A System-driven Automatic Ground Truth Generation Method for DL Inner-City Driving Corridor Detectors. (arXiv:2207.11234v1 [cs.CV])

Data-driven perception approaches are well-established in automated driving
systems. In many fields even super-human performance is reached. Unlike
prediction and planning approaches, mainly supervised learning algorithms are
used for the perception domain. Therefore, a major remaining challenge is the
efficient generation of ground truth data. As perception modules are positioned
close to the sensor, they typically run on raw sensor data of high bandwidth.
Due to that, the generation of ground truth labels typically causes a
significant manual effort, which …

arxiv city cv dl driving generation