Parvaneh Saeedi

Maxar Technologies (United States), University of British Columbia, Simon Fraser University

Papers

Total Citations

154

H-Index

About

Parvaneh Saeedi is a researcher specializing in computer vision, autonomous robotics, and mobile robot navigation, with a particular focus on enabling robots to perceive and operate intelligently within unstructured, real-world environments. Her most influential work centers on vision-based systems for 3D localization, motion tracking, and autonomous control of mobile robots. Her 2006 paper, "Vision-based 3-D Trajectory Tracking for Unknown Environments," which has garnered 82 citations, stands as her most impactful contribution, demonstrating how trinocular camera systems mounted on robots can estimate motion and navigate natural environments without prior mapping. This work built upon her earlier foundational research from 2002 and 2004, which established robust frameworks for 3D motion tracking and stereo-vision-based localization. Notably, her 2004 study on an autonomous excavator with vision-based track-slippage control, cited 40 times, showcased practical applications of her methods in challenging terrain navigation. More recently, her 2010 work extended her expertise into 3D object recognition within indoor environments, highlighting her evolving research agenda. Across her career, Saeedi has made meaningful contributions to bridging theoretical computer vision with the practical demands of autonomous robotic systems.