Search Results - "Jing, Junbo"

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  1. 1

    Driving Intention Recognition and Lane Change Prediction on the Highway by Han, Teawon, Jing, Junbo, Ozguner, Umit

    “…This paper proposes a framework to recognize driving intentions and to predict driving behaviors of lane changing on the highway by using externally sensable…”
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    Conference Proceeding
  2. 2

    Design of a fuel economy oriented vehicle longitudinal speed controller with optimal gear sequence by Junbo Jing, Ozatay, Engin, Kurt, Arda, Michelini, John, Filev, Dimitar, Ozguner, Umit

    “…In this paper, a vehicle speed controller aiming at minimizing fuel consumption in car-following scenarios is developed. The optimal longitudinal control of…”
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    Conference Proceeding
  3. 3

    Vehicle Predictive Fuel-Optimal Control for Real-World Systems by Jing, Junbo

    Published 01-01-2018
    “…In response of the world's increasing concern on carbon emissions, vehicle real-world fuel economy potential is being further developed by autonomy and…”
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    Dissertation
  4. 4

    Framework and experiment for a constraints-defined longitudinal dynamics control for autonomous driving in traffic by Huang, Chunan, Jing, Junbo, Kolaric, Patrik, Liu, Jingxuan, Qu, Shen, Zhao, Yufei, Wang, Lei

    “…This paper presents a practical constraint-defined control framework for longitudinal dynamics controllers for autonomous vehicles. The proposed framework aims…”
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    Conference Proceeding
  5. 5

    A Practical MPC Method for Autonomous Driving Longitudinal Dynamic Control's Real-World Challenges by Jing, Junbo, Liu, Jingxuan, Huang, Chunan, Kolaric, Patrik, Qu, Shen, Wang, Lei

    “…Autonomous driving's Planning-and-Control (PnC) integration demands alignment in vehicle motion feasibility and motion error predictability, which requires the…”
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    Conference Proceeding
  6. 6

    Gaussian Process Model of Uncertainty in Safety-Critical Autonomous Driving by Kolaric, Patrik, Jing, Junbo, Huang, Chunan, Qu, Shen, Liu, Jingxuan, Zhao, Yufei, Wang, Lei

    “…In conventional autonomous driving system architecture, the planner assumes perfect execution from trajectory tracking module when generating trajectory…”
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    Conference Proceeding
  7. 7

    Vehicle speed prediction using a cooperative method of fuzzy Markov model and auto-regressive model by Jing, Junbo, Filev, Dimitar, Kurt, Arda, Ozatay, Engin, Michelini, John, Ozguner, Umit

    “…Vehicle speed prediction can benefit a wide range of vehicle control designs, especially for fuel economy applications. This paper shows a computationally…”
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    Conference Proceeding
  8. 8

    Driving Intention Recognition and Lane Change Prediction on the Highway by Han, Teawon, Jing, Junbo, Ozguner, Umit

    Published 28-08-2019
    “…This paper proposes a framework to recognize driving intentions and to predict driving behaviors of lane changing on the highway by using externally sensable…”
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    Journal Article
  9. 9

    Vehicle Speed Prediction in a Convoy Using V2V Communication by Jing, Junbo, Kurt, Arda, Ozatay, Engin, Michelini, John, Filev, Dimitar, Ozguner, Umit

    “…This paper proposes a speed prediction scheme for multi-vehicle car-following scenarios, which involves vehicle intelligence, human drivers, and vehicle…”
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    Conference Proceeding Journal Article
  10. 10

    Constrained Backward Path Tracking Control using a Plug-in Jackknife Prevention System for Autonomous Tractor-Trailers by Hejase, Mohammad, Jing, Junbo, Maroli, John M., Bin Salamah, Yasser, Fiorentini, Lisa, Ozguner, Umit

    “…Jackknifing during tractor-trailer reverse driving presents a major challenge in control system design. In this paper, maneuverability conditions were…”
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    Conference Proceeding
  11. 11

    Control Method Designs and Comparisons for Tractor-Trailer Vehicle Backward Path Tracking by Jing, Junbo, Maroli, John M., Salamah, Yasser Bin, Hejase, Mohammad, Fiorentini, Lisa, Ozguner, Umit

    Published in 2019 American Control Conference (ACC) (01-07-2019)
    “…Tractor-trailer path tracking in backward motion is a challenging nonlinear control problem in automated vehicle development. The control challenges arise from…”
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    Conference Proceeding