Enabling Mobile Robots to Know Where They are at Any Given Time
Published:
Tight coupling of vision-lidar measurements for effective odometry, visual odometry using pseudo map points, lateral localization for reliable, urban autonomous driving.
Work
Enabling Mobile Robots to Know Where They Can and Cannot Drive
Published:
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.
Enabling Mobile Robots to Know What Objects Are Around
Published:
Target-tracking for drone, moving object detection and tracking, generating instantaneous map around ground vehicles.
Enabling Self-Driving Cars to Understand What Rules They Should Abide By
Published:
Detection and tracking lateral stoplines, workzone detection for understanding changes of traffic rules and road geometry.
Developing Self-Driving Cars: ‘Look Ma, My Other Car Drives Itself’
Published:
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.
Enabling Multi-Agents System to be Intelligent
Published:
Multi-agents system for enforcing need-to-know security policy, information fusion for command and control, multi-agents system for assisting financial portfolio management.
Enabling Software Agents to Mine Knowledge from Unstructured Texts
Published:
Textmining, personalized information filtering.