A method, apparatus, and computer program product are provided for identifying the reliability of objects within a mapped region for localization and facilitating autonomous control of a vehicle. Methods may include: receiving an indication of an event having event data; assigning at least one object at a location of the event an impact score based on an estimated impact of the event; and providing an indication of a reduction in autonomous vehicle capability in response to the impact score failing to satisfy a predetermined value. The impact score may include a probability that the corresponding object is reliable for localization or autonomous vehicle control. Methods may include providing the indication of a reduction in autonomous vehicle capability to at least one device associated with a vehicle in response to the at least one device associated with the vehicle having a travel path including the at least one road link.

Disclosed herein is a technique for generating and providing an indication to an autonomous vehicle regarding the confidence level for the accuracy or quality of the map data in which the indication is determined from observation data received from other vehicles.

A method and an apparatus for generating a route planning model and a storage medium are provided. The method for generating a route planning model includes: obtaining a target route data set associated with a target site; and determining a target route planning model of the target site with a site optimization object corresponding to the target site, based on the target route data set and a first route planning model; wherein the first route planning model is determined based on a set of historical route data through at least a first training, the set of historical route data being associated with a plurality of sites different from the target site and a first training optimization object for the first training corresponding to the plurality of sites.

A surveillance robot is adapted with a light-weight body formed with light-weight foam, wheel motors arranged within the light-weight foam and connected to wheels extending out from the body and drivable by the wheel motors, a sensor system at least partially arranged within the light-weight foam for picking up any of image, audio and environmental data, an electronic controller arranged within the light-weight foam, connected to the sensor system and wheel motors, and including a memory and a set of computer instructions that provide for surveillance robot operation, and a transceiver section connected to the electronic controller and including an antenna for transmitting and receiving commands, the image data, the audio data and/or the environmental data to or from the electronic controller. The light-weight foam substantially surrounds, supports and protects the wheel motors, sensor system, electronic controller and transceiver from mechanical shock as the robot traverses obstacles.

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.

At least one computer-readable medium on which are stored instructions that, when executed by one or more processing devices, enable the one or more processing devices to perform a method. The method includes the steps of receiving over a network a data set corresponding to a passenger seeking transportation to a destination, the data set including an address of origin of the passenger, accessing a first database that includes a first set of geocodes that correspond to addresses within a particular geographic region of interest, the region of interest including the passenger address of origin, determining if there is a geocode in the first database that corresponds to the passenger address of origin, if there is not a geocode in the database that corresponds to the passenger address of origin, automatically creating a geocode that corresponds to the passenger address of origin, and providing the created geocode to a route management system.

While a vehicle is in an area, a stored map uncertainty value of map data for the area is retrieved. The stored map uncertainty value gives a range of uncertainty for at least one indicator of a travel path specified by the map data. Upon estimating the travel path and a vehicle pose, a dynamic map uncertainty value is determined based on a pose uncertainty value and a travel path uncertainty value. The pose uncertainty value gives a range of uncertainty for the vehicle pose in three degrees-of-freedom based on vehicle sensor data, and the travel path uncertainty value gives a range of uncertainty for the at least one indicator of the estimated travel path based on vehicle sensor data. Upon determining that the dynamic map uncertainty value is less than the stored map uncertainty value, the map data is updated based on the vehicle sensor data. Upon updating the map data, the vehicle is operated based on the updated map data.

The present invention relates to a road vehicle localisation method based on magnetic landmarks. Said method is comprised by an offline phase and by an online phase. The offline phase is responsible for creating a reference landmark database comprised by a plurality of magnetic landmarks, wherein each magnetic landmark is associated to a path location data. The online phase is projected to match a current anomaly detected with a reference anomaly of the reference landmark database, in order to estimate the location of a vehicle based on the path location data of the correspondent reference landmark.

It is also described a system comprised by a sensor unit, a storage unit and by a processing unit, which is specifically programmed to operate according the road vehicle localisation method developed.

A system and method for environmental parameter mapping. A method includes adding at least one entry to a mapping data structure, wherein each entry includes a position of a robotic device and at least one corresponding environmental parameter for the respective position of the robotic device, wherein each environmental parameter of each entry indicates an attribute of an environment at the corresponding position and is based on at least one sensor signal captured at the corresponding position; and sending at least one command to the robotic device, wherein the at least one command is determined based on the mapping data structure and includes at least one command to navigate.

Systems and methods are provided for obtaining characterizations of paths to be traversed, such as foot paths. A scanning tool may be configured to capture information or data characterizing aspects of such a path. The scanning tool may comprise multiple sensors for capturing image/visual data from multiple perspectives, as well as for capturing data reflecting physical features or conditions of the path. Such information can be combined and quantified or otherwise characterized to provide insight into micromobility zones.