Enabling Mobile Robots to Know Where They are at Any Given Time
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Tight coupling of vision-lidar measurements for effective odometry, visual odometry using pseudo map points, lateral localization for reliable, urban autonomous driving.
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Tight coupling of vision-lidar measurements for effective odometry, visual odometry using pseudo map points, lateral localization for reliable, urban autonomous driving.
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Robust matching for more accurate feature correspondences in visual SLAM, tracking of traversable region boundary, lanemarking detection, vanishing point tracking for road geometry understanding, analyzing ortho-images to generate lane-level maps.
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Target-tracking for drone, moving object detection and tracking, generating instantaneous map around ground vehicles.
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Detection and tracking lateral stoplines, workzone detection for understanding changes of traffic rules and road geometry.
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Development of a SW stack for autonomous mobility by shared autonomy, analyzing cpu utilizatioin patterns to understand dynamic computational workload of a self-driving car, Tartan Racing: the winning entry of the 2007 Urban Challenge.
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Multi-agents system for enforcing need-to-know security policy, information fusion for command and control, multi-agents system for assisting financial portfolio management.
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Textmining, personalized information filtering.
Published in IUI-00, 2000
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Published in SIGIR-03, 2003
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Published in Terrorism Informatics, 2008
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Published in IEEE SMC-12, 2012
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Published in IROS-14, 2014
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Published in IEEE-SMC-14, 2014
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Published in JFR, 2018
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Published in WACV-18, 2018
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Published in IV-19, 2019
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Published in RiTA-24, 2024
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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