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Network Latency in Teleoperation of Connected and Autonomous Vehicles: A Review of Trends, Challenges, and Mitigation Strategies.
Kamtam, Sidharth Bhanu; Lu, Qian; Bouali, Faouzi; Haas, Olivier C L; Birrell, Stewart.
Afiliación
  • Kamtam SB; Centre for Future Transport and Cities (CFTC), Coventry University, Coventry CV1 5FB, UK.
  • Lu Q; Centre for Future Transport and Cities (CFTC), Coventry University, Coventry CV1 5FB, UK.
  • Bouali F; Centre for Future Transport and Cities (CFTC), Coventry University, Coventry CV1 5FB, UK.
  • Haas OCL; Centre for Future Transport and Cities (CFTC), Coventry University, Coventry CV1 5FB, UK.
  • Birrell S; Centre for Future Transport and Cities (CFTC), Coventry University, Coventry CV1 5FB, UK.
Sensors (Basel) ; 24(12)2024 Jun 18.
Article en En | MEDLINE | ID: mdl-38931740
ABSTRACT
With remarkable advancements in the development of connected and autonomous vehicles (CAVs), the integration of teleoperation has become crucial for improving safety and operational efficiency. However, teleoperation faces substantial challenges, with network latency being a critical factor influencing its performance. This survey paper explores the impact of network latency along with state-of-the-art mitigation/compensation approaches. It examines cascading effects on teleoperation communication links (i.e., uplink and downlink) and how delays in data transmission affect the real-time perception and decision-making of operators. By elucidating the challenges and available mitigation strategies, the paper offers valuable insights for researchers, engineers, and practitioners working towards the seamless integration of teleoperation in the evolving landscape of CAVs.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Suiza