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Enabling High-Precision 5G mmWave-Based Positioning for Autonomous Vehicles in Dense Urban Environments
To address this challenge, we exploit 5G multipath and LoS signals to improve positioning performance in dense urban environments.
Integrated 5G mmWave Positioning in Deep Urban Environments: Advantages and Challenges
Inspired by INS-GNSS integration literature, all methods defaulted to a tightly-coupled (TC) integration scheme, which hinders the potential of such an integration.
5G Multi-BS Positioning: A Decentralized Fusion Scheme
Such measurements have a non-linear relationship with the positioning states of the filter, giving rise to linearization errors.
A Step Closer Towards 5G mmWave-based Multipath Positioning in Dense Urban Environments
Yet, many multipath-based methods in the literature share a common assumption, which entails that multipath signals are caused by single-bounce reflections only, which is not usually the case.
iDriveSense: Dynamic Route Planning Involving Roads Quality Information
Consequently, road segments assessments are conducted using fuzzy system models based on aspects such as the number of anomalies and their severity levels in each road segment.
