摘要:
The invention, in some embodiments, relates to the field of global navigation satellite systems, and more particularly to the field of methods and devices for improving accuracy of position determination by receivers of global navigation satellite systems. Some embodiments of the invention relate to methods for generating a three-dimensional (3-D) representation of an urban area by a receiver of a global navigation satellite system using blocked lines of sight to satellites of the system. Additional embodiments of the invention relate to methods for transmitting a three-dimensional (3-D) representation of an urban area by a receiver of a global navigation satellite system for improving calculation of location by the global navigation satellite system receiver.
摘要:
In a positioning method and a terminal according to the present disclosure, a processor positions a location of the terminal through interferometric positioning using a plurality of positioning signals received from a plurality of satellites. The processor calculates an integer bias for the plurality of positioning signals, selects a group of location candidates based on a float solution acquired through the calculation of the integer bias, and notifies that the terminal is located at a predetermined point on a map under a condition in which the group of location candidates is included in a line-shaped area.
摘要:
The disclosure relates to the field of autonomous driving technologies, and provides a positioning method for an autonomous vehicle, a control apparatus, a readable storage medium, and a vehicle, which are intended to solve the problem of how to effectively improve the safety of autonomous driving and usage experience of users. In the method, a Kalman filter algorithm is applied to perform real-time estimations on deviation data between a map matching result and a real-time dynamic differential positioning result of an autonomous vehicle, so that the map matching result or the real-time dynamic differential positioning result can be compensated based on real-time estimated deviation data during real-time positioning of the autonomous vehicle. Therefore, when one of the map matching result or the real-time dynamic differential positioning result is missing, the missing data is obtained based on the other positioning result, which ensures a global positioning capability of the autonomous vehicle, and enables autonomous driving functions to be enabled on the autonomous vehicle in more scenarios, thereby effectively improving usage experience of users.