3 accepted papers
In visual simultaneous localization and mapping (SLAM), the quality of the visual vocabulary is fundamental to the system's ability to represent environments and recognize locations. While ORB-SLAM is a widely used framework, its binary vocabulary, trained through the k-majority-based bag-of-words (…
Autonomous vehicles must recognize their surroundings and distinguish between dynamic and static objects to avoid collisions. Most recent moving object segmentation (MOS) studies project LiDAR point-cloud streams into multiple views to capture spatio-temporal cues. When a single view proves insuffic
Moving object segmentation (MOS) is foundational for autonomous vehicle safety. However, the increasing diversity of LiDAR sensors creates a significant domain shift problem, causing models trained on one sensor to perform poorly when deployed on another. A naive approach of training on combined dat…