4 papers
Parameter Tuning Under Uncertain Road Perception in Driver Assistance Systems
Leon Greiser, Christian Rathgeber, Vladislav Nenchev +1
Advanced driver assistance systems have improved comfort, safety, and efficiency of modern vehicles. However, sensor limitations lead to noisy lane estimates that pose a significan…
Trajectory Planning for Automated Driving using Target Funnels
Benjamin Bogenberger, Johannes Bürger, Vladislav Nenchev
Self-driving vehicles rely on sensory input to monitor their surroundings and continuously adapt to the most likely future road course. Predictive trajectory planning is based on s…
Automatic Parameter Tuning of Self-Driving Vehicles
Hung-Ju Wu, Vladislav Nenchev, Christian Rathgeber
Modern automated driving solutions utilize trajectory planning and control components with numerous parameters that need to be tuned for different driving situations and vehicle ty…
Optimizing Energy-Efficient Braking Trajectories with Anticipatory Road Data for Automated Vehicles
Andres Alvarez Prado, Vladislav Nenchev, Christian Rathgeber
Trajectory planning in automated driving typically focuses on satisfying safety and comfort requirements within the vehicle's onboard sensor range. This paper introduces a method t…