Vehicle Trajectory Prediction Based on Road Recognition

Qing Bo Shao; Hsin Guan; Xin Jia

doi:10.4028/www.scientific.net/AMM.599-601.760

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 599-601Vehicle Trajectory Prediction Based on Road...

Vehicle Trajectory Prediction Based on Road Recognition

Abstract:

Predicting vehicle trajectory accurately is a crucial task for an autonomous vehicle. It is also necessary for many Advanced Driver Assistance System to predict trajectory of the ego-vehicle’s. In recent years, some vehicles trajectory prediction algorithm is mainly based on a simple Motion Model. This paper puts forward a method which combines road recognition and the hypothesis of steady preview and dynamic correction for trajectory prediction. In the road recognition algorithm, both methods of Kalman Filter (KF) and Recursive Least-Square (RLS) work well to estimate the road slope and road friction coefficient.

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Periodical:

Applied Mechanics and Materials (Volumes 599-601)

Pages:

760-766

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.599-601.760

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Online since:

August 2014

Authors:

Qing Bo Shao, Hsin Guan, Xin Jia*

Keywords:

Friction Coefficient (FC), Road Recognition, Slope Estimation, Trajectory Prediction

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* - Corresponding Author

References

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