DC10: Multi-modal sensor fusion for JCAS systems
Task: Multi-modal sensor fusion for JCAS systems (WP3)
Host institution: Bosch
Country: Germany
Supervisor: Prof. M. Hollick [TU Darmstadt]
Co-suopervisors: Dr. G. H. Sim [TU Darstadt]; Dr. A. Mueller [Bosch]
Objectives: To devise effective context-aware algorithms to fuse multi-modal sensor information (e.g., from gyroscope, camera, etc.) in JCAS systems to enhance their robustness; To minimise the energy consumption and computational resource requirements by choosing the most effective sensor modalities given the conditions of the network.
Expected Results: Adaptive sensor fusion strategy through identification of complementary modalities; Proposed resource optimisation algorithm for minimising overall system resource consumptions; Proposed solutions are implemented in sub-6GHz testbed.
PhD enrolment: Doctoral School of TU Darmstadt
Planned secondments:
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TU Darmstadt (5 months, M17-M21): mmWave JCAS fusion with camera-based navigation systems, with A. Asadi (KPI: joint journal paper)
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TU Delft (4 months, M24-M27): Low-complexity robust JCAS fused with visible light sensors, with Q. Wang (KPI: joint conference paper)
Candidate profile: telecommunication engineering, applied mathematics, electrical engineering, computer science (in order of preference)
Desirable skills/interests: signal processing, statistical filtering, machine learning, applied optimization (the applicant should be proficient in at least one or two of the skills)