4 papers
Scene-Adaptive VLA: Efficient Autonomous Driving via Dynamic Layer Routing
Yujia Yang, Quan Yuan, Jiawei Fan +5
Vision-Language-Action (VLA) models offer a promising paradigm for autonomous driving. However, the massive parameter scale of VLAs strains onboard computational resources during r…
Large language models for optical network O&M: Agent-embedded workflow for automation
Shengnan Li, Yidi Wang, Fubin Wang +7
With the continuous expansion of optical networks and the increasing diversity of services, existing operation and maintenance (O&M) approaches are increasingly challenged to meet…
Beyond BEV: Optimizing Point-Level Tokens for Collaborative Perception
Yang Li, Quan Yuan, Guiyang Luo +6
Collaborative perception allows agents to enhance their perceptual capabilities by exchanging intermediate features. Existing methods typically organize these intermediate features…
CollaMamba: Efficient Collaborative Perception with Cross-Agent Spatial-Temporal State Space Model
Yang Li, Quan Yuan, Guiyang Luo +5
By sharing complementary perceptual information, multi-agent collaborative perception fosters a deeper understanding of the environment. Recent studies on collaborative perception…