Neural network-based device-free Wi-Fi tracking achieves superior accuracy over theory-driven approaches, yet its practical utility is severely limited by poor generalization across different device layouts. Existing models implicitly learn site-specific correlations, necessitating labor-intensive data recollection and...
Yun-Liang Wang, Yi-Chen Tian, Xuan-Qi Meng et al.· Proceedings of the ACM on In...· 1 citation
Smart homes are evolving from passive response to proactive service, where understanding the semantic information in user trajectories is essential. However, existing tracking systems output only sparse location sequences, insufficient for higher-level semantic reasoning. The core bottleneck lies in the lack of large-s...
Rui-Kai Chu, Qi-Xuan Cai, Yi-Ping Yan et al.· Proceedings of the ACM on In...· 0 citations
Autonomous obstacle avoidance for UAVs in complex low-altitude dynamic environments remains challenging due to the dual difficulties of perception ambiguity and the absence of semantic risk assessment. Existing geometric-based approaches fail to distinguish the potential risks of heterogeneous obstacles, while the inst...
Zhong-Yuan Shi, Zi-Tong Zhao, Yi-Yang Yu et al.· IEEE Robotics and Automation...· 0 citations
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