SelfOccFlow: Towards end-to-end self-supervised 3D Occupancy Flow prediction
SelfOccFlow：迈向端到端自监督3D占用流预测
机构 * Onboard Fusion team at CARIAD SE, Volkswagen Group（CARIAD SE 车辆集团 onboard 融合团队） ； Dahlem Center for Machine Learning and Robotics group at Freie Universität Berlin（柏林自由大学 Dahlem 机器学习与机器人学小组）
AI总结 SelfOccFlow提出了一种端到端自监督方法，通过分解场景为静态和动态符号距离场并利用特征余弦相似性，实现无需人工标注的3D占用流估计。
Comments Accepted version. Final version is published in IEEE Robotics and Automation Letters, DOI: 10.1109/LRA.2026.3665447
Journal ref IEEE Robotics and Automation Letters, vol. 11, no. 4, pp. 4331-4338, 2026
