4 accepted papers
Recent SLAM systems have adopted 3D Gaussian Splatting (3DGS) to generate photorealistic maps. Despite its high fidelity, scaling 3DGS-SLAM to large scenes remains challenging. In most implementations, 3DGS maintains a single globally shared set of Gaussians, which can cause catastrophic forgetting
Semantic segmentation is crucial for autonomous navigation in off-road environments, enabling precise classification of surroundings to identify traversable regions. However, distinctive factors inherent to off-road conditions, such as source-target domain discrepancies and sensor corruption from ro…
Traversability mapping for autonomous navigation in unstructured environments has been widely investigated for decades. However, it remains challenging due to the uncertainty in geometry perception and the simplified representation of traversability maps that fail to capture detailed structures of e
Traversability estimation is a core function for robot navigation in off-road unstructured environments and diverse research results have been published so far. One of the recent approaches is using the self-supervised learning (SSL) technique. SSL has been focused on as a breakthrough technique for