In this paper we present an algorithm for tracking vehicles through an image sequence. The algorithm is based on matching a model in the image plane to each observed vehicle. The model is based on the characteristic edges of an intensity image of a vehicle. This model is applied to track vehicles through image sequences. We introduce three refinements to a standard model based tracking approach...

The aim of the study was to develop methods for moving vehicle tracking in aerial image sequences taken over urban areas. The first image of the sequence was manually registered to a map. Corner points were extracted semi-automatically, then tracked along the sequence, to enable video stabilisation by homography estimation. Moving objects were detected by means of adaptive background subtractio...

The motions of planar tracked vehicles are govemed by three force and moment equations, but driven by only two independent control variables. The force equation perpendicular to the tracks represents a d y n a m i c nonholonomic constraint which is explicitly dependent on vehicle speed. It couples path planning with trajectory planning, that is, solving for vehicle kinematic motions requires sp...

The aim of this paper is to present a hybrid electrical air-cushion tracked vehicle (HETAV) for the operation on swamp peat. Mathematical models are incorporated with accounting kinematics and dynamics behaviors of the vehicle. Sinkage of the HETAV is sensed by an ultrasonic displacement (UD) sensor, in order to operate the air-cushion system. The air-cushion of HETAV is protected with a novel-...

This study presents a developed hybrid electrical air-cushion tracked vehicle (HETAV) for the transportation operation of agricultural and industrial goods on the swamp peat terrain bearing capacity of 5 kN/m. The vehicle’s design parameters are optimized by using the developed mathematical models which are made based on the kinematics and dynamics behaviors of the vehicle. A set of sensors are...