece of the map information includes one or more pieces of partial data corresponding to a predetermined geographical area and being information of a predetermined attribute related to a road of the predetermined geographical area. The electronic control device includes a storage unit that stores one or more pieces of the map information, a specification unit that specifies the map information corresponding to a traveling position of the vehicle, and a control unit that determines a control method of the vehicle at a traveling position of the vehicle according to the partial data included in the map information specified by the specification unit.

The invention relates to a vehicle positioning method and system for a fixed parking scenario. The method includes: a map obtaining step of obtaining, by a vehicle, a parking scenario map from a cloud according to a preset trigger condition; a first positioning step of obtaining first geographical position information of the vehicle based on a first marker in a fixed parking scenario, and matching the first geographic position information with the parking scenario map, so as to obtain a first vehicle pose of the vehicle in the parking scenario map; and a second positioning step of obtaining second geographical position information of the vehicle based on a second marker in the fixed parking scenario, and matching the second geographical position information with the parking scenario map, so as to obtain a second vehicle pose of the vehicle in the parking scenario map. According to the invention, planar and spatial positioning of the vehicle can be implemented, and accurate positioning and accurate navigation in a fixed parking scenario can be implemented.

A system and a method of generating a map for navigating a vehicle. The system includes a remote processor. The remote processor is configured to determine an anchor point for a location of a road segment based on data from at least one data source, place the anchor point within an aerial image of the road segment, predict a boundary marking of the road segment on the aerial image based on the anchor point, and provide the boundary marking to the vehicle. A vehicle processor navigates the vehicle along the road segment using the boundary marking.

A system for navigating a host vehicle may include memory and at least one processor configured to receive a plurality of images acquired by a camera onboard the host vehicle; generate, based on analysis of the plurality of images, a road geometry model for a segment of road forward of the host vehicle; determine, based on analysis of at least one of the plurality of images, one or more indicators of an orientation of the host vehicle; and generate, based on the one or more indicators of orientation of the host vehicle and the road geometry model for the segment of road forward of the host vehicle, one or more output signals configured to cause a change in a pointing direction of a movable headlight onboard the host vehicle.