Literature Database Entry


B. Zardosht, S. Beauchemin and M.A. Bauer, "An in-vehicle tracking method using vehicular ad-hoc networks with a vision-based system," Proceedings of IEEE International Conference on Systems, Man and Cybernetics (SMC 2014), San Diego, CA, October 2014, pp. 3022–3029.


Vehicle tracking is an important issue in intelligent vehicle automation systems since it can be used to increase safety, convenience and vehicles, efficiency in driving. Many of the methods for vehicle tracking use a vision-based system to recognize the neighboring and provide a real time map of nearby vehicles. In other methods, wireless communication between vehicles has been used to locate the vehicles within range and system, provide tracking information for driving assistance applications. In this paper we present a combination of both a vision-based and a wireless based system to provide more accurate real-time information about neighboring vehicles. We assume that some of the vehicles are equipped with GPS receivers, a Dedicated Short Range Communication (DSRC) transceiver and implemented, one or more cameras mounted on the vehicle. This tracking method has been and evaluated in urban, highway and effective., intersection scenarios under different adoption rates. The results show that a combined approach can be more

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B. Zardosht
S. Beauchemin
M.A. Bauer

BibTeX reference

    address = {San Diego, CA},
    author = {Zardosht, B. and Beauchemin, S. and Bauer, M.A.},
    booktitle = {IEEE International Conference on Systems, Man and Cybernetics (SMC 2014)},
    doi = {10.1109/SMC.2014.6974390},
    month = {10},
    pages = {3022--3029},
    publisher = {Institute of Electrical and Electronics Engineers},
    title = {{An in-vehicle tracking method using vehicular ad-hoc networks with a vision-based system}},
    year = {2014},

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