Dallin C. Wiberg
Papers
1
Total Citations
2
H-Index
1
About
Dallin C. Wiberg is a researcher focused on advancing autonomous navigation and perception systems, particularly for small-scale, resource-constrained platforms like unmanned aerial vehicles (UAVs). His primary research areas include 3D object detection, sensor fusion, and low-power embedded computer vision. Wiberg’s most notable contribution is his work on an RGB-LiDAR pipeline for 3D bounding box estimation, designed specifically for indoor navigation applications with strict size, weight, power, and cost (SWaP-C) constraints. This work addresses the critical challenge of enabling accurate spatial awareness on small form-factor robots, where traditional high-performance sensors are impractical. While his 2023 paper has garnered early citations, its impact lies in its practical approach to bridging RGB and depth data for real-time, on-board processing. Wiberg’s research is particularly relevant for the growing field of autonomous indoor drones and compact robotic systems, where efficient perception is key to safe and reliable operation. His contributions help pave the way for more capable, lightweight autonomous systems in confined environments.
Research Focus
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Top Papers
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