John Kiene
Papers
1
Total Citations
8
H-Index
1
About
John Kiene is a researcher specializing in low Size, Weight, Power, and Cost (SWaP-C) payloads for unmanned ground vehicles, with a focus on mapping interiors and subterranean environments. His major contribution lies in developing optimized sensing systems that address critical gaps in Dense Urban Areas (DUA) operations, where traditional LIDAR systems fall short in identifying threats across subsurface, surface, and super-surface structures. Kiene’s work, notably detailed in his 2020 paper “Optimized low SWaP-C payload for mapping interiors and subterranean on an Unmanned Ground Vehicle,” has garnered 8 citations, reflecting its relevance to defense and robotics communities. By adapting commercial LIDAR for constrained, multi-level environments, he advances autonomous navigation in complex terrains. His research is pivotal for military and civilian applications requiring resilient, cost-effective mapping solutions, making him a key figure in field robotics and tactical reconnaissance.
Research Focus
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Top Papers
- 1