Uche Onyekpe
Papers
1
Total Citations
32
H-Index
1
About
Dr. Uche Onyekpe is a leading researcher in intelligent transportation systems and autonomous vehicle navigation, with a particular focus on resilient positioning in GNSS-denied environments. His most influential work introduces a deep learning framework that leverages wheel encoder data to accurately estimate vehicle position when satellite signals are unavailable—a critical challenge for autonomous navigation in tunnels, urban canyons, and other obstructed settings. This paper, published in 2021, has already garnered 32 citations, reflecting its timely impact on the field. Dr. Onyekpe’s contributions bridge machine learning and robotics, offering practical solutions for wheeled robots and autonomous vehicles to maintain localization integrity without reliance on external infrastructure. His research is foundational for advancing safe, continuous navigation in real-world conditions, and his innovative use of deep neural networks to interpret proprioceptive sensor data marks a significant step toward robust, low-cost positioning systems.
Research Focus
Key Achievements
Top Papers
- 1