박사

Robust Model Predictive Control based Automated Driving Control Algorithm for Improvement of Safety and Ride Comfort : 주행 안전 및 승차감 향상을 위한 강건 모델 예측 기법 기반 자율 주행 제어 알고리즘 개발

이준영 2015년
논문상세정보
' Robust Model Predictive Control based Automated Driving Control Algorithm for Improvement of Safety and Ride Comfort : 주행 안전 및 승차감 향상을 위한 강건 모델 예측 기법 기반 자율 주행 제어 알고리즘 개발' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • automated driving control algorithm
  • automated driving vehicle
  • integrated risk management
  • model predictive control
  • robust control
  • safe driving envelope
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
138 0

0.0%

' Robust Model Predictive Control based Automated Driving Control Algorithm for Improvement of Safety and Ride Comfort : 주행 안전 및 승차감 향상을 위한 강건 모델 예측 기법 기반 자율 주행 제어 알고리즘 개발' 의 참고문헌

  • [Yoon09] Y. Yoon, J. Shin, H. Kim, Y. Park, and S. Sastry, “Model-predictiveactive steering and obstacle avoidance for autonomous ground vehicles”,Control Engineering Practice, Vol. 17, No. 7, pp. 741-750, July 2009.
  • [Yi04] K. Yi, and I. Moon, “A driver-adaptive stop-and-go-cruise controlstrategy”, Networking, Sensing and Control, 2004 IEEE InternationalConference on, Vol. 1, pp. 601-606, Mar. 2004.
  • [Vanholme13] B. Vanholme, D. Gruyer, B. Lusetti, S. Glaser, and S. Mammar,“Highly automated driving on highways based on legal safety”, IEEETransactions on Intelligent Transportation System, Vol. 14, No. 1, pp. 333-347,Mar. 2013.
  • [Vahidi03] A. Vahidi, and A. Eskandarian, “Research Advances in IntelligentCollision Avoidance and Adaptive Cruise Control”, IEEE Transactions onIntelligent Transportation Systems, Vol. 4, No. 3, pp.143-153, 2003.
  • [Tideman07] M. Tideman, M. C. van der Voort, B. van Arem, and F. Tillema,118“A review of lateral driver support systems”, Intelligent TransportationSystems Conference, Seattle, USA, Sep. 30-Oct. 3, pp. 992-999, 2007.
  • [Talvala11] K. L. R. Talvala, K Kritayakirana, J. C. Gerdes, “Pushing thelimits: from lane keeping to autonomous racing”, Annual Reviews in Control,Vol 35, No. 1, pp. 137-148, Apr. 2011.
  • [Talvala08] K. L. R. Talvala, J. C. Gerdes, “Lanekeeping at the limits ofhandling: stability via lyapunov functions and a comparison with stabilitycontrol”, Proceedings of 2008 ASME Dynamics Systems and ControlConference, pp. 1-8, 2008.
  • [Scattolini09] R. Scattolini, “Architectures for distributed and hierarchicalModel Predictive Control ? A review”, Journal of Process Control, Vol. 19,No. 5, pp. 723-731, May 2009.
  • [Sattel08] T. Sattel, and T. Brandt, “From robotics to automotive: lanekeepingand collision avoidance based on elastic bands”, Vehicle SystemDynamics, Vol. 46, No. 7, pp. 597-619, July 2008.
  • [Rossetter06] E. J. Rossetter, and J. C. Gerdes, “Lyapunov based performanceguarantees for the potential field lane-keeping assistance system”, Journal ofDynamic Systems, Measurement, and Control, Vol. 128, No. 3, pp. 510-522,Aug. 2005.
  • [Rajamani06] Rajesh Rajamani, 2006, Vehicle Dynamics and Control, NewYork, Springer.
  • [Pohl07] J. Pohl, W. Birk, and L. Westervall, “A driver-distraction based lanekeeping assistance system”, Proceedings of the Institution of MechanicalEngineers. Part I:J.Systems and Control Engineering, Vol. 221, No. 4, pp.541-552, June 2007.
  • [Netto04] M. Netto, S. Chaib, and S. Mammar, “Lateral adaptive control forvehicle lane keeping”, Proceedings of American Control Conference, Vol. 3,pp. 2693-2698, 2004.
  • [Naranjo08] J. E. Naranjo, C. Gonzalez, R. Garcia, and T. Pedro, “Lanechangefuzzy control in autonomous vehicles for the overtaking maneuver”,IEEE Transactions on Intelligent Transportation System, Vol. 9, No. 3, pp.438-450, Sep. 2008.
