4 papers
Long-SCOPE: Fully Sparse Long-Range Cooperative 3D Perception
Jiahao Wang, Zikun Xu, Yuner Zhang +8
Cooperative 3D perception via Vehicle-to-Everything communication is a promising paradigm for enhancing autonomous driving, offering extended sensing horizons and occlusion resolut…
DenseFormer: Learning Dense Depth Map from Sparse Depth and Image via Conditional Diffusion Model
Ming Yuan, Chuang Zhang, Lei He +2
The depth completion task is a critical problem in autonomous driving, involving the generation of dense depth maps from sparse depth maps and RGB images. Most existing methods emp…
SparseCoop: Cooperative Perception with Kinematic-Grounded Queries
Jiahao Wang, Zhongwei Jiang, Wenchao Sun +8
Cooperative perception is critical for autonomous driving, overcoming the inherent limitations of a single vehicle, such as occlusions and constrained fields-of-view. However, curr…
V2X-DGPE: Addressing Domain Gaps and Pose Errors for Robust Collaborative 3D Object Detection
Sichao Wang, Ming Yuan, Chuang Zhang +3
In V2X collaborative perception, the domain gaps between heterogeneous nodes pose a significant challenge for effective information fusion. Pose errors arising from latency and GPS…