This paper introduces an originally designed tracked robot. This robot belongs to the variable geometry single-tracked vehicle (VGSTV) category. Two active joints are used to control the shape of the vehicle and the tension of the tracks. Thus, it becomes possible to adapt the shape of the robot and the ground/robot contact points to the obstacle by controlling the joints. This paper presents s...

This paper presents a vision-based driver assistance system composing of vehicle detection using knowledge-based method and vehicle tracking using Kalman filtering. First, a preceding vehicle is localized by a proposed detection scheme, consisting of shadow detection and brake lights detection. Second, the possible vehicle region is extracted for verification. Symmetry analysis includes contour...

Abstract Technique of approximate optimal vibration control and simulation for vehicle active suspension systems are developed. Considered the nonlinear damping springs, mechanical model a dynamic system class tracked established corresponding state space form is described. To prolong working life improve ride comfort, based on devices using approach, an controller designed, algorithm presented...

Tracks and wheels are the most widely used running gear for locomotion of agricultural vehicles. The main difference between two systems is contact area with ground and, consequently, pressure distribution. Evaluating distribution on important because soil damage vehicle performance depend it. This analysis especially difficult tracked vehicles, owing to their complexity compared wheeled system...

In order to determine the best approach for the modeling of tracked vehicle-terrain interactions, a comparison is made between terramechanics and continuum mechanics plasticity soil models that can be used in vehicle dynamic simulations. The absolute nodal coordinate formulation (ANCF) which can be used in multibody system (MBS) dynamics to model large rotations and large deformations will prov...

This paper discusses the detection of moving objects (being a crucial part of driver assistance systems) using monocular or stereoscopic computer vision. In both cases, object detection is based on motion analysis of individually tracked image points (optical flow), providing a motion metric which corresponds to the likelihood that the tracked point is moving. Based on this metric, points are s...