Place recognition is a fundamental but challenging perceptual problem. One common application is robot mapping: recognizing places allows the trajectory of a robot to be over-constrained, allowing better maps to be produced. Similar looking (but physically distinct) environments can result in false positives, a problem exacerbated by the large positional uncertainties that can accumulate from dead-reckoning. A classic approach is based on associating observations with specific land... (more)
APRIL Laboratory || University of Michigan, Computer Science and Engineering
