Provided herein is a system and method of a vehicle. The system comprises one or more sensors, processors, maps, and a memory storing instructions that, when executed by the one or more processors, causes the system to perform: monitoring a location of the vehicle while driving; detecting a sign while the vehicle is driving; capturing, frame-by-frame, data of the sign until the sign disappears from a field of view of the sensor; synchronizing each frame of the data with the location of the vehicle; determining a location of the sign based on the frame-by-frame data; in response to determining, at a frame immediately before the sign disappears from the field of view of the sensor, that the vehicle is driving towards the sign, uploading the detected sign and the location of the sign onto the one or more maps; and implementing a driving action based on the sign.

Systems and methods for perceiving a field around a mobile device include a sensor system has a distance sensor arranged on a mobile device. The sensor system captures distance measurements of a field of view. The distance measurements are captured at a unique set of angular scan positions per revolution of the distance sensor over a sequence of scan rotations. A perception system generates a three-dimensional point cloud representation of the field of view based on the distance measurements for each scan rotation in the sequence of scan rotations. The perception system generates a composite three-dimensional depth map of the field of view by compiling each of the three-dimensional point cloud representations for the sequence of scan rotations. Each of the three-dimensional point cloud representations has a resolution that is lower than a resolution of the composite three-dimensional depth map of the field of view.

Systems and methods for perceiving a field around a mobile device include a sensor system has a distance sensor arranged on a mobile device. The sensor system captures distance measurements of a field of view. The distance measurements are captured at a unique set of angular scan positions per revolution of the distance sensor over a sequence of scan rotations. A perception system generates a three-dimensional point cloud representation of the field of view based on the distance measurements for each scan rotation in the sequence of scan rotations. The perception system generates a composite three-dimensional depth map of the field of view by compiling each of the three-dimensional point cloud representations for the sequence of scan rotations. Each of the three-dimensional point cloud representations has a resolution that is lower than a resolution of the composite three-dimensional depth map of the field of view.

A method is provided in which a device associated with a vehicle generates and transmits probe data samples comprising positional data. The method comprises obtaining detected event sequence data indicative of a sequence of detected events relating to the vehicle, obtaining search pattern data indicative of a search pattern of events and using the search pattern data and at least a portion of the detected event sequence data to determine whether a pattern of detected events matching the obtained search pattern of events is present in the at least a portion of the sequence of detected events. When a pattern of detected events matching the obtained search pattern of events is found in the at least a portion of the sequence of detected events, the device generates a probe data sample comprising data indicative of one or both of the search pattern and the matched pattern of events, and data indicative of a position of the device associated with the matched pattern of events. The device transmits the generated probe data sample.

The present subject matter relates to determine a snapping position in a road network for a destination object by using a cost matrix indicative of accumulative cost values of cells of the matrix. The accumulative cost value of a cell is indicating a cost to travel a path from the cell to a road segment of the road network.

The present subject matter relates to determine a snapping position in a road network for a destination object by using a cost matrix indicative of accumulative cost values of cells of the matrix. The accumulative cost value of a cell is indicating a cost to travel a path from the cell to a road segment of the road network.

A method, a device and a system for perceiving a multi-site roadbed network are provided. The method includes: constructing a global grid map of the roadbed network that is marked with a position of the system for perceiving at least two roadbed base stations and a perceived range of the system; receiving the detected target list transmitted by each of the systems for perceiving at least two roadbed base stations, where the detected target list is the set of the preset detected targets; according to the position of each system for perceiving the roadbed base station, indexing into the global grid map the detected target list transmitted by each system for perceiving the roadbed base station to generate a global tracking list; and tracking the preset detected target in the detected target list transmitted by the system for perceiving the roadbed base station according to the global tracking list.

A method, a device and a system for perceiving a multi-site roadbed network are provided. The method includes: constructing a global grid map of the roadbed network that is marked with a position of the system for perceiving at least two roadbed base stations and a perceived range of the system; receiving the detected target list transmitted by each of the systems for perceiving at least two roadbed base stations, where the detected target list is the set of the preset detected targets; according to the position of each system for perceiving the roadbed base station, indexing into the global grid map the detected target list transmitted by each system for perceiving the roadbed base station to generate a global tracking list; and tracking the preset detected target in the detected target list transmitted by the system for perceiving the roadbed base station according to the global tracking list.

An all-one-way network data for autonomous driving is generated according to traffic information of a road data included in a navigation map data. The lane network data for autonomous driving is generated based on the all-one-way network data according to information of a numerical number of lanes in the road data. A virtual lane boundary data is generated based on the all-one-way network data. A position of the lane network data and a position of the virtual lane boundary data are corrected according to a basic road map data and an aerial photograph data.

An all-one-way network data for autonomous driving is generated according to traffic information of a road data included in a navigation map data. The lane network data for autonomous driving is generated based on the all-one-way network data according to information of a numerical number of lanes in the road data. A virtual lane boundary data is generated based on the all-one-way network data. A position of the lane network data and a position of the virtual lane boundary data are corrected according to a basic road map data and an aerial photograph data.