A Performance Analysis of GNSS Positioning Data Used for ISA

摘要

The autonomous vehicle is a new model of artificial intelligence in the human-machine interaction field. An autonomous vehicle is a vehicle that operates and performs tasks under its own power. Some features of autonomous vehicles are sensing the environment, collecting information, and managing communications with other vehicles. Many autonomous vehicles in development use a combination of cameras, sensors, GPS, radar, and LiDAR with an on-board computer. These technologies work together to map the vehicle's position and its proximity to everything around it. The quality of raw GNSS observables is affected by a number of factors that can originate from satellites, signal propagation, receivers, and cyber attackers. This paper focuses on the evaluation of GNSS positioning data with applications to intelligent speed adaptation (ISA). Its contribution is to introduce a new methodology for increasing the accuracy and reliability of positioning information, which is based on a position error model.