7 papers · 1 filter
MomADv2: Reliable Temporal Memory for End-to-End Autonomous Driving
Ziying Song, Shengkai Zhang, Lin Liu +8
Long-horizon planning is critical for safe autonomous driving in complex scenarios. Existing methods improve planning continuity with temporal memory, but such memory may become in…
SpatialFly: Implicit 3D Prior-Guided Visual Reparameterization for Continuous UAV Vision-and-Language Navigation
Wen Jiang, Kangyao Huang, Li Wang +9
UAVs play an important role in applications such as autonomous exploration, disaster response, and infrastructure inspection. However, UAV VLN in complex 3D environments remains ch…
V2X-Radar: A Multi-modal Dataset with 4D Radar for Cooperative Perception
Lei Yang, Xinyu Zhang, Jun Li +10
Modern autonomous vehicle perception systems often struggle with occlusions and limited perception range. Previous studies have demonstrated the effectiveness of cooperative percep…
Towards Efficient 3D Object Detection for Vehicle-Infrastructure Collaboration via Risk-Intent Selection
Li Wang, Boqi Li, Hang Chen +5
Vehicle-Infrastructure Collaborative Perception (VICP) is pivotal for resolving occlusion in autonomous driving, yet the trade-off between communication bandwidth and feature redun…
LongFly: Long-Horizon UAV Vision-and-Language Navigation with Spatiotemporal Context Integration
Wen Jiang, Li Wang, Kangyao Huang +6
Unmanned aerial vehicles (UAVs) are crucial tools for post-disaster search and rescue, facing challenges such as high information density, rapid changes in viewpoint, and dynamic s…
ContrastAlign: Toward Robust BEV Feature Alignment via Contrastive Learning for Multi-Modal 3D Object Detection
Ziying Song, Hongyu Pan, Feiyang Jia +8
In the field of 3D object detection tasks, fusing heterogeneous features from LiDAR and camera sensors into a unified Bird's Eye View (BEV) representation is a widely adopted parad…