- -

A Global Optimal Path Planning and Controller Design Algorithm for Intelligent Vehicles

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

A Global Optimal Path Planning and Controller Design Algorithm for Intelligent Vehicles

Show full item record

Wang, H.; Yu, X.; Song, H.; Lu, Z.; Lloret, J.; You, F. (2018). A Global Optimal Path Planning and Controller Design Algorithm for Intelligent Vehicles. Mobile Networks and Applications. 23(5):1165-1178. https://doi.org/10.1007/s11036-016-0778-5

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/118944

Files in this item

Item Metadata

Title: A Global Optimal Path Planning and Controller Design Algorithm for Intelligent Vehicles
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Issued date:
Abstract:
[EN] Autonomous vehicle guidance and trajectory planning is one of the key technologies in the autonomous control system for intelligent vehicles. Firstly, the target pursuit model for intelligent vehicles was established ...[+]
Subjects: Intelligent vehicle , Path planning , Differential game , Polynomial method , Controller design
Copyrigths: Cerrado
Source:
Mobile Networks and Applications. (issn: 1383-469X )
DOI: 10.1007/s11036-016-0778-5
Publisher:
Springer-Verlag
Publisher version: http://doi.org/10.1007/s11036-016-0778-5
Thanks:
This paper is supported by the Zhejiang Provincial Natural Science Foundation under Grant No. LY13E080010. The first author would like to appreciate Dr. Xuecai Yu and the reviewers for the valuable discussions to improve ...[+]
Type: Artículo

References

Yilmaz NK et al (2008) Path planning of autonomous underwater vehicles for adaptive sampling using mixed integer linear programming. IEEE J Ocean Eng 33(4):522–537

Garcia MA et al (2009) Path planning for autonomous mobile robot navigation with ant colony optimization and fuzzy cost function evaluation. Appl Soft Comput 9(3):1102–1110

Xu C, Duan H, Liu F (2010) Chaotic artificial bee colony approach to uninhabited combat air vehicle (UCAV) path planning. Aerosp Sci Technol 14(8):535–541 [+]
Yilmaz NK et al (2008) Path planning of autonomous underwater vehicles for adaptive sampling using mixed integer linear programming. IEEE J Ocean Eng 33(4):522–537

Garcia MA et al (2009) Path planning for autonomous mobile robot navigation with ant colony optimization and fuzzy cost function evaluation. Appl Soft Comput 9(3):1102–1110

Xu C, Duan H, Liu F (2010) Chaotic artificial bee colony approach to uninhabited combat air vehicle (UCAV) path planning. Aerosp Sci Technol 14(8):535–541

Jaillet L, Cortés J, Siméon T (2010) Sampling-based path planning on configuration-space costmaps. IEEE Trans Robot 26(4):635–646

Kirillova S et al (2008) An NMA-guided path planning approach for computing large-amplitude conformational changes in proteins. Prot: Struct Funct Bioinform 70(1):131–143

Sud A et al (2008) Real-time path planning in dynamic virtual environments using multiagent navigation graphs. IEEE Trans Vis Comput Graph 14(3):526–538

Tsai C, Huang H, Chan C (2011) Parallel elite genetic algorithm and its application to global path planning for autonomous robot navigation. IEEE Trans Ind Electron 58(10):4813–4821

Roberge V, Tarbouchi M, Labonté G (2013) Comparison of parallel genetic algorithm and particle swarm optimization for real-time UAV path planning. IEEE Transact Indust Inform 9(1):132–141

Mahmoudian N, Geisbert J, Woolsey C (2010) Approximate analytical turning conditions for underwater gliders: implications for motion control and path planning. IEEE J Ocean Eng 35(1):131–143

Liu S, Sun D, Zhu C (2011) Coordinated motion planning for multiple mobile robots along designed paths with formation requirement. IEEE/ASME Transact Mechatron 16(6):1021–1031

Soulignac M (2011) Feasible and optimal path planning in strong current fields. IEEE Trans Robot 27(1):89–98

Gasparetto A et al (2012) Experimental validation and comparative analysis of optimal time-jerk algorithms for trajectory planning. Robot Comput Integr Manuf 28(2):164–181

Sun N et al (2012) A novel kinematic coupling-based trajectory planning method for overhead cranes. IEEE/ASME Transact Mechatron 17(1):166–173

Zhang R, Ge P, Zhou X, Jiang T, Wang R (2013) An Method for Vehicle-Flow Detection and Tracking in Real-Time Based on Gaussian Mixture Distribution. Adv Mech Eng 2013(861321):8

Glaser S et al (2010) Maneuver-based trajectory planning for highly autonomous vehicles on real road with traffic and driver interaction. IEEE Trans Intell Transp Syst 11(3):589–606

Anderson SJ et al (2010) An optimal-control-based framework for trajectory planning, threat assessment, and semi-autonomous control of passenger vehicles in hazard avoidance scenarios. Int J Veh Auton Syst 8(2):190–216

Capisani LM, Ferrara A (2012) Trajectory planning and second-order sliding mode motion/interaction control for robot manipulators in unknown environments. IEEE Trans Ind Electron 59(8):3189–3198

Duan H, Liu S, Wu J (2009) Novel intelligent water drops optimization approach to single UCAV smooth trajectory planning. Aerosp Sci Technol 13(8):442–449

Gasparetto A, Zanotto V (2008) A technique for time-jerk optimal planning of robot trajectories. Robot Comput Integr Manuf 24(3):415–426

Karaman S, Frazzoli E (2011) Sampling-based algorithms for optimal motion planning. Intern J Robot Res 30(7):846–894

Kress-Gazit H, Fainekos GE, Pappas GJ (2009) Temporal-logic-based reactive mission and motion planning. IEEE Trans Robot 25(6):1370–1381

Wen-xiao Z, Tong-hai J, Xiao L, Jun-lin Z, Rong-hui Z, Yan-en W (2014) Transmission of wireless sensor networks based on distributed multi-staging area check method. J Jilin Univ Eng Technol Ed 44(01):246–252

Kuwata Y et al (2009) Real-time motion planning with applications to autonomous urban driving. IEEE Trans Control Syst Technol 17(5):1105–1118

Likhachev M, Ferguson D (2009) Planning long dynamically feasible maneuvers for autonomous vehicles. Intern J Robot Res 28(8):933–945

Ghabcheloo R et al (2009) Coordinated path-following in the presence of communication losses and time delays. SIAM J Control Optim 48(1):234–265

Dolgov D et al (2010) Path planning for autonomous vehicles in unknown semi-structured environments. Intern J Robot Res 29(5):485–501

Nouyan S, Campo A, Dorigo M (2008) Path formation in a robot swarm. Swarm Intell 2(1):1–23

Feng Y, Ronghui Z, Lie G et al (2015) Trajectory planning and tracking control for autonomous lane change maneuver based on the cooperative vehicle infrastructure system. Expert Syst Appl 45(2015):5932–5946

[-]

This item appears in the following Collection(s)

Show full item record