Zhengping Ji

Office: 2333 Engineering Building
Lab Phone: (517) 432-9474
Home Phone: (517) 355-8123
Email: jizhengp@cse.msu.edu
　

　

　

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CURRENT RESEARCH PROJECTS

　

Object Classification by the Sensor Fusion of Radar and Vision Systems

A low cost, real-time object recognition system is developed in a sensor fusion framework. The powerful vision algorithm is used to deal with a wide variation of targets provided by radar system. The objects of interest fall into three categories:(1) vehicle (e.g., cars and trucks); (2) pedestrians; (3) other objects having radar returns (e.g., light poles, guide rails, signs and bridges, garbage cans, road barriers). The module clusters multiple radar tracks into a single object and acilitates the threat assessment algorithms by offering object category labels. It fits into an embedded system and holds promises in industrial applications. 

　

Sensor-based Navigation for Autonomously Driving Urban Vehicle

Several sensors were applied to percept local environments during the vehicle driving. The environmental perception is achieved by a combination of vision, LADAR, ultrasonic, and contact sensors. For the autonomous driving, primary navigation is provided by a DGPS, commercial correction services and an Inertial Measurement Unit. The work will be partially used in the DARPA Urban Challenge, 2007. 

　

Autonomous Mental Developmental Learning

This research is to advance artificial intelligence using what we call the developmental approach. The new approach is motivated by human cognitive and behavioral development from infancy to adulthood. It requires a fundamentally different way of addressing the issue of machine intelligence. Developmental programs, such as SHM, IHDR, MILN, etc., was applied for a robot to develop its mind through the learning process. 
PREVIOUS RESEARCH PROJECTS

Autonomous Outdoor Navigation

Developed an online-learning and attention-based approach to outdoor navigation in DARPA Grand Challenge, 2005. The algorithms were used on Team AVS and Team Crossland in  the challenge events.

Visual System of Rock Core Image

Developed a visual system for rock core image analysis, in order to obtain physical parameters of geologic samples.

PUBLICATIONS

Books

  • S. Zhang, K. Liao, Z. Ji, Circuit and PCB Design.  Tsinghua University Press, 2004, ISBN 7-302-07716-9. (Chinese)

Papers  

  • Z. Ji, X. Huang, and J. Weng, Perceptual Learning of Sensorimotor Behaviors by a SASE Agent for Vision-based Navigation, IEEE International Joint Conference on Neural Networks, Hongkong, 2008.

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  • Z. Ji, Matthew D. Luciw and John Weng, Epigenetic Sensorimotor Pathways and Its Application to Developmental Object Learning, IEEE Congress on Evolutionary Computation, Hongkong, 2008.

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  • Z. Ji, M. Luciw, J.Weng, S. Zeng, A Biologically-Motivated Developmental System for Perceptual Awareness in Vehicle-Based Robots, International Conference on Epigenetic Robotics, Rutgers, 2007.

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  • H. Zhao, Z. Ji, M. Luciw and J. Weng, Developmental Learning for Avoiding Dynamic Obstacles Using Attention, IEEE International Conference on Development and Learning, London, 2007.

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  • M. Luciw and Z. Ji,  Building Blocks of Development, IEEE Computational Intelligence Magazine, vol. 1, no. 3, 2006.

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  • Z. Ji, X. Huang, W. Tong, J. Weng, On-line Learning for Covert and Overt Perceptual Capability for Vision-based Navigation, International Conference on Development and Learning, Bloomington, Indiana, May 31-June 3, 2006.

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  • J. Wang, Z. Ji, A Dynamic Image Processing System, Journal of Image Display, vol.5, pp. 37-40, 2004. (Chinese)

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　Updated by Nov.,  2007