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Lane Detection Aided Online Dead Reckoning for GNSS Denied Environments.
Jeon, Jinhwan; Hwang, Yoonjin; Jeong, Yongseop; Park, Sangdon; Kweon, In So; Choi, Seibum B.
Afiliação
  • Jeon J; Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Korea.
  • Hwang Y; Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Korea.
  • Jeong Y; The Robotics Program, Korea Advanced Institute of Science and Technology, Daejeon 34141, Korea.
  • Park S; School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Korea.
  • Kweon IS; School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Korea.
  • Choi SB; Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Korea.
Sensors (Basel) ; 21(20)2021 Oct 13.
Article em En | MEDLINE | ID: mdl-34696018
ABSTRACT
With the emerging interest of autonomous vehicles (AV), the performance and reliability of the land vehicle navigation are also becoming important. Generally, the navigation system for passenger car has been heavily relied on the existing Global Navigation Satellite System (GNSS) in recent decades. However, there are many cases in real world driving where the satellite signals are challenged; for example, urban streets with buildings, tunnels, or even underpasses. In this paper, we propose a novel method for simultaneous vehicle dead reckoning, based on the lane detection model in GNSS-denied situations. The proposed method fuses the Inertial Navigation System (INS) with learning-based lane detection model to estimate the global position of vehicle, and effectively bounds the error drift compared to standalone INS. The integration of INS and lane model is accomplished by UKF to minimize linearization errors and computing time. The proposed method is evaluated through the real-vehicle experiments on highway driving, and the comparative discussions for other dead-reckoning algorithms with the same system configuration are presented.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Condução de Veículo / Sistemas de Informação Geográfica Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Condução de Veículo / Sistemas de Informação Geográfica Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2021 Tipo de documento: Article