This paper discusses mobile robot localization by means of geometric features from a laser range finder and a CCD camera. The features are line segments from the laser scanner and vertical edges from the camera. Emphasis is put on sensor models with a strong physical basis. For both sensors, uncertainties in the calibration and measurement process are adequately modeled and propagated through t...

In this paper we describe the application of a new automatic signal recognition methodology to the recognition of lung sounds. Two main features of this methodology are: the use of symbolic knowledge about the signal sources (in addition to sensory inputs), and fusion of multisensor information. We show steps involved in the design of an automatic multisensor recognition algorithm that extracts...

In this paper a multisensor setup for localization consisting of a 360 degree laser range finder and a monocular vision system is presented. Its practicability under conditions of continuous localization during motion in real-time (referred to as on-the-fly localization) is investigated in largescale experiments. The features in use are infinite horizontal lines for the laser and vertical lines...

The number of perception sensors on automated vehicles increases due to the increasing number of advanced driver assistance system functions and their increasing complexity. Furthermore, fail-safe systems require redundancy, thereby increasing the number of sensors even further. A one-size-fits-all multisensor data fusion architecture is not realistic due to the enormous diversity in vehicles, ...

This paper presents an advanced telerobotic control system for a mobile robot with multisensor feedback. A telecontrol concept for various degrees of cooperation between a human operator and a mobile robot is described. With multisensor on-board the robot at the remote site can adjust its path while continuously accepting commands from the human operator. Interactive modelling that allows the m...

High accuracy target recognition and tracking systems using a single sensor or a passive multisensor set are susceptible to external interferences and exhibit environmental dependencies. These difficulties stem mainly from limitations to the available imaging frequency bands, and a general lack of coherent diversity of the available target-related data. This paper proposes an active multimodal ...

A necessary first step in the fusion of data from a number of different remote sensors is the correction of the systematic geometric distortion characteristic of each sensor followed by a precision registration to remove any residual random offsets. This paper describes our approach to automated multisensor registration. The effects of spatially, temporally and spectrally varying factors which ...

s part of an Office of Naval Research–funded science and technology development task, APL is developing an identification (ID) sensor data fusion testbed. The testbed is driven by an APL-modified version of the Joint Composite Tracking Network pilot benchmark called the Composite Combat ID Analysis Testbed (CAT). The CAT provides accurate tracking for realistic scenarios involving multiple targ...

This research focuses on the improvement of intelligent Hanfu design system’s performance. Henceforth, in current study, an data acquisition system based scientific graphics programming and wearable multisensor is designed for field human body size measurement model reconstruction. Initially, basis multisensor, a recognition analysis posture presented. The error nine-axis inertial sensor proces...