SuperOcc: Toward Cohesive Temporal Modeling for Superquadric-based Occupancy Prediction

ArXi:2601.15644v2 Announce Type: replace 3D occupancy prediction plays a pivotal role in the realm of autonomous driving, as it provides a comprehensive understanding of the driving environment. Most existing methods construct dense scene representations for occupancy prediction, overlooking the inherent sparsity of real-world driving scenes. Recently, 3D superquadric representation has emerged as a promising sparse alternative to dense scene representations due to the strong geometric expressiveness of superquadrics.