The present disclosure provides a method for optimizing map data, a device and a storage medium, and in particular relates to artificial intelligence, intelligent transportation, smart cities and smart cockpits. A specific implementation is: performing a completeness detection of a lane line on received local map data comprising road condition information to obtain a detection result, the detection result comprising the lane line being complete or is the lane line having a missing area; in a case where the detection result is the lane line having the missing area, performing completion processing on the lane line having the missing area to obtain completed local map data; and performing a rationality detection on the completed local map data, and in a case of passing the detection, synthesizing the completed local map data with global map data to obtain an optimization result of map data.

The described technology is generally directed towards digital map truth maintenance. Map inputs shared among multiple users of a shared overlay map service can have a range of credibility, from not credible to highly credible. The disclosed digital map truth maintenance technologies can be used to enhance credibility of shared map inputs. Credibility values can be calculated for map inputs, based on any of multiple factors. Map inputs having sufficiently high credibility, such as a credibility value determined to be above a threshold value, can be shared among multiple mobile devices.

A data processing method includes initiating, to a cloud server, a first message used to access a roadside device or used to obtain signal transmit power-related information of static roadside equipment, receiving a second message fed back by the cloud server, where the second message is determined by the cloud server based on the first message and a prestored high-definition map, and the second message includes related information about accessing the roadside device by the vehicle-end device, or the signal transmit power-related information of the static roadside equipment, and accessing the roadside device based on the second message or determining a signal transmit power of the vehicle-end device based on the second message.

Systems and methods for scheduling environment perception-based data offloading for numerous connected vehicles are disclosed. In one embodiment, a method for offloading data includes capturing an image of a view of interest from a vehicle, segmenting the image into a plurality of blocks, and determining a scheduling priority for each of one or more blocks among the plurality of blocks based on block values, wherein the block values relate to one or more objects of interest contained in each of the one or more blocks. The method further includes offloading, from the vehicle to a server, one or more blocks based on the scheduling priority of the one or more blocks.

A reward system and method collects feedback based on driving records and road conditions. A camera disposed on a vehicle can generate traffic-condition data, and the neural network based artificial intelligence is used to identify a traffic flow and a road-sign area in the traffic-condition data. When the road-sign area is identified, the optical character recognition is performed on the road-sign area to generate a geographic location information. The user information, the traffic flow and the geographic location information are embedded into the corresponding traffic-condition data. The traffic-condition data is transmitted to a map-data host for classification and storage. When the geographic location information of the traffic-condition data matches with road congestion location information and a clarity of the traffic-condition data is greater than a preset threshold, a contribution reward is calculated to improve timeliness of updating the traffic-condition data and the user's incentive for providing the traffic-condition data.

A computer-implemented method for providing a digital road map for testing an at least partially automated vehicle system. the method includes: accessing a database in which are stored permissible characteristics of the road properties for a multitude of road properties; creating at least one road map section by one of the possible characteristics being selected for the road map section for the first of the multitude of road properties, in each particular case in automated fashion from the database; providing the digital road map, the digital road map including the at least one road map section.

An apparatus for collecting map-generating data includes a processor configured to count, for each of road sections, the number of pieces of map-generating data received in a first period from one of at least one vehicle, identify one of the road sections for which the number of pieces of map-generating data received in the first period does not reach a target number for the one of the road sections, and predict, for the identified road section, the number of pieces of map-generating data to be received in a second period ahead after the first period, based on history of traffic volume under each environmental condition or history of the number of pieces of map-generating data previously received for the road section.

Embodiments of the present disclosure provide a map updating method and apparatus, a device, a server, and a storage medium, which relate to the field of artificial intelligence, and in particular, to the field of autonomous parking. The specific implementation solution is: an intelligent vehicle obtains driving data collected by a vehicle sensor of its own vehicle on a target road section, where the driving data at least includes first video data related to an environment of the target road section, and determines at least one image feature corresponding to each first image frame in the first video data, where the image feature at least includes an image local feature related to the environment of the target road section, and then updates map data corresponding to the target road section according to the at least one image feature corresponding to each first image frame in the first video data.

An embodiment of the invention may include a method, computer program product and system for digital indoor navigation. An embodiment may include creating navigational directions corresponding to a navigation path on a digital indoor mapping image. The navigational directions comprise prompts for user action and contextual information of at least one determined area type for at least one distinct area depicted within the digital indoor mapping image through which the navigation path traverses. An area type determination for a distinct area is based on an identified color used as a fill for the distinct area. An embodiment may include presenting the created navigational directions along with the navigation path.

Systems including one or more sensors, coupled to a vehicle, may detect sensor information and provide the sensor information to another computing device for processing. A system includes one or more sensors, coupled to a vehicle and configured to detect sensor information, and a computing device configured to communicate with one or more mobile sensors to receive the mobile sensor information, communicate with the one or more sensors to receive the sensor information, and analyze the sensor information and the mobile sensor information to identify one or more risk factors.