JOURNAL ARTICLE

1P1-L02 Moving Obstacle Detection with Lidar using Autonomous Robot(Wheeled Robot/Tracked Vehicle)

Yuki NishikawaYoji KURODA

Year: 2011 Journal:   The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) Vol: 2011 (0)Pages: _1P1-L02_1   Publisher: Japan Society Mechanical Engineers

Abstract

This paper describes a moving object detection method in outdoor environments. Probabilistic grid map is introduced to mitigate the impact of occulusion. Our method applies x-means to cluster discrete data and track to several objects correctly. In order to track objects robustly and estimate state of objects, particle filter is introduced. The approach is tested in an outdoor environment using 2D laser-range-finder. The experimental result indicates that our system is able to track moving objects robustly.

Keywords:
Computer vision Artificial intelligence Obstacle Computer science Occupancy grid mapping Particle filter Robot Lidar Track (disk drive) Probabilistic logic Grid Grid reference Object detection Mobile robot Filter (signal processing) Geography Remote sensing Segmentation

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Topics

Air Quality Monitoring and Forecasting
Physical Sciences →  Environmental Science →  Environmental Engineering

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