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In this paper, coordinated motion control of underwater vehicle-manipulator system (UVMS) is addressed. In order for UVMS to carry out manipulation tasks alone, motion planning with consideration of redundancy and tracking control under disturbances are required. We propose redundancy resolution with optimization of restoring moments as motion planning and inverse optimal nonlinear Hinfin control...
This paper proposes a novel technique to estimate slips and velocities of an unmanned skid-steered vehicle. An optical flow-based visual sensor looking down the terrain surface is employed to recover the motion of the vehicle by tracking features selected from the terrain surface. The special orientation of the on-board camera is to assure high accuracy of the motion estimation. To cope with the noise...
The trajectory tracking control problem of a tracked vehicle with slipping is considered in this paper. The slipping effects are analyzed and modeled as three time-varying parameters, which can be estimated simultaneously with robotpsilas pose using nonlinear estimators such as unscented Kalman filter. Dynamic feedback linearization integrated with a globally exponential stabilizing state feedback...
Object detection and tracking has various application areas including intelligent transportation systems. We introduce an object detection and tracking approach that combines the background subtraction algorithm and the feature tracking and grouping algorithm. We first present an augmented background subtraction algorithm which uses a low-level feature tracking as a cue. The resulting background subtraction...
The paper proposes a stable tracking fuzzy controller for a mobile robot (MR). Input to the vehicle are the reference position (xr, yr, thetas). The main objective is to propose a control algorithm to guide the robot from an initial position to a predefined target. One of the difficulties of this problem lies in the fact that the velocities posses two degree of freedom (translational (V) and angular...
We present a novel approach for multi-object tracking which considers object detection and spacetime trajectory estimation as a coupled optimization problem. Our approach is formulated in a minimum description length hypothesis selection framework, which allows our system to recover from mismatches and temporarily lost tracks. Building upon a state-of-the-art object detector, it performs multiview/multicategory...
The recognition of moving vehicle plays an important role in ITS (intelligent transport system). This paper describes a tracking-based recognition method for moving vehicles under snowy weather conditions when it is difficult to detect the vehicles because of environmental noise, caused by snowflakes, snow accumulation, reflections, and so on. First of all, the moving objects, including the obvious...
In this paper we investigate the possibility of applying the hybrid model predictive control (MPC) framework to solve a control problem regarding tracking of a moving vehicle. The study originates from the design of an adaptive cruise controller (ACC) of a Smart car, that aims to closely follow a reference trajectory transmitted by a leading vehicle. The physical behavior of the Smart and the constraints...
The autonomous car steering problem is defined as a regulation task of yaw and relative lateral position dynamics along a given path trajectory. Therefore a control structure based on vehicle dynamics inversion is proposed to decouple the two regulation tasks. The inversion structure assumes all-wheel (joint front- and rear-axle) steering actuation. The resulting algorithm exhibits additionally integrated...
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