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- W1567988892 abstract "Safety driving is due to the prevention of risks situation, one of the important risk is the rollover of a heavy vehicle. Preventing this accident requires the knowledge of the rollover coefficient which depends on the vehicle dynamic state and other vehicle parameters. Thus, we estimate the vehicle dynamic state using the Extended and Unscented Kalman Filter and the Sliding Mode Observer. Thereafter, we calculate the probability to have a rollover risk using the previous result and Monte-Carlo simulations." @default.
- W1567988892 created "2016-06-24" @default.
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- W1567988892 date "2007-07-01" @default.
- W1567988892 modified "2023-10-01" @default.
- W1567988892 title "Heavy vehicle state estimation and rollover risk evaluation using Kalman Filter and Sliding Mode Observer" @default.
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- W1567988892 doi "https://doi.org/10.23919/ecc.2007.7068741" @default.
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