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
The distance data was gathered after calibration of the bicycle simulator, through a total of 10 runs, which consisted of 5 runs in Hackett Road and 5 runs in Riverside Drive. For opening the distance
