6 papers
Occlusion-Aware Multimodal Beam Prediction and Pose Estimation for mmWave V2I
Abidemi Orimogunje, Hyunwoo Park, Kyeong-Ju Cha +3
We propose an occlusion-aware multimodal learning framework that is inspired by simultaneous localization and mapping (SLAM) concepts for trajectory interpretation and pose predict…
Sensing-Assisted Adaptive Beam Probing with Calibrated Multimodal Priors and Uncertainty-Aware Scheduling
Abidemi Orimogunje, Vukan Ninkovic, Ognjen Kundacina +5
Highly directional mmWave/THz links require rapid beam alignment, yet exhaustive codebook sweeps incur prohibitive training overhead. This letter proposes a sensing-assisted adapti…
System-Level Comparison of Multimodal and In-Band mmWave Sensing for Beam Prediction in 6G ISAC
Abidemi Orimogunje, Hyunwoo Park, Igbafe Orikumhi +2
Integrated sensing and communication (ISAC) can reduce beam-training overhead in mmWave vehicle-to-infrastructure (V2I) links by enabling in-band sensing-based beam prediction, whi…
Mobility-Aware Localization in mmWave Channel: Adaptive Hybrid Filtering Approach
Abidemi Orimogunje, Kyeong-Ju Cha, Hyunwoo Park +3
Precise user localization and tracking enhances energy-efficient and ultra-reliable low latency applications in the next generation wireless networks. In addition to computational…
Quantum-MUSIC: Multiple Signal Classification for Quantum Wireless Sensing
Hanvit Kim, Hyunwoo Park, Sunwoo Kim
This paper proposes a Quantum-MUSIC, the first multiple signal classification (MUSIC) algorithm for quantum wireless sensing of multi-user. Since an atomic receiver for quantum wir…
Safe and Efficient Trajectory Optimization for Autonomous Vehicles using B-spline with Incremental Path Flattening
Jongseo Choi, Hyuntai Chin, Hyunwoo Park +3
Gradient-based trajectory optimization with B-spline curves is widely used for unmanned aerial vehicles (UAVs) due to its fast convergence and continuous trajectory generation. How…