159
Views
1
CrossRef citations to date
0
Altmetric
Articles

Logistics vehicle tracking method based on intelligent vision

Pages 276-282 | Received 30 Aug 2017, Accepted 22 Oct 2017, Published online: 10 Nov 2017

References

  • Demirel E , Demirel N , Gökçen H . A mixed integer linear programming model to optimize reverse logistics activities of end-of-life vehicles in Turkey[J]. J Clean Prod. 2016;112(1):2101–2113.10.1016/j.jclepro.2014.10.079
  • Hendrickson TP , Kavvada O , Shah N , et al . Life-cycle implications and supply chain logistics of electric vehicle battery recycling in California[J]. Environ Res Lett. 2015;10(1):014011.10.1088/1748-9326/10/1/014011
  • Felgenhauer M , Hamacher T . State-of-the-art of commercial electrolyzers and on-site hydrogen generation for logistic vehicles in South Carolina[J]. Int J Hydro Ener. 2015;40(5):2084–2090.10.1016/j.ijhydene.2014.12.043
  • Peng Z , Wang D , Li T . Predictor-based neural dynamic surface control for distributed formation tracking of multiple marine surface vehicles with improved transient performance[J]. Sci China Inf Sci. 2016;59(9):092–210.
  • Morency C , Verreault H , Demers M . Identification of the minimum size of the shared-car fleet required to satisfy car-driving trips in Montreal[J]. Transportation. 2015;42(3):435–447.10.1007/s11116-015-9605-2
  • Frías-Velázquez A , Hese PV , Pižurica A , et al . Split-and-match: a Bayesian framework for vehicle re-identification in road tunnels[J]. Eng Appl Artif Intell. 2015;45(2):220–233.10.1016/j.engappai.2015.06.024
  • Goeke D , Schneider M . Routing a mixed fleet of electric and conventional vehicles[J]. Eur J Oper Res. 2015;245(1):81–99.10.1016/j.ejor.2015.01.049
  • Juan A , Mendez C , Faulin J , et al. Electric vehicles in logistics and transportation: a survey on emerging environmental, strategic, and operational challenges[J]. Energies. 2016, 9(2):86–91.
  • Yu J , Zheng S , Feng J , et al . New methodology for determination of load spectra for the vehicle accelerated durability testing associated with the time correlated fatigue damage analysis method[J]. Int J Automot Technol. 2017;18(3):547–560.10.1007/s12239-017-0054-0
  • Stalnaker D , Xie kJ , Wei T . Scalable vehicle models for tire testing[J]. SAE Int J Passeng Cars Mech Syst. 2015;8(2):98–120.
  • Liu B , Bruni S . A method for testing railway wheel sets on a full-scale roller rig[J]. Veh Syst Dyn. 2015;53(9):1331–1348.10.1080/00423114.2015.1046462
  • Surblys V , Sokolovskij E . Research of the vehicle brake testing efficiency. Proc Eng. 2016;134:452–458.10.1016/j.proeng.2016.01.067
  • Zhou P , Beeh E , Friedrich HE . A novel testing method for uniaxial compression of thin-sheet magnesium alloys[J]. Exper Mech. 2016;56(3):1–7.
  • Zuberogoitia I , Real JD , Torres JJ , et al . Testing pole barriers as feasible mitigation measure to avoid bird vehicle collisions (BVC)[J]. Ecol Eng. 2015;83(144):144–151.10.1016/j.ecoleng.2015.06.026
  • Liu J , Grant SL , Benesty J . A low complexity reweighted proportionate affine projection algorithm with memory and row action projection[J]. EURASIP J Adv Sig Process. 2015;2015(1):1–12.
  • Chowdhury A , Kautz E , Yener B , et al . Image driven machine learning methods for microstructure recognition[J]. Comput Mater Sci. 2016;123:176–187.10.1016/j.commatsci.2016.05.034
  • Mondal RP , Chandra G , Bandyopadhyay S , et al . Effect of temperature and search area on the functional response of Anisops sardea (Hemiptera: Notonectidae) against Anopheles stephensi in laboratory bioassay[J]. Acta Trop. 2017;166(1):262–267.10.1016/j.actatropica.2016.11.034
  • Vicente F , Huang Z , Xiong X , et al . Driver gaze tracking and eyes off the road detection system[J]. IEEE Trans Intell Trans Syst. 2015;16(4):2014–2027.10.1109/TITS.2015.2396031
  • Zhao D , Li S , Zhu Q . Adaptive synchronised tracking control for multiple robotic manipulators with uncertain kinematics and dynamics[J]. Int J Syst Sci. 2016;47(4):791–804.10.1080/00207721.2014.906681
  • Biemond JJB , Heemels WPMH , Sanfelice RG , et al . Distance function design and Lyapunov techniques for the stability of hybrid trajectories ☆[J]. Automatica. 2016;73(2):38–46.10.1016/j.automatica.2016.07.006

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.