2017 · 374 citations · 26 references
EngineeringVehicle ControlIntelligent RoboticsTrajectory PlanningSystems EngineeringArchitectures Separate PlanningFeasible TrajectoriesVehicle DynamicsKinematicsRobot LearningTransportation EngineeringHealth SciencesPath PlanningKinematic Bicycle ModelDesignAutonomous DrivingConsistent ModelAerospace EngineeringMotion PlanningRoute PlanningAutomationPlanningRoboticsTrajectory Optimization
Most autonomous driving architectures separate planning and control phases in different layers, even though both problems are intrinsically related. Due to limitations on the available computational power, their levels of abstraction and modeling differ; in particular, vehicle dynamics are often highly simplified at the planning phase, which may lead to inconsistency between the two layers. In this paper, we study the kinematic bicycle model, which is often used for trajectory planning, and compare its results to a 9 degrees of freedom model. Modeling errors and limitations of the kinematic bicycle model are highlighted. Lastly, this paper proposes a simple and efficient consistency criterion in order to validate the use of this model for planning purposes.
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Flatness and defect of non-linear systems: introductory theory and examples
Michel Fliess, Jean Lévine, Philippe Martin et al. · International Journal of Control · 1995 · 3.1K citations
Spatial Planning: A Configuration Space Approach
Tomás Lozano‐Pérez · IEEE Transactions on Computers · 1983 · 2.1K citations