Trajectory optimization based on recursive B-spline approximation for automated longitudinal control of a battery electric vehicle
This work describes a method for weighted least squares approximation of an unbounded number of data points using a B-spline function. The method can shift the bounded B-spline function definition range during run-time. The approximation method is used for optimizing velocity trajectories for an ele...
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| Autore principale: | |
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| Natura: | Online |
| Lingua: | inglese |
| Pubblicazione: |
KIT Scientific Publishing
2024
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| Soggetti: | |
| Accesso online: | OCN: 1426319733 |
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| Riassunto: | This work describes a method for weighted least squares approximation of an unbounded number of data points using a B-spline function. The method can shift the bounded B-spline function definition range during run-time. The approximation method is used for optimizing velocity trajectories for an electric vehicle with respect to travel time, comfort and energy consumption. The trajectory optimization method is extended to a driver assistance system for automated vehicle longitudinal control. |
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