Print Email Facebook Twitter Trajectory planning and following in urban environments Title Trajectory planning and following in urban environments: To reduce traffic accidents involving vulnerable road users Author van der Drift, Victor (TU Delft Mechanical, Maritime and Materials Engineering) Contributor de Groot, O.M. (mentor) Ferranti, L. (mentor) Shyrokau, B. (graduation committee) Degree granting institution Delft University of Technology Programme Mechanical Engineering | Vehicle Engineering | Cognitive Robotics Date 2023-07-18 Abstract This thesis presents a comprehensive approach to integrating a trajectory planner and follower for autonomous vehicles (AVs) using model predictive contouring control (MPCC). The planner generates collision-free trajectories with a kinematic bicycle model, while the follower tracks them using a dynamic bicycle model with a smaller integration step size and higher update frequency. The hierarchical architecture allows for a long planning horizon and a fast control loop. Mismatches between the planner and follower can result in tracking errors and conservative trajectories. To address this, a feedback-hierarchical interface is proposed, feeding back the mismatch error from follower to planner. Obstacles are then inflated with this error, minimizing harmful deviations and collision risks. The paper validates the Local Motion Planner using a simulator with a dynamic bicycle model, testing different follower-solver settings in urban scenarios. The results show a reduction in collision rate of 23\% compared to a single-layer MPCC planner, with similar levels of lateral error and task duration. Subject Autonomous Vehicle NavigationMotion and Path PlanningTrajectory Tracking and Path FollowingTrajectory trackingCollision AvoidanceModel Predictive Contouring Control To reference this document use: http://resolver.tudelft.nl/uuid:3c597934-5774-4717-977b-e5b93e41b5ef Part of collection Student theses Document type master thesis Rights © 2023 Victor van der Drift Files PDF MSc_Thesis_Report_FINAL.pdf 4.88 MB Close viewer /islandora/object/uuid:3c597934-5774-4717-977b-e5b93e41b5ef/datastream/OBJ/view