Abstract: Simultaneous localization and mapping (SLAM) is crucial for the progression of autonomous systems, including autonomous driving, augmented reality (AR), and robotics. Traditionally reliant ...
Abstract: Traditional SLAM performs well in static environments, but experiences degeneration of localization accuracy and stability in dynamic settings. To enhance performance in dynamic environments ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results