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Communication Dans Un Congrès Année : 2019

Determining vehicle acceleration from noisy non-uniformly sampled speed data for control purposes

Résumé

Vehicle acceleration is an important variable for many automotive control applications. In this paper, we present an approach to estimate vehicle acceleration from vehicle speed data coming from the CAN (Controller Area Network) bus. The proposed method, which can be seen as an extension of the Savitzky-Golay filter to non-uniformly sampled signals, re-samples them to a constant period while filtering noise coming from different sources and also provides a proper estimation of vehicle acceleration. We also consider the frequency response of the filtering effect of the method. Finally, some practical considerations for efficient implementation of the algorithm are given.
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Dates et versions

hal-02461632 , version 1 (30-01-2020)

Identifiants

Citer

Edwin Solano-Araque, Guillaume Colin, Guy-Michel Cloarec, Ahmed Ketfi-Cherif, Yann Chamaillard. Determining vehicle acceleration from noisy non-uniformly sampled speed data for control purposes. IFAC International Symposium on Advances in Automotive Control, Jul 2019, Orléans, France. pp.66-71, ⟨10.1016/j.ifacol.2019.09.011⟩. ⟨hal-02461632⟩
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