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M2DA: Multi-Modal Fusion Transformer Incorporating Driver Attention for Autonomous Driving
By incorporating driver attention, we empower the human-like scene understanding ability to autonomous vehicles to identify crucial areas within complex scenarios precisely and ensure safety.
GraphBEV: Towards Robust BEV Feature Alignment for Multi-Modal 3D Object Detection
Additionally, we propose a Global Align module to rectify the misalignment between LiDAR and camera BEV features.
Implementation and Evaluation of Physical Layer Key Generation on SDR based LoRa Platform
Physical layer key generation technology which leverages channel randomness to generate secret keys has attracted extensive attentions in long range (LoRa)-based networks recently.
Quantum Learning Based Nonrandom Superimposed Coding for Secure Wireless Access in 5G URLLC
We in this paper propose a quantum learning based nonrandom superimposed coding method to encode and decode pilots on multidimensional resources, such that the uncertainty of attacks can be learned quickly and eliminated precisely.
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