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This paper proposes a potential field-based method for high speed navigation of unmanned ground vehicles (UGVs) on uneven terrain. A potential field is generated in the two-dimensional “trajectory space” of the UGV path curvature and longitudinal velocity. Dynamic constraints, terrain conditions, and navigation conditions can be expressed in(More)
Unmanned ground vehicles have important applications in high speed rough terrain scenarios. In these scenarios, unexpected and dangerous situations can occur that require rapid hazard avoidance maneuvers. At high speeds, there is limited time to perform navigation and hazard avoidance calculations based on detailed vehicle and terrain models. This paper(More)
In this paper, we propose a newly developed suspension system called " Pentad Grade Assist Suspension (PEGASUS) ". PEGASUS has high mobility as well as rocker-bogie suspension, with very simple mechanism called only-one-joint architecture. PE-GASUS is able to successfully climb up on the step-alike terrain with low energy consumption by scale model test.(More)
In order to carry out experiments many times on the Earth in consideration of the difference of gravitational acceleration to design the rover properly, we introduce similarity law to design and construct the experimental models. We have produced two experimental models of the planetary rover with 5-wheel suspension system (called "PEGASUS") and 4WD system(More)
In this paper, we propose an efficient solution to 6 degrees of freedom (6DOF) localization using Unscented Kalman filter for planetary rovers. The solution is a technique augmented the Unscented Kalman filter for accurate 6DOF localization, named Augmented Unscented Kalman Filter (AUKF). The AUKF is designed to deal with problems which occur on other(More)
In this paper, we propose stereo vision based visual odometry with an effective feature sampling technique for untextured outdoor environment. In order to extract feature points in untextured condition, we divide an image into some sections and affect suitable processes for each section. This approach can also prevent concentration of feature points, and(More)