AutoRefuel-Seg is a real-world instance segmentation dataset constructed for robotic automotive fuel tank component perception. It contains RGB images of two key fuel tank components: the fuel tank do
Traditional driver’s skill tests primarily assess whether candidates meet specific standards in prescribed tasks, which often fails to fully reflect their overall driving performance in real-world sce
The script in which we derive these values can be found on GitHub (https://github.com/b-jorges/Predicting-while-Moving/blob/main/Geometry Prediction.R).