  • [Moon10] S. Moon, H. Kang, and K. Yi, “Multi-vehicle target selection foradaptive cruise control”, Vehicle System Dynamics, Vol. 48, No. 11, pp. 1325-1343, Oct. 2010.
  • [Moon09] S. Moon, I. Moon, and K. Yi, “Design, tuning, and evaluation of afull-range adaptive cruise control system with collision avoidance”, ControlEngineering Practice, Vol. 17, No. 4, pp. 442-455, Apr. 2009.
  • [Moon08] S. Moon, and K. Yi, “Human driving data-based design of a vehicleadaptive cruise control algorithm”, Vehicle System Dynamics, Vol. 46, No. 8,pp. 661-690, June 2008.
  • [Minoiu10] N. Minoiu, S. Mammar, S. Glaser, and B. Lusetti, “Driverassistance system for lane departure avoidance by steering and differentialbraking”, in 6th IFAC Symposium Advances in Automotive Control, Munich,Germany, July. 12-14, pp. 471-476, 2010.
  • [Minoiu09] N. Minoiu, M. Netto, S. Mammar, and B. Lusetti, “Driver steeringassistance for lane departure avoidance”, Control Engineering Practice, Vol.17, No. 6, pp. 642-651, June 2009.
  • [Mayne05] D. Mayne, M. Seron, and S. Rakovic, “Robust Model PredictiveControl of Constrained Linear Systems with Bounded Disturbances”,116Automatica, Vol. 41, No. 2, pp. 219-224, 2005.
  • [Mayne00] D. Mayne, J. Rawlings, C. Rao, and P. Scokaert, “Constrainedmodel predictive control: stability and optimality”, Automatica, Vol. 36, No. 6,pp. 789-814, June 2000.
  • [Mattingley12] J. Mattingley, and S. Boyd, “CVXGEN: a code generator forembedded convex optimization”, Optimization and Engineering, Vol. 13, No.1, pp. 1-27, Mar. 2012.
  • [Limon08] D. Limon, I. Alvarado, T. Alamo, and E. Camacho, “On the designof Robust tube-based MPC for tracking”, In Proceeding of the 17th IFACWorld Congress, pp. 15333-15338, 2008.
  • [Lee14] J. Lee, J. Choi, K. Yi, M. Shin, and B. Ko, “Lane-keeping assistancecontrol algorithm using differential braking to prevent unintended lanedepartures”, Control Engineering Practice Vol. 23, pp. 1-13, Feb. 2014.
  • [Lee11] T. Lee, K. Yi, and C. Jeong, “Integrated stochastic driver model forevaluation of the vehicle active safety systems”, Fast-zero 2011, Tokyo, Japan,2011.
  • [Kothare96] M. V. Kothare, V. Balakrishnan, and M. Morari, “RobustConstrained Model Predictive Control using Linear Matrix Inequalities”,Automatica, Vol. 32, No. 10, pp. 1361-1379, 1996.
  • [Kim14] B. Kim, and K. Yi, “Probabilistic and Holistic Prediction of VehicleStates Using Sensor Fusion for Application to Integrated Vehicle SafetySystems”, IEEE Transactions on Intelligent Transportation Systems, Vol. 15,No. 5, pp. 2178-2190, 2014.
  • [Kim13] B. Kim and K. Yi, “Probabilistic states prediction algorithm usingmulti-sensor fusion and application to Smart Cruise Control systems”, IEEEIntelligent Vehicles Symposium, Gold Coast, Australia, pp. 888-895, June2013.
  • [Huang00] S. Huang, W. Ren, and S. C. Chan, “Design and performanceevaluation of mixed manual and automated control traffic”, IEEETransactions on Systems, Man, and Cybernetics ? Part A: Systems andHumans, Vol. 30, No. 6, pp. 661-673, Nov. 2000.
  • [Hayakawa11] Y. Hayakawa, K. Sato, and M. Kobayashi, “Development ofblind spot assistance system based on lane-marker detection and blind spotvehicle detection”, Fast-zero 2011, Tokyo, Japan
  • [Gray13] A. Gray, Y. Gao, J. Hedrick, and F. Borrelli, “Robust predictivecontrol for semi-autonomous vehicles with an uncertain driver model”,IEEE Intelligent Vehicles Symposium, Gold Coast, Australia, pp. 208-213,2013.
  • [Gray12] A. Gray, M. Ali, Y. Gao, J. Hedrick, and F. Borrelli, “Semiautonomousvehicle control for road departure and obstacle avoidance”, IFACControl of Transportation Systems, 2012.
