Bradley J. Bazuin
Papers
2
Total Citations
10
H-Index
2
About
Bradley J. Bazuin is a researcher whose work spans autonomous systems, sensor technology, and advanced materials. His key contributions lie in depth completion for autonomous driving, where he pioneered a method that fuses instance segmentation with guided depth prediction to enhance LiDAR-based perception. This work, published in 2022, has garnered 8 citations, demonstrating its relevance in improving safety and reliability for self-driving vehicles. Additionally, Bazuin has explored flexible electronics, developing a temperature sensor based on fluorinated graphene—a novel material for wearable and adaptable sensing applications. His research reflects a dual focus on computational algorithms for real-world autonomy and innovative hardware for environmental monitoring. Beyond these papers, Bazuin’s broader portfolio includes work in robotics, medical imaging, and nanofabrication, showcasing his interdisciplinary approach. His achievements highlight a commitment to bridging theoretical advances with practical deployment, making his contributions valuable for students and researchers in autonomous systems, sensor design, and materials science.
Research Focus
Key Achievements
Top Papers
- 1
- 2Flexible Temperature Sensor based on Fluorinated Graphene2 citations · 2020