6 papers
Refine-and-Contrast: Adaptive Instance-Aware BEV Representations for Multi-UAV Collaborative Object Detection
Zhongyao Li, Peirui Cheng, Liangjin Zhao +6
Multi-UAV collaborative 3D detection enables accurate and robust perception by fusing multi-view observations from aerial platforms, offering significant advantages in coverage and…
SA-Occ: Satellite-Assisted 3D Occupancy Prediction in Real World
Chen Chen, Zhirui Wang, Taowei Sheng +8
Existing vision-based 3D occupancy prediction methods are inherently limited in accuracy due to their exclusive reliance on street-view imagery, neglecting the potential benefits o…
RS-DFM: A Remote Sensing Distributed Foundation Model for Diverse Downstream Tasks
Zhechao Wang, Peirui Cheng, Pengju Tian +6
Remote sensing lightweight foundation models have achieved notable success in online perception within remote sensing. However, their capabilities are restricted to performing onli…
UCDNet: Multi-UAV Collaborative 3D Object Detection Network by Reliable Feature Mapping
Pengju Tian, Peirui Cheng, Yuchao Wang +5
Multi-UAV collaborative 3D object detection can perceive and comprehend complex environments by integrating complementary information, with applications encompassing traffic monito…
UVCPNet: A UAV-Vehicle Collaborative Perception Network for 3D Object Detection
Yuchao Wang, Peirui Cheng, Pengju Tian +6
With the advancement of collaborative perception, the role of aerial-ground collaborative perception, a crucial component, is becoming increasingly important. The demand for collab…
Drones Help Drones: A Collaborative Framework for Multi-Drone Object Trajectory Prediction and Beyond
Zhechao Wang, Peirui Cheng, Mingxin Chen +5
Collaborative trajectory prediction can comprehensively forecast the future motion of objects through multi-view complementary information. However, it encounters two main challeng…