연구동향 분석
박사

Automated Driving System with Guaranteed Safety based on Generic Environment Representation and Model Predictive Control

김범준 2016년

논문상세정보
인용/피인용
' Automated Driving System with Guaranteed Safety based on Generic Environment Representation and Model Predictive Control' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • 응용 물리
  • Generic Environment representation
  • automated driving control algorithm
  • automated driving vehicle
  • model predictive control
  • safe driving envelope decision
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
888 0

0.0%

' Automated Driving System with Guaranteed Safety based on Generic Environment Representation and Model Predictive Control' 의 참고문헌

  • ZHANG, Y. & BAR-SHALOM, Y. 2011. Tracking move-stop-move targets with statedependent mode transition probabilities. Aerospace and Electronic Systems, IEEE Transactions on, 47, 2037-2054.
  • YUAN, T., BAR-SHALOM, Y., WILLETT, P., MOZESON, E., POLLAK, S. & HARDIMAN, D. 2012. A multiple IMM estimation approach with unbiased mixing for thrusting projectiles. Aerospace and Electronic Systems, IEEE Transactions on, 48, 3250-3267.
  • VANHOLME, B., GRUYER, D., LUSETTI, B., GLASER, S. & MAMMAR, S. 2013. Highly automated driving on highways based on legal safety. Intelligent Transportation Systems, IEEE Transactions on, 14, 333-347.
  • TINGVALL, C. & HAWORTH, N. Vision Zero: an ethical approach to safety and mobility. 6th ITE International Conference Road Safety & Traffic Enforcement: Beyond, 2000.
  • TIDEMAN, M., VAN DER VOORT, M., VAN AREM, B. & TILLEMA, F. A review of lateral driver support systems. Intelligent Transportation Systems Conference, 2007. ITSC 2007. IEEE, 2007. IEEE, 992-999.
  • TALVALA, K. L., KRITAYAKIRANA, K. & GERDES, J. C. 2011. Pushing the limits: From lanekeeping to autonomous racing. Annual Reviews in Control, 35, 137- 148.
  • SWARTZ, D. Clothoid road geometry unsuitable for sensor fusion. IEEE Intelligent Vehicles Symposium, 2003. 484-488.
  • SKOLNIK, M. I. 2001. Radar Systems. McGraw-Hill, NY.
  • SATTEL, T. & BRANDT, T. 2008. From robotics to automotive: Lane-keeping and collision avoidance based on elastic bands. Vehicle System Dynamics, 46, 597-619.
  • ROSSETTER, E. J. & GERDES, J. C. 2006. Lyapunov based performance guarantees for the potential field lane-keeping assistance system. Journal of dynamic systems, measurement, and control, 128, 510-522.
  • RE, K. 1960. A New Approach to Linear Filtering and Prediction. Transection of the ASME-Journal of Basic Engineering, 35-45.
  • POLYCHRONOPOULOS, A., TSOGAS, M., AMDITIS, A. J. & ANDREONE, L. 2007. Sensor fusion for predicting vehicles' path for collision avoidance systems. Intelligent Transportation Systems, IEEE Transactions on, 8, 549-562.
  • POHL, J., BIRK, W. & WESTERVALL, L. 2007. A driver-distraction-based lanekeeping assistance system. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 221, 541-552.
  • PACEJKA, H. 2005. Tire and vehicle dynamics, Elsevier.
  • NETTO, M. S., CHAIB, S. & MAMMAR, S. Lateral adaptive control for vehicle lane keeping. American Control Conference, 2004. Proceedings of the 2004, 2004. IEEE, 2693-2698.
  • NARANJO, J. E., GONZALEZ, C., GARCIA, R. & DE PEDRO, T. 2008. Lane-change fuzzy control in autonomous vehicles for the overtaking maneuver. Intelligent Transportation Systems, IEEE Transactions on, 9, 438-450.
  • MOON, S., MOON, I. & YI, K. 2009. Design, tuning, and evaluation of a full-range adaptive cruise control system with collision avoidance. Control Engineering Practice, 17, 442-455.
