A fundamental challenge in deploying vision-based object detection on a robotic platform is achieving sufficient perceptual performance for safe and effective operation. While general purpose object detectors have steadily improved in performance, we are still some way from being able to rely solely on purely vision-based robotic perception systems.

This thesis seeks to resolve this problem by exploiting a characteristic of computer vision unique to robotic applications, with a part...