  • [Gao14] Y. Gao, A. Gray, H. Tseng, and F. Borrelli, “A tube-based robustnonlinear predictive control approach to semiautonomous ground vehicles”,Vehicle System Dynamics, vol. 52, no. 6, pp. 802-823, 2014.
  • [Ferguson13] D. Ferguson, and D. Dolgove, “Modifying behavior ofautonomous vehicle based on predicted behavior of other vehicles”, Pat. no.20130261872A1, United States, 2013.
  • [Falcone08] P. Falcone, F. Borrelli, H. E. Tseng, J. Asgari, and D. Hrovat,“Linear time-varying model predictive control and its application to activesteering systems: Stability analysis and experiment validation”, InternationalJournal of Robust and Nonlinear Control, Vol. 18, No. 8, pp. 862-875, May2008.
  • [Falcone07b] P. Falcone, M. Tufo, F. Borrelli, J. Asgari, and H. E. Tseng, “Alinear time varying model predictive control approach to the integratedvehicle dynamics control problem in autonomous system”, Proceedings of the46th IEEE Conference on Decision and Control, New Orleans, USA, pp.2980-2985, 2007.
  • [Falcone07a] P. Falcone, F. Borrelli, J. Asgari, H. E. Tseng, and D. Hrovat,“Predictive active steering control for autonomous vehicle systems”, IEEETransactions on Control System Technology, Vol. 15, No. 3, pp. 566-580, May2007.
  • [Eskandarian12] A. Eskandarian, 2012, Handbook of Intelligent Vehicles,London: Springer London
  • [Erlien14] S. Erlien, J. Funke, and J. C. Gerdes, “Incorporating non-linear tiredynamics into a convex approach to shared steering control”, AmericanControl Conference, Portland Oregon, USA, pp. 3468-3473, 2014.
  • [Erlien13] S. Erlien, S. Fujita, and J. C. Gerdes, “Safe driving envelopes forshared control of ground vehicles”, in 7th IFAC Symposium Advances inAutomotive Control, Tokyo, Japan, 2013.
  • [Eidehall05] A. Eidehall, J. Pohl, and F. Gustafsson, “A new approach to laneguidance systems”, Intelligent Transportation Systems Conference, Vienna,Austria, pp. 108-112, 2005.
  • [Chaib04] S. Chaib, M. Netto, and S. Mammar, “H∞, Adaptive, PID and fuzzycontrol: a comparison of controllers for vehicle lane keeping”, Proceeding of113IEEE Intelligent Vehicle Symposium, pp. 139-144, 2004.
  • [Carvalho13] A. Carvalho, Y. Gao, A. Gray, H. E. Tseng, F. Borrelli,“Predictive control of an autonomous ground vehicle using a iterativelinearization approach”, Proceedings of the 16th International IEEE AnnualConference on Intelligent Transportation Systems (ITSC2013), Hague,Netherlands, Oct. 6-9, 2013.
  • [Boyd94] S. Boyd, L. E. Ghaoui, E. Feron, and V. Balakrishnan, “LinearMatrix Inequalities in System and Control Theory”, Vol. 15 of Studies inApplied Mathematics, 1994.
  • [Borrelli05] F. Borrelli, P. Falcone, T. Keviczky, J. Asgari, and D. Hrovat,“MPC-based approach to active steering for autonomous vehicle systems”,International Journal of Vehicle Autonomous Systems, Vol. 3, No.2, pp. 265-291, Apr. 2005.
  • [Bishop00] R. Bishop, “A survey of intelligent vehicle applicationsworldwide”, IEEE Intelligent Vehicles Symposium, Dearborn Michigan, USA,pp. 25-30, 2000.
  • [Balandat10] M. Balandat, “Constrained robust optimal trajectory tracking:Model predictive control approaches”, Master’s thesis, Technische UniversitatDarmstadt, 2010.
  • [Anderson10] S. J. Anderson, S. C. Perters, T. E. Pilluti, K. Iagnemma, “Anoptimal control based framework for trajectory planning, threat assessment,and semi-autonomous control of passenger vehicles in hazard avoidancescenarios”, International Journal of Vehicle Autonomous Systems, Vol. 8, No.2, pp. 190-216, Apr. 2010.
  • [Althoff09] M. Althoff, O. Stursberg, and M. Buss, “Model-basedprobabilistic collision detection in autonomous driving”, IEEE Transactionson Intelligent Transportation System, Vol. 10, No. 2, pp. 299-310, June 2009.