Tele-driving including time-varying delay based on MPC with stability constraints

Nagakura, Hiroki; Hatori, Yuhei; Uchimura, Yutaka

doi:10.1109/iecon48115.2021.9589762

Cited by 2 publications

(2 citation statements)

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“…[70] use a random time delay based on a Gaussian distribution in the range [0.1, 1] s. Hatori and Uchimura [71] and Nagakura et al [72] vary the delay between 3.5 and 4.0 s and 3.0 and 4.0 s. Other studies that implemented time-varying delays include [73][74][75][76][77][78][79][80][81][82][83][84].…”

Section: Modelling Network Delaymentioning

confidence: 99%

“…Likewise, Zhou et al [ 69 ] model delays as a sine wave distribution. Bacha et al [ 70 ] use a random time delay based on a Gaussian distribution in the range [0.1, 1] s. Hatori and Uchimura [ 71 ] and Nagakura et al [ 72 ] vary the delay between 3.5 and 4.0 s and 3.0 and 4.0 s. Other studies that implemented time-varying delays include [ 73 , 74 , 75 , 76 , 77 , 78 , 79 , 80 , 81 , 82 , 83 , 84 ].…”

Section: Impact Of Network Latency On Teleoperationmentioning

confidence: 99%

See 1 more Smart Citation

Network Latency in Teleoperation of Connected and Autonomous Vehicles: A Review of Trends, Challenges, and Mitigation Strategies

Kamtam,

Lu,

Bouali

et al. 2024

Sensors

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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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