  • MOON, S. & YI, K. 2008. Human driving data-based design of a vehicle adaptive cruise control algorithm. Vehicle System Dynamics, 46, 661-690.
  • MAYNE, D. Q., RAWLINGS, J. B., RAO, C. V. & SCOKAERT, P. O. 2000. Constrained model predictive control: Stability and optimality. Automatica, 36, 789-814.
  • MATTINGLEY, J. & BOYD, S. 2012. CVXGEN: a code generator for embedded convex optimization. Optimization and Engineering, 13, 1-27.
  • LI, X. R. & BAR-SHALOM, Y. 1993. Design of an interacting multiple model algorithm for air traffic control tracking. Control Systems Technology, IEEE Transactions on, 1, 186-194.
  • LERRO, D. & BARSHALOM, Y. 1993. Tracking with Debiased Consistent Converted Measurements Versus Ekf. Ieee Transactions on Aerospace and Electronic Systems, 29, 1015-1022.
  • LEE, T., YI, K. & JEONG, C. 2011. Integrated stochastic driver model for evaluation of the vehicle active safety systems. Fast-zero 2011.
  • LEE, J., CHOI, J., YI, K., SHIN, M. & KO, B. 2014. Lane-keeping assistance control algorithm using differential braking to prevent unintended lane departures. Control Engineering Practice, 23, 1-13.
  • LAUGIER, C., PAROMTCHIK, I. E., PERROLLAZ, M., YONG, M., YODER, J.-D., TAY, C., MEKHNACHA, K. & N GRE, A. 2011. Probabilistic analysis of dynamic scenes and collision risks assessment to improve driving safety. Intelligent Transportation Systems Magazine, IEEE, 3, 4-19.
  • KOTHARE, M. V., BALAKRISHNAN, V. & MORARI, M. 1996. Robust constrained model predictive control using linear matrix inequalities. Automatica, 32, 1361-1379.
  • KIM, B. & YI, K. 2014. Probabilistic and Holistic Prediction of Vehicle States Using Sensor Fusion for Application to Integrated Vehicle Safety Systems. Intelligent Transportation Systems, IEEE Transactions on, 15, 2178-2190.
  • KAZANTZIS, N. & KRAVARIS, C. 1999. Time-discretization of nonlinear control systems via Taylor methods. Computers & chemical engineering, 23, 763-784.
  • KATO, S., TSUGAWA, S., TOKUDA, K., MATSUI, T. & FUJII, H. 2002. Vehicle control algorithms for cooperative driving with automated vehicles and intervehicle communications. Ieee Transactions on Intelligent Transportation Systems, 3, 155-161.
  • KASTNER, R., MICHALKE, T., ADAMY, J., FRITSCH, J. & GOERICK, C. 2011. Task-based environment interpretation and system architecture for next generation ADAS. Intelligent Transportation Systems Magazine, IEEE, 3, 20-33.
  • HUANG, S., REN, W. & CHAN, S. C. 2000. Design and performance evaluation of mixed manual and automated control traffic. Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on, 30, 661-673.
  • HOEDEMAEKER, M. & BROOKHUIS, K. A. 1998. Behavioural adaptation to driving with an adaptive cruise control (ACC). Transportation Research Part F: Traffic Psychology and Behaviour, 1, 95-106.
  • GRAY, A., GAO, Y., HEDRICK, J. K. & BORRELLI, F. Robust predictive control for semi-autonomous vehicles with an uncertain driver model. Intelligent Vehicles Symposium (IV), 2013 IEEE, 2013. IEEE, 208-213.
  • GRAY, A., ALI, M., GAO, Y., HEDRICK, J. K. & BORRELLI, F. 2012. Semiautonomous vehicle control for road departure and obstacle avoidance. IFAC Control of Transportation Systems, 1-6.
  • GORDON, T., SARDAR, H., BLOWER, D., LJUNG AUST, M., BAREKET, Z., BARNES, M., BLANKESPOOR, A., ISAKSSON-HELLMAN, I., IVARSSON, J. & JUHAS, B. 2010. Advanced crash avoidance technologies (ACAT) program–Final report of the Volvo-Ford-UMTRI project: safety impact methodology for lane departure warning–Method development and estimation of benefits.
  • GAO, Y., GRAY, A., TSENG, H. E. & BORRELLI, F. 2014. A tube-based robust nonlinear predictive control approach to semiautonomous ground vehicles. Vehicle System Dynamics, 52, 802-823.
  • FURGALE, P., SCHWESINGER, U., RUFLI, M., DERENDARZ, W., GRIMMETT, H., MUHLFELLNER, P., WONNEBERGER, S., TIMPNER, J., ROTTMANN, S. & LI, B. Toward automated driving in cities using close-tomarket sensors: An overview of the V-Charge Project. Intelligent Vehicles Symposium (IV), 2013 IEEE, 2013. IEEE, 809-816.
  • FERGUSON, D. I. F. & DOLGOV, D. A. 2014. Modifying behavior of autonomous vehicle based on predicted behavior of other vehicles. Google Patents.
  • FALCONE, P., TUFO, M., BORRELLI, F., ASGARI, J. & TSENG, H. E. A linear time varying model predictive control approach to the integrated vehicle dynamics control problem in autonomous systems. Decision and Control, 2007 46th IEEE Conference on, 2007b. IEEE, 2980-2985.
  • FALCONE, P., BORRELLI, F., TSENG, H. E., ASGARI, J. & HROVAT, D. 2008. Linear time‐varying model predictive control and its application to active steering systems: Stability analysis and experimental validation. International journal of robust and nonlinear control, 18, 862-875.
  • FALCONE, P., BORRELLI, F., ASGARI, J., TSENG, H. E. & HROVAT, D. 2007a. Predictive active steering control for autonomous vehicle systems. Control Systems Technology, IEEE Transactions on, 15, 566-580.
  • ESKANDARIAN, A. 2012. Handbook of intelligent vehicles, Springer London. FAIRCLOUGH, S. H., MAY, A. J. & CARTER, C. 1997. The effect of time headway feedback on following behaviour. Accident Analysis & Prevention, 29, 387-397.
  • ERLIEN, S., FUJITA, S. & GERDES, J. C. Safe driving envelopes for shared control of ground vehicles. Advances in Automotive Control, 2013. 831-836.
  • ERLIEN, S. M., FUNKE, J. & GERDES, J. C. Incorporating non-linear tire dynamics into a convex approach to shared steering control. American Control Conference (ACC), 2014, 2014. IEEE, 3468-3473.
  • CHEN, B. & TUGNAIT, J. K. 2001. Tracking of multiple maneuvering targets in clutter using IMM/JPDA filtering and fixed-lag smoothing. Automatica, 37, 239-249.
  • CARVALHO, A., GAO, Y., GRAY, A., TSENG, H. E. & BORRELLI, F. Predictive control of an autonomous ground vehicle using an iterative linearization approach. Intelligent Transportation Systems-(ITSC), 2013 16th International IEEE Conference on, 2013. IEEE, 2335-2340.
  • BORRELLI, F., FALCONE, P., KEVICZKY, T., ASGARI, J. & HROVAT, D. 2005. MPC-based approach to active steering for autonomous vehicle systems. International Journal of Vehicle Autonomous Systems, 3, 265-291.
  • BLACKMAN, S. S. 2004. Multiple hypothesis tracking for multiple target tracking. Ieee Aerospace and Electronic Systems Magazine, 19, 5-18.
  • BISHOP, R. A survey of intelligent vehicle applications worldwide. Intelligent Vehicles Symposium, 2000. IV 2000. Proceedings of the IEEE, 2000. IEEE, 25-30.
  • BALAKRISHNAN, N. & CHEN, W. W. 1999. Handbook of tables for order statistics from lognormal distributions with applications, Springer Science & Business Media.
  • ANDERSON, S. J., PETERS, S. C., PILUTTI, T. E. & IAGNEMMA, K. 2010. An optimal-control-based framework for trajectory planning, threat assessment, and semi-autonomous control of passenger vehicles in hazard avoidance scenarios. International Journal of Vehicle Autonomous Systems, 8, 190-216.
  • ALTHOFF, M., STURSBERG, O. & BUSS, M. 2009. Model-based probabilistic collision detection in autonomous driving. Intelligent Transportation Systems, IEEE Transactions on, 10, 299-310.