Shashank Bhushan

Centre for Artificial Intelligence and Robotics, University of Washington

Papers

Total Citations

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About

Shashank Bhushan is a researcher at the intersection of autonomous systems and planetary geospatial analysis, with key contributions to unmanned aerial vehicle (UAV) navigation and planetary stereogrammetry. His work on object detection and location estimation for UAVs, published in 2020, addresses a critical challenge in autonomous flight: enabling a drone to detect, locate, and track objects relative to itself using only a single camera and GPS. This capability is foundational for UAVs to manipulate their environment, with applications in surveillance, search-and-rescue, and precision agriculture. The paper has garnered 16 citations, reflecting its practical importance in the growing field of drone autonomy. Bhushan also contributed to the development of the NASA Ames Stereo Pipeline (NeoGeographyToolkit/StereoPipeline 2.7.0), a suite of automated geodesy and stereogrammetry tools used to process planetary images from orbiting and landed robotic explorers. This open-source software, cited 9 times, enables scientists to generate high-resolution 3D terrain models of other planets, supporting missions like Mars rover navigation. Bhushan’s dual focus on terrestrial UAV systems and planetary remote sensing demonstrates a rare versatility, bridging autonomous robotics with space exploration. His work empowers both drones on Earth and robots on other worlds to perceive and interact with their environments.