Vehicular Positioning Using mmWave TDOA with a Dynamically Tuned Covariance Matrix
Author:
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9681915/9681831/09682125.pdf?arnumber=9682125
Reference10 articles.
1. DeepRange: deep‐learning‐based object detection and ranging in autonomous driving
2. Stereo Visual Odometry Based on Motion Decoupling and Special Feature Screening for Navigation of Autonomous Vehicles
3. Fundamentals of 5G small cell deployments;levine;2020 IEEE Communications Society Training Course,2020
4. Prospective Positioning Architecture and Technologies in 5G Networks
5. Application of $W$ -Band FMCW Radar for Road Curvature Estimation in Poor Visibility Conditions
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1. Integrated 5G mmWave Positioning in Deep Urban Environments: Advantages and Challenges;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04
2. Positioning and Contour Extraction of Autonomous Vehicles Based on Enhanced DOA Estimation by Large-Scale Arrays;IEEE Internet of Things Journal;2023-07-01
3. Would Future mmWave Wireless Networks Be an Alternative Positioning Technique to GNSS-Based High Precision Positioning?;2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring);2022-06
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