3 papers
cs.RO2026
TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving
Tugrul Gorgulu, Atakan Dag, M. Esat Kalfaoglu +4
Collecting a high-quality dataset is a critical task that demands meticulous attention to detail, as overlooking certain aspects can render the entire dataset unusable. Autonomous…
cs.CV2022
Benchmarking Visual Localization for Autonomous Navigation
Lauri Suomela, Jussi Kalliola, Atakan Dag +2
This work introduces a simulator-based benchmark for visual localization in the autonomous navigation context. The dynamic benchmark enables investigation of how variables such as…
cs.RO2021
Monolithic vs. hybrid controller for multi-objective Sim-to-Real learning
Atakan Dag, Alexandre Angleraud, Wenyan Yang +4
Simulation to real (Sim-to-Real) is an attractive approach to construct controllers for robotic tasks that are easier to simulate than to analytically solve. Working Sim-to-Real so…