Improving Long Term Accuracy of Visual Localization in Urban Environment
Localization remains a pivotal aspect of mobile robotics, with robots being required to discern their position by comparing sensor inputs against a pre-established environmental map.Notably, environmental shifts over time can diminish the reliability of these localization efforts.To address this challenge, our study introduces two interventions